About the team Elsevier's mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. This role sits within Elsevier's Platform Data Science organization, a centralized AI and data science group responsible for advancing intelligent discovery, retrieval, and generative AI capabilities across Elsevier products and platforms. The organization develops foundational AI technologies that power experiences such as LeapSpace, Elsevier's AI powered research assistant, as well as Elsevier's broader Search & AI Platform. The Platform Data Science organization works at the intersection of: Search and retrieval systems, Generative AI and LLM applications, AI evaluation and experimentation, Semantic enrichment and knowledge systems, Scalable AI platforms and intelligent workflows. About the role We are looking for a Data Scientist III to help design, build, and evaluate advanced AI capabilities supporting LeapSpace and Elsevier's Search & AI Platform initiatives. This role focuses on applied AI development, retrieval systems, and AI evaluation, helping bring cutting edge AI technologies into production experiences used by researchers worldwide. You will work closely with senior data scientists, engineers, product managers, and domain experts across retrieval systems, generative AI, reasoning workflows, evaluation frameworks, and experimentation, contributing to the next generation of AI powered scientific discovery tools. This role is ideal for someone with hands on experience in applied AI, NLP, information retrieval, and LLM based applications, who enjoys building innovative solutions and translating emerging AI techniques into impactful product capabilities. Key responsibilities Develop and improve LLM powered research workflows, including: Scientific question answering, Literature summarization, Semantic exploration and discovery, Research insight generation, Citation aware retrieval and reasoning workflows. Build and iterate on agentic and multi step AI workflows using frameworks such as LangGraph and related orchestration tools. Apply modern techniques in NLP, Generative AI, Embeddings and semantic representations, Retrieval augmented generation (RAG), AI reasoning and workflow orchestration. Evaluate emerging AI models, tools, and frameworks and contribute recommendations for experimentation and adoption. Contribute to prompt engineering, grounding strategies, context management, and hallucination mitigation efforts. Support integration of scientific metadata, ontologies, and knowledge assets into AI powered workflows. Design, develop, and optimize search and retrieval pipelines, including lexical, vector, and hybrid retrieval approaches. Contribute to the development and enhancement of RAG systems that integrate LLMs with trusted scientific and biomedical content. Experiment with embeddings, re ranking models, chunking strategies, and retrieval orchestration techniques to improve relevance and answer quality. Support development of semantic search, ranking, and knowledge discovery capabilities. Collaborate with engineering teams to deploy and scale AI powered solutions. Develop and apply evaluation frameworks for search and AI systems, including IR metrics (e.g., NDCG, recall, precision) and LLM and RAG evaluation metrics (e.g., grounding, faithfulness, hallucination detection). Build and maintain evaluation datasets, benchmark suites, and annotation workflows. Conduct offline experiments and contribute to online experimentation and A/B testing. Analyze experimental results and communicate findings to stakeholders. Contribute to responsible AI practices focused on quality, reliability, and trust. Partner with product managers, engineers, UX researchers, and domain experts to deliver AI powered capabilities. Communicate technical findings and recommendations clearly to both technical and non technical audiences. Contribute to knowledge sharing and adoption of best practices across the Platform Data Science organization. Support delivery of projects from research and experimentation through production deployment. Required qualifications Master's or PhD in Computer Science, Data Science, Machine Learning, NLP, Information Retrieval, or a related field. Experience in data science, machine learning, applied NLP, information retrieval, generative AI, or a related field. Hands on experience with LLM based applications and generative AI systems, RAG pipelines and retrieval systems, Search and retrieval architectures (lexical, vector, hybrid). Evaluation methodologies for IR and generative AI systems. Strong programming skills in Python. Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack). Experience working with Databricks or similar distributed data and machine learning platforms. Understanding of experimentation methodologies, evaluation frameworks, and statistical analysis. Proficiency with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn). Demonstrated ability to independently execute technical projects and contribute to cross functional initiatives. Preferred qualifications Experience building AI assistants, agentic workflows, or conversational AI applications. Experience working on search, ranking, recommendation, or retrieval systems. Familiarity with scientific, biomedical, or scholarly datasets. Experience with knowledge graphs, ontologies, or semantic enrichment systems. Exposure to production ML systems and MLOps practices. Academic or industry research experience in NLP, information retrieval, search, or generative AI. Experience working in content rich, knowledge intensive, or highly regulated domains. Working for you - we know that your well being and happiness are key to a long and successful career. Benefits we are delighted to offer Comprehensive Pension Plan. Home, office, or commuting allowance. Generous vacation entitlement and option for sabbatical leave. Maternity, Paternity, Adoption and Family Care leave. Flexible working hours. Personal Choice budget. Internal communities and networks. Various employee discounts. Recruitment introduction reward. Employee Assistance Program (global). About the business As a global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all. We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence. By combining high quality content with powerful analytics, we transform complexity into clarity and deliver mission critical insights that help professionals make better decisions when it matters most. We deliver insights that help research institutions, governments, and funders achieve their goals. We help researchers discover and share knowledge, collaborate, and accelerate innovation. We help librarians provide verified, quality information to universities. We help innovators turn knowledge into new products. We help health professionals improve patient care and educators train the next generation of doctors and nurses. Connecting quality content and innovative technologies, we make progress go further and happen faster. And by championing inclusion and sustainability, we ensure progress benefits all. With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world. We offer a diverse range of opportunities across technology, commercial, business, and early career jobs. If you are looking for a career that inspires progress in science . click apply for full job details
26/07/2026
Full time
About the team Elsevier's mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. This role sits within Elsevier's Platform Data Science organization, a centralized AI and data science group responsible for advancing intelligent discovery, retrieval, and generative AI capabilities across Elsevier products and platforms. The organization develops foundational AI technologies that power experiences such as LeapSpace, Elsevier's AI powered research assistant, as well as Elsevier's broader Search & AI Platform. The Platform Data Science organization works at the intersection of: Search and retrieval systems, Generative AI and LLM applications, AI evaluation and experimentation, Semantic enrichment and knowledge systems, Scalable AI platforms and intelligent workflows. About the role We are looking for a Data Scientist III to help design, build, and evaluate advanced AI capabilities supporting LeapSpace and Elsevier's Search & AI Platform initiatives. This role focuses on applied AI development, retrieval systems, and AI evaluation, helping bring cutting edge AI technologies into production experiences used by researchers worldwide. You will work closely with senior data scientists, engineers, product managers, and domain experts across retrieval systems, generative AI, reasoning workflows, evaluation frameworks, and experimentation, contributing to the next generation of AI powered scientific discovery tools. This role is ideal for someone with hands on experience in applied AI, NLP, information retrieval, and LLM based applications, who enjoys building innovative solutions and translating emerging AI techniques into impactful product capabilities. Key responsibilities Develop and improve LLM powered research workflows, including: Scientific question answering, Literature summarization, Semantic exploration and discovery, Research insight generation, Citation aware retrieval and reasoning workflows. Build and iterate on agentic and multi step AI workflows using frameworks such as LangGraph and related orchestration tools. Apply modern techniques in NLP, Generative AI, Embeddings and semantic representations, Retrieval augmented generation (RAG), AI reasoning and workflow orchestration. Evaluate emerging AI models, tools, and frameworks and contribute recommendations for experimentation and adoption. Contribute to prompt engineering, grounding strategies, context management, and hallucination mitigation efforts. Support integration of scientific metadata, ontologies, and knowledge assets into AI powered workflows. Design, develop, and optimize search and retrieval pipelines, including lexical, vector, and hybrid retrieval approaches. Contribute to the development and enhancement of RAG systems that integrate LLMs with trusted scientific and biomedical content. Experiment with embeddings, re ranking models, chunking strategies, and retrieval orchestration techniques to improve relevance and answer quality. Support development of semantic search, ranking, and knowledge discovery capabilities. Collaborate with engineering teams to deploy and scale AI powered solutions. Develop and apply evaluation frameworks for search and AI systems, including IR metrics (e.g., NDCG, recall, precision) and LLM and RAG evaluation metrics (e.g., grounding, faithfulness, hallucination detection). Build and maintain evaluation datasets, benchmark suites, and annotation workflows. Conduct offline experiments and contribute to online experimentation and A/B testing. Analyze experimental results and communicate findings to stakeholders. Contribute to responsible AI practices focused on quality, reliability, and trust. Partner with product managers, engineers, UX researchers, and domain experts to deliver AI powered capabilities. Communicate technical findings and recommendations clearly to both technical and non technical audiences. Contribute to knowledge sharing and adoption of best practices across the Platform Data Science organization. Support delivery of projects from research and experimentation through production deployment. Required qualifications Master's or PhD in Computer Science, Data Science, Machine Learning, NLP, Information Retrieval, or a related field. Experience in data science, machine learning, applied NLP, information retrieval, generative AI, or a related field. Hands on experience with LLM based applications and generative AI systems, RAG pipelines and retrieval systems, Search and retrieval architectures (lexical, vector, hybrid). Evaluation methodologies for IR and generative AI systems. Strong programming skills in Python. Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack). Experience working with Databricks or similar distributed data and machine learning platforms. Understanding of experimentation methodologies, evaluation frameworks, and statistical analysis. Proficiency with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn). Demonstrated ability to independently execute technical projects and contribute to cross functional initiatives. Preferred qualifications Experience building AI assistants, agentic workflows, or conversational AI applications. Experience working on search, ranking, recommendation, or retrieval systems. Familiarity with scientific, biomedical, or scholarly datasets. Experience with knowledge graphs, ontologies, or semantic enrichment systems. Exposure to production ML systems and MLOps practices. Academic or industry research experience in NLP, information retrieval, search, or generative AI. Experience working in content rich, knowledge intensive, or highly regulated domains. Working for you - we know that your well being and happiness are key to a long and successful career. Benefits we are delighted to offer Comprehensive Pension Plan. Home, office, or commuting allowance. Generous vacation entitlement and option for sabbatical leave. Maternity, Paternity, Adoption and Family Care leave. Flexible working hours. Personal Choice budget. Internal communities and networks. Various employee discounts. Recruitment introduction reward. Employee Assistance Program (global). About the business As a global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all. We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence. By combining high quality content with powerful analytics, we transform complexity into clarity and deliver mission critical insights that help professionals make better decisions when it matters most. We deliver insights that help research institutions, governments, and funders achieve their goals. We help researchers discover and share knowledge, collaborate, and accelerate innovation. We help librarians provide verified, quality information to universities. We help innovators turn knowledge into new products. We help health professionals improve patient care and educators train the next generation of doctors and nurses. Connecting quality content and innovative technologies, we make progress go further and happen faster. And by championing inclusion and sustainability, we ensure progress benefits all. With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world. We offer a diverse range of opportunities across technology, commercial, business, and early career jobs. If you are looking for a career that inspires progress in science . click apply for full job details
About the team Elsevier's mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. As the landscape of science and healthcare evolves, we are pioneering intelligent discovery experiences - from Scopus AI and LeapSpace to ClinicalKey AI, PharmaPendium, and next-generation life sciences platforms. These products leverage retrieval-augmented generation (RAG), semantic search, and generative AI to make knowledge more discoverable, connected, and actionable across disciplines. The Search & AI Evaluation team sits within the Platform Data Science organization and is responsible for advancing enterprise-scale search, retrieval, and evaluation capabilities across Elsevier's global products. About the role We are looking for a Senior Data Scientist I to lead the development and evaluation of advanced search and generative AI systems. You will own complex problem areas end-to-end, drive methodological rigor in evaluation, and contribute to the technical direction of retrieval and RAG systems. This role is ideal for someone with deep hands on experience in search/retrieval systems, RAG pipelines, and evaluation frameworks, who is ready to operate as a senior individual contributor with growing technical leadership responsibilities. Key responsibilities Play a leading role in the design and optimization of lexical, vector, and hybrid retrieval systems at scale. Help architect and improve RAG pipelines, including retrieval strategies, prompt design, and system orchestration (e.g., LangGraph-based workflows). Help drive experimentation with embeddings, re ranking models, and retrieval architectures to significantly improve relevance and user outcomes. Partner with engineering to ensure robust, scalable, and production ready implementations. Help define and evolve evaluation strategies for search and generative AI systems across products. Help design robust frameworks for: IR evaluation (e.g., NDCG, recall, ranking quality) GenAI evaluation (e.g., grounding, faithfulness, hallucination detection) Contribute to development of evaluation datasets, gold standards, and annotation strategies. Guide and review experimental design, including offline evaluation and A/B testing, ensuring statistical rigor and validity. Contribute to responsible AI practices, including bias, fairness, and risk evaluation Apply and adapt state of the art techniques in NLP, embeddings, and generative AI to production use cases. Evaluate and integrate emerging technologies into the team's roadmap. Contribute to knowledge graph and semantic enrichment efforts that support retrieval systems. Collaborate with domain experts, ontology engineers, and biomedical informaticians to integrate scientific taxonomies, citation networks, and clinical ontologies into retrieval systems. Incorporate structured data - including datasets, chemical entities, genes, drugs, clinical trials, and patient outcomes - into AI powered discovery pipelines. Advance Elsevier's knowledge graph and metadata integration strategy, linking research and health data for more context aware retrieval. Apply cutting edge research in information retrieval, NLP, embeddings, and generative AI to continuously evolve Elsevier's discovery and evaluation stack. Work closely with product, engineering, and domain experts to define and deliver impactful solutions. Communicate findings and recommendations clearly to both technical and non technical stakeholders. Take ownership of projects from problem definition through experimentation and deployment. Required qualifications Master's or PhD in Computer Science, Data Science, Machine Learning, or a related field (or equivalent practical experience) Experience in data science, machine learning, or applied NLP Strong hands on experience with: Search and retrieval systems (lexical, vector, hybrid) RAG pipelines and LLM based systems Evaluation methodologies for ML / IR / GenAI Advanced programming skills in Python Experience with modern ML/NLP frameworks (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with Databricks or similar distributed data/ML platforms Strong understanding of experimentation design and statistical analysis Preferred qualifications PhD in Computer Science, Data Science, Machine Learning, or a related field Experience working with large scale datasets (scientific, biomedical, or enterprise data) Familiarity with scientific ontologies and metadata standards (e.g., MeSH, UMLS, ORCID, CrossRef) Exposure to production ML systems and MLOps practices Familiarity with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn, or similar) to communicate insights effectively Experience with human in the loop evaluation or annotation workflows Publications or demonstrated applied research in IR, NLP, or generative AI Why join us? Join our team and contribute to a culture of innovation, collaboration, and excellence. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long term goals. Flexible working hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Life assurance, plus optional additional life cover and spouse's life cover at own cost Access to a competitive contributory pension scheme Save As You Earn share option scheme Access to optional self funded benefits, including electric vehicle scheme, cycle to work scheme, dental insurance, critical illness cover, health cash plan, personal travel insurance Travel season ticket loan Paid time off when you become a parent, and paid time off for carers Support for personal and work related challenges Access to emergency care for both the elderly and children Time off to support the charities and causes that matter to you Awards to recognize key service milestones About the business As a global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. If performed in NLD Amsterdam (Radarweg), the base pay range is €53,800 - €89,900. This job may be subject to a collective labor agreement in the Netherlands. Please consult with the hiring team for further details. We know your well being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all. We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence. By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most. We deliver insights that help research institutions, governments, and funders achieve their goals. We help researchers discover and share knowledge, collaborate, and accelerate innovation. We help librarians provide verified, quality information to universities. We help innovators turn knowledge into new products. We help health professionals improve patient care and educators train the next generation of doctors and nurses. Connecting quality content and innovative technologies, we make progress go further and happen faster. And by championing inclusion and sustainability . click apply for full job details
26/07/2026
Full time
About the team Elsevier's mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. As the landscape of science and healthcare evolves, we are pioneering intelligent discovery experiences - from Scopus AI and LeapSpace to ClinicalKey AI, PharmaPendium, and next-generation life sciences platforms. These products leverage retrieval-augmented generation (RAG), semantic search, and generative AI to make knowledge more discoverable, connected, and actionable across disciplines. The Search & AI Evaluation team sits within the Platform Data Science organization and is responsible for advancing enterprise-scale search, retrieval, and evaluation capabilities across Elsevier's global products. About the role We are looking for a Senior Data Scientist I to lead the development and evaluation of advanced search and generative AI systems. You will own complex problem areas end-to-end, drive methodological rigor in evaluation, and contribute to the technical direction of retrieval and RAG systems. This role is ideal for someone with deep hands on experience in search/retrieval systems, RAG pipelines, and evaluation frameworks, who is ready to operate as a senior individual contributor with growing technical leadership responsibilities. Key responsibilities Play a leading role in the design and optimization of lexical, vector, and hybrid retrieval systems at scale. Help architect and improve RAG pipelines, including retrieval strategies, prompt design, and system orchestration (e.g., LangGraph-based workflows). Help drive experimentation with embeddings, re ranking models, and retrieval architectures to significantly improve relevance and user outcomes. Partner with engineering to ensure robust, scalable, and production ready implementations. Help define and evolve evaluation strategies for search and generative AI systems across products. Help design robust frameworks for: IR evaluation (e.g., NDCG, recall, ranking quality) GenAI evaluation (e.g., grounding, faithfulness, hallucination detection) Contribute to development of evaluation datasets, gold standards, and annotation strategies. Guide and review experimental design, including offline evaluation and A/B testing, ensuring statistical rigor and validity. Contribute to responsible AI practices, including bias, fairness, and risk evaluation Apply and adapt state of the art techniques in NLP, embeddings, and generative AI to production use cases. Evaluate and integrate emerging technologies into the team's roadmap. Contribute to knowledge graph and semantic enrichment efforts that support retrieval systems. Collaborate with domain experts, ontology engineers, and biomedical informaticians to integrate scientific taxonomies, citation networks, and clinical ontologies into retrieval systems. Incorporate structured data - including datasets, chemical entities, genes, drugs, clinical trials, and patient outcomes - into AI powered discovery pipelines. Advance Elsevier's knowledge graph and metadata integration strategy, linking research and health data for more context aware retrieval. Apply cutting edge research in information retrieval, NLP, embeddings, and generative AI to continuously evolve Elsevier's discovery and evaluation stack. Work closely with product, engineering, and domain experts to define and deliver impactful solutions. Communicate findings and recommendations clearly to both technical and non technical stakeholders. Take ownership of projects from problem definition through experimentation and deployment. Required qualifications Master's or PhD in Computer Science, Data Science, Machine Learning, or a related field (or equivalent practical experience) Experience in data science, machine learning, or applied NLP Strong hands on experience with: Search and retrieval systems (lexical, vector, hybrid) RAG pipelines and LLM based systems Evaluation methodologies for ML / IR / GenAI Advanced programming skills in Python Experience with modern ML/NLP frameworks (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with Databricks or similar distributed data/ML platforms Strong understanding of experimentation design and statistical analysis Preferred qualifications PhD in Computer Science, Data Science, Machine Learning, or a related field Experience working with large scale datasets (scientific, biomedical, or enterprise data) Familiarity with scientific ontologies and metadata standards (e.g., MeSH, UMLS, ORCID, CrossRef) Exposure to production ML systems and MLOps practices Familiarity with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn, or similar) to communicate insights effectively Experience with human in the loop evaluation or annotation workflows Publications or demonstrated applied research in IR, NLP, or generative AI Why join us? Join our team and contribute to a culture of innovation, collaboration, and excellence. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long term goals. Flexible working hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Life assurance, plus optional additional life cover and spouse's life cover at own cost Access to a competitive contributory pension scheme Save As You Earn share option scheme Access to optional self funded benefits, including electric vehicle scheme, cycle to work scheme, dental insurance, critical illness cover, health cash plan, personal travel insurance Travel season ticket loan Paid time off when you become a parent, and paid time off for carers Support for personal and work related challenges Access to emergency care for both the elderly and children Time off to support the charities and causes that matter to you Awards to recognize key service milestones About the business As a global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. If performed in NLD Amsterdam (Radarweg), the base pay range is €53,800 - €89,900. This job may be subject to a collective labor agreement in the Netherlands. Please consult with the hiring team for further details. We know your well being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all. We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence. By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most. We deliver insights that help research institutions, governments, and funders achieve their goals. We help researchers discover and share knowledge, collaborate, and accelerate innovation. We help librarians provide verified, quality information to universities. We help innovators turn knowledge into new products. We help health professionals improve patient care and educators train the next generation of doctors and nurses. Connecting quality content and innovative technologies, we make progress go further and happen faster. And by championing inclusion and sustainability . click apply for full job details
Founded in 2018, Causaly's AI platform for enterprise scale scientific research redefines the limits of human productivity. We give humans a powerful new way to find, visualize and interpret biomedical knowledge and automate critical research workflows, accelerating solutions for some of the greatest health challenges we face. We work with some of the world's largest biopharma companies and institutions on use cases spanning Drug Discovery, Safety and Competitive Intelligence. You can read more about how we accelerate knowledge acquisition and improve decision making in our blog posts here: Blog - Causaly We are backed by top VCs including ICONIQ, Index Ventures, Pentech and Marathon. About the team We're hiring AI engineers to help us transform research outcomes in biomedical sciences. We utilise generative AI and agents to help scientists find novel connections and insights from biomedical literature and datasets. Delivering a faster research experience is not just a matter of picking the latest LLM model. Getting accurate, scientifically relevant, trustworthy and meaningful results relies on building trust with our users that comes from integrating proper levels of guardrails, biomedical curation, consistent update cycles and robust deployment practices that make our platform a one stop shop for a researcher's needs. We're looking for AI engineers who will champion this cause and help us apply AI to transform the way biomedical professionals carry out their research and day to day exploration. What you'll be doing Design and implement ML/AI solutions end to end, from the idea and data exploration phase to deployment and monitoring, balancing cutting edge techniques with pragmatism to deliver measurable impact. Apply strong software engineering principles, such as modularity, testing, code reviews, CI/CD and observability, to ensure AI systems are reliable, maintainable, production ready and can be readily adapted to future developments. Choose the right approach for the problem at hand, evaluating classical ML and NLP techniques, LLM based solutions, and agentic solutions to balance trade offs between speed, cost, complexity, interpretability, and performance. Collaborate closely with product, design, and other engineering teams to scope work, align on success metrics, and incrementally ship improvements in user facing features powered by AI. Document system architectures and decision rationale early and clearly, enabling alignment across teams and accelerating onboarding and iteration. Champion model and data quality, including dataset versioning, robust evaluation, fairness/bias assessment, and real world performance tracking. Mentor junior AI engineers and cross functional teammates, sharing best practices in modelling, coding, maintaining and integrating product features, and helping grow a high trust, high performance team culture. Stay up to date with emerging research and tools, distilling key insights and bringing back relevant innovations to elevate team capabilities and product opportunities. Contribute to a culture of knowledge sharing, through company wide Slack channels, Show and Tell presentations and technical deep dives. What experience you'll need to be successful A master's degree or above in Computer Science, Electrical Engineering or a related field. 5+ years of experience building AI/ML systems in production environments, including ownership of key lifecycle stages: data collection, modeling, evaluation, deployment, and monitoring. Proficiency in Python and modern ML and agentic frameworks such as PyTorch, TensorFlow, or LangChain, with experience packaging models into APIs or integrating them into applications. A solid understanding of LLMs for natural language processing applications, including topics such as embeddings, prompt engineering and fine tuning. Strong software engineering foundations such as version control, unit/integration testing, CI/CD, containerization plus a mindset of building for reliability and scale. Experience working in product focused teams, collaborating with designers, engineers, and PMs, to scope and ship AI features iteratively. Ability to reason about system behavior end to end, including model performance, latency, and observability, and how these impact user experience. Clear, structured communicator, comfortable documenting and defending architectural decisions and engaging in thoughtful technical debate. Not required, but it's a plus if you also have: Experience with MLOps/LLMOps frameworks and best practices A PhD in Computer Science, Electrical Engineering or a related field. A background or work experience in life sciences, health tech, or other data intensive domains Benefits Competitive compensation package Private medical & dental insurance Life insurance (4 x salary) Personal development budget Individual wellbeing budget 25 days holiday plus bank holidays Your birthday off! Potential to have real impact and accelerated career growth as a member of an international team that's building a transformative AI product. We are on a mission to accelerate scientific breakthroughs for ALL humankind, and we are proud to be an equal opportunity employer. We welcome applications from all backgrounds and fairly consider qualified candidates without regard to race, ethnic or national origin, gender, gender identity or expression, sexual orientation, disability, neurodiversity, genetics, age, religion or belief, marital/civil partnership status, domestic / family status, veteran status or any other difference.
25/07/2026
Full time
Founded in 2018, Causaly's AI platform for enterprise scale scientific research redefines the limits of human productivity. We give humans a powerful new way to find, visualize and interpret biomedical knowledge and automate critical research workflows, accelerating solutions for some of the greatest health challenges we face. We work with some of the world's largest biopharma companies and institutions on use cases spanning Drug Discovery, Safety and Competitive Intelligence. You can read more about how we accelerate knowledge acquisition and improve decision making in our blog posts here: Blog - Causaly We are backed by top VCs including ICONIQ, Index Ventures, Pentech and Marathon. About the team We're hiring AI engineers to help us transform research outcomes in biomedical sciences. We utilise generative AI and agents to help scientists find novel connections and insights from biomedical literature and datasets. Delivering a faster research experience is not just a matter of picking the latest LLM model. Getting accurate, scientifically relevant, trustworthy and meaningful results relies on building trust with our users that comes from integrating proper levels of guardrails, biomedical curation, consistent update cycles and robust deployment practices that make our platform a one stop shop for a researcher's needs. We're looking for AI engineers who will champion this cause and help us apply AI to transform the way biomedical professionals carry out their research and day to day exploration. What you'll be doing Design and implement ML/AI solutions end to end, from the idea and data exploration phase to deployment and monitoring, balancing cutting edge techniques with pragmatism to deliver measurable impact. Apply strong software engineering principles, such as modularity, testing, code reviews, CI/CD and observability, to ensure AI systems are reliable, maintainable, production ready and can be readily adapted to future developments. Choose the right approach for the problem at hand, evaluating classical ML and NLP techniques, LLM based solutions, and agentic solutions to balance trade offs between speed, cost, complexity, interpretability, and performance. Collaborate closely with product, design, and other engineering teams to scope work, align on success metrics, and incrementally ship improvements in user facing features powered by AI. Document system architectures and decision rationale early and clearly, enabling alignment across teams and accelerating onboarding and iteration. Champion model and data quality, including dataset versioning, robust evaluation, fairness/bias assessment, and real world performance tracking. Mentor junior AI engineers and cross functional teammates, sharing best practices in modelling, coding, maintaining and integrating product features, and helping grow a high trust, high performance team culture. Stay up to date with emerging research and tools, distilling key insights and bringing back relevant innovations to elevate team capabilities and product opportunities. Contribute to a culture of knowledge sharing, through company wide Slack channels, Show and Tell presentations and technical deep dives. What experience you'll need to be successful A master's degree or above in Computer Science, Electrical Engineering or a related field. 5+ years of experience building AI/ML systems in production environments, including ownership of key lifecycle stages: data collection, modeling, evaluation, deployment, and monitoring. Proficiency in Python and modern ML and agentic frameworks such as PyTorch, TensorFlow, or LangChain, with experience packaging models into APIs or integrating them into applications. A solid understanding of LLMs for natural language processing applications, including topics such as embeddings, prompt engineering and fine tuning. Strong software engineering foundations such as version control, unit/integration testing, CI/CD, containerization plus a mindset of building for reliability and scale. Experience working in product focused teams, collaborating with designers, engineers, and PMs, to scope and ship AI features iteratively. Ability to reason about system behavior end to end, including model performance, latency, and observability, and how these impact user experience. Clear, structured communicator, comfortable documenting and defending architectural decisions and engaging in thoughtful technical debate. Not required, but it's a plus if you also have: Experience with MLOps/LLMOps frameworks and best practices A PhD in Computer Science, Electrical Engineering or a related field. A background or work experience in life sciences, health tech, or other data intensive domains Benefits Competitive compensation package Private medical & dental insurance Life insurance (4 x salary) Personal development budget Individual wellbeing budget 25 days holiday plus bank holidays Your birthday off! Potential to have real impact and accelerated career growth as a member of an international team that's building a transformative AI product. We are on a mission to accelerate scientific breakthroughs for ALL humankind, and we are proud to be an equal opportunity employer. We welcome applications from all backgrounds and fairly consider qualified candidates without regard to race, ethnic or national origin, gender, gender identity or expression, sexual orientation, disability, neurodiversity, genetics, age, religion or belief, marital/civil partnership status, domestic / family status, veteran status or any other difference.
A leading AI research company in Greater London is seeking experienced AI engineers to design and implement innovative ML/AI solutions that transform biomedical research. Candidates should hold a master's degree and have over 5 years of experience in production environments, proficient in Python and modern machine learning frameworks. This role offers competitive compensation and benefits, along with opportunities for significant career growth within a vibrant international team.
25/07/2026
Full time
A leading AI research company in Greater London is seeking experienced AI engineers to design and implement innovative ML/AI solutions that transform biomedical research. Candidates should hold a master's degree and have over 5 years of experience in production environments, proficient in Python and modern machine learning frameworks. This role offers competitive compensation and benefits, along with opportunities for significant career growth within a vibrant international team.
1000 European Molecular Biology Laboratory
Hinxton, Essex
About the role Help shape the future of how millions of researchers discover and interact with biomedical literature by leading UX research and design across Europe PMC's AI powered search initiatives. Europe PMC is a free, open access database of over 40million research articles, abstracts and preprints, used worldwide by researchers, systematic reviewers and developers. Responsibilities Lead user research across diverse audiences-researchers, funders, grant administrators-and translate findings into clear, actionable recommendations. Plan and facilitate workshops with senior internal and external stakeholders. Design AI powered features such as natural language search, ensuring model outputs and limitations are communicated in a way that builds user trust, especially for audiences requiring transparency and reproducibility. Translate research insights into wireframes, prototypes and interaction designs for complex, data heavy products. Run usability testing programmes and use data to validate design decisions. Qualifications Strong research and synthesis skills with confidence presenting to non design audiences. Proficiency in Figma (or equivalent) and experience with Figma design workflows. Experience designing data heavy products such as dashboards, search tools or structured data interfaces. Interest in designing for AI powered features, communicating outputs and limitations to build user trust. Comfortable working embedded in cross functional teams alongside ML/data engineers. Experience engaging senior or external stakeholders. Active development of AI literacy, using AI tools for research synthesis, prototyping or usability analysis, and staying current on AI UX trends. Familiarity with web analytics, basic HTML/CSS and remote testing tools. Benefits & Contract Competitive salary starting at £3,861.91 per month after tax (Grade6). Fixed term 3 year contract (subject to grant funding) with potential extension. Generous benefits package including pension scheme, health insurance and relocation support. On site facilities: free shuttle bus, gym, cafeteria, library, nursery and a relaxed working environment. Hybrid work arrangement and flexible working hours. Commitment to Diversity We encourage applications from candidates of all genders, identities, nationalities, and other diverse backgrounds. Application Process Submit a cover letter and CV through our online system. Applications will close at 23:59 CET on 04/08/2026.
20/07/2026
Full time
About the role Help shape the future of how millions of researchers discover and interact with biomedical literature by leading UX research and design across Europe PMC's AI powered search initiatives. Europe PMC is a free, open access database of over 40million research articles, abstracts and preprints, used worldwide by researchers, systematic reviewers and developers. Responsibilities Lead user research across diverse audiences-researchers, funders, grant administrators-and translate findings into clear, actionable recommendations. Plan and facilitate workshops with senior internal and external stakeholders. Design AI powered features such as natural language search, ensuring model outputs and limitations are communicated in a way that builds user trust, especially for audiences requiring transparency and reproducibility. Translate research insights into wireframes, prototypes and interaction designs for complex, data heavy products. Run usability testing programmes and use data to validate design decisions. Qualifications Strong research and synthesis skills with confidence presenting to non design audiences. Proficiency in Figma (or equivalent) and experience with Figma design workflows. Experience designing data heavy products such as dashboards, search tools or structured data interfaces. Interest in designing for AI powered features, communicating outputs and limitations to build user trust. Comfortable working embedded in cross functional teams alongside ML/data engineers. Experience engaging senior or external stakeholders. Active development of AI literacy, using AI tools for research synthesis, prototyping or usability analysis, and staying current on AI UX trends. Familiarity with web analytics, basic HTML/CSS and remote testing tools. Benefits & Contract Competitive salary starting at £3,861.91 per month after tax (Grade6). Fixed term 3 year contract (subject to grant funding) with potential extension. Generous benefits package including pension scheme, health insurance and relocation support. On site facilities: free shuttle bus, gym, cafeteria, library, nursery and a relaxed working environment. Hybrid work arrangement and flexible working hours. Commitment to Diversity We encourage applications from candidates of all genders, identities, nationalities, and other diverse backgrounds. Application Process Submit a cover letter and CV through our online system. Applications will close at 23:59 CET on 04/08/2026.
About Convatec Convatec is a global medical products and technologies company, focused on solutions for the management of chronic conditions, with leading positions in Advanced Wound Care, Ostomy Care, Continence Care, and Infusion Care. With more than 10,000 colleagues, we provide our products and services in around 90 countries, united by a promise to be forever caring. Our solutions provide a range of benefits, from infection prevention and protection of at risk skin, to improved patient outcomes and reduced care costs. Convatec's revenues in 2024 were over $2 billion. Position Overview The Senior Manager of Biocompatibility leads a team of biocompatibility specialists in delivering biological evaluations in line with ISO 10993 standards or the equivalent from regulated markets globally across our four categories (Ostomy Care, Infusion Care, Advanced Wound Care and Continence Care). The biocompatibility team supports New Product Development (NPD) and Lifecycle Management (LCM) projects, and consults on early stage developments, as well. Biocompatibility is an integrated part of project teams and has a critical role in delivering timely and effectively biological evaluations for new products and in evaluating changes to existing products. The team also partners closely with the Regulatory and Medical/Clinical teams. Fostering effective collaboration is a critical part of the role. The Senior Manager of Biocompatibility is responsible for coaching and developing the team to maintain up to date knowledge of global medical device standards and regulations as well as keep abreast of the state of the art within the field. Key Responsibilities Manage and develop the biocompatibility team - manage and allocate resources in line with project needs and priorities Identify training opportunities for the team towards continuous improvement Ensure seamless and proactive collaboration with the project teams Synthesise a development plan with each team member Ensure the team has up to date knowledge of biocompatibility standards, techniques and protocols Instil a positive working culture of collaboration in line with Convatec's values and leadership behaviors Deliver on biocompatibility for NPD, LCM and research projects Foster cross functional collaboration and teamwork between the biocompatibility team, the business units, project teams, regulatory and clinical teams Lead on accurate project planning and timely execution in partnership with project teams to keep biocompatibility activities visible and integrated into overall project plans Work closely with program/project cross functional teams to provide biocompatibility deliverables in compliance with global regulatory requirements Evaluate and execute biocompatibility studies in support of programs dealing with our medical devices, applying a creative approach to problem solving and detailed knowledge of ISO standard testing Identify, obtain stakeholder buy in and implement continuous process improvements and learning Demonstrate commitment to the Convatec values and lead a culture that implements these values alongside our high performance team principles Address roadblocks by assuming positive intentions of others and take accountability for finding solutions Support biological hazards risk analysis activities Analyse, interpret and draw conclusions from biocompatibility testing, including extractable and leachable chemical characterization and biological evaluations Deliver to company quality metrics (CAPA, NC, IA, etc.) Skills & Experience 10+ years of experience in biocompatibility assessments for NPDs and LCMs in territories including Europe and USA Experience with complex FDA submissions and dealing with FDA queries and feedback is essential 10+ years industrial experience in the field of Medical Device, Pharmaceutical or Biotechnology with expertise in biocompatibility, toxicology, related principles and industry standards Qualifications / Education BSc or higher degree in Biomedical Engineering, Bioengineering, Biology (Biological Sciences), Molecular Cell Biology, Biochemistry, Microbiology or Toxicology Advanced degree (MS or PhD) in these fields preferred Team 6 direct reports. Travel Requirements The position may involve travel around 25% of the time, mostly within Europe but overseas travel is expected. Most trips will include overnight travel. Working Conditions Remote working from home with presence in the office on a weekly or monthly basis driven by business requirements. Special Factors May need to support global discussions in different time zones. Equal Opportunities Convatec provides equal employment opportunities for all current employees and applicants for employment. This policy means that no one will be discriminated against because of race, religion, creed, color, national origin, nationality, citizenship, ancestry, sex, age, marital status, physical or mental disability, affectional or sexual orientation, gender identity, military or veteran status, genetic predisposing characteristics or any other basis prohibited by law.
15/07/2026
Full time
About Convatec Convatec is a global medical products and technologies company, focused on solutions for the management of chronic conditions, with leading positions in Advanced Wound Care, Ostomy Care, Continence Care, and Infusion Care. With more than 10,000 colleagues, we provide our products and services in around 90 countries, united by a promise to be forever caring. Our solutions provide a range of benefits, from infection prevention and protection of at risk skin, to improved patient outcomes and reduced care costs. Convatec's revenues in 2024 were over $2 billion. Position Overview The Senior Manager of Biocompatibility leads a team of biocompatibility specialists in delivering biological evaluations in line with ISO 10993 standards or the equivalent from regulated markets globally across our four categories (Ostomy Care, Infusion Care, Advanced Wound Care and Continence Care). The biocompatibility team supports New Product Development (NPD) and Lifecycle Management (LCM) projects, and consults on early stage developments, as well. Biocompatibility is an integrated part of project teams and has a critical role in delivering timely and effectively biological evaluations for new products and in evaluating changes to existing products. The team also partners closely with the Regulatory and Medical/Clinical teams. Fostering effective collaboration is a critical part of the role. The Senior Manager of Biocompatibility is responsible for coaching and developing the team to maintain up to date knowledge of global medical device standards and regulations as well as keep abreast of the state of the art within the field. Key Responsibilities Manage and develop the biocompatibility team - manage and allocate resources in line with project needs and priorities Identify training opportunities for the team towards continuous improvement Ensure seamless and proactive collaboration with the project teams Synthesise a development plan with each team member Ensure the team has up to date knowledge of biocompatibility standards, techniques and protocols Instil a positive working culture of collaboration in line with Convatec's values and leadership behaviors Deliver on biocompatibility for NPD, LCM and research projects Foster cross functional collaboration and teamwork between the biocompatibility team, the business units, project teams, regulatory and clinical teams Lead on accurate project planning and timely execution in partnership with project teams to keep biocompatibility activities visible and integrated into overall project plans Work closely with program/project cross functional teams to provide biocompatibility deliverables in compliance with global regulatory requirements Evaluate and execute biocompatibility studies in support of programs dealing with our medical devices, applying a creative approach to problem solving and detailed knowledge of ISO standard testing Identify, obtain stakeholder buy in and implement continuous process improvements and learning Demonstrate commitment to the Convatec values and lead a culture that implements these values alongside our high performance team principles Address roadblocks by assuming positive intentions of others and take accountability for finding solutions Support biological hazards risk analysis activities Analyse, interpret and draw conclusions from biocompatibility testing, including extractable and leachable chemical characterization and biological evaluations Deliver to company quality metrics (CAPA, NC, IA, etc.) Skills & Experience 10+ years of experience in biocompatibility assessments for NPDs and LCMs in territories including Europe and USA Experience with complex FDA submissions and dealing with FDA queries and feedback is essential 10+ years industrial experience in the field of Medical Device, Pharmaceutical or Biotechnology with expertise in biocompatibility, toxicology, related principles and industry standards Qualifications / Education BSc or higher degree in Biomedical Engineering, Bioengineering, Biology (Biological Sciences), Molecular Cell Biology, Biochemistry, Microbiology or Toxicology Advanced degree (MS or PhD) in these fields preferred Team 6 direct reports. Travel Requirements The position may involve travel around 25% of the time, mostly within Europe but overseas travel is expected. Most trips will include overnight travel. Working Conditions Remote working from home with presence in the office on a weekly or monthly basis driven by business requirements. Special Factors May need to support global discussions in different time zones. Equal Opportunities Convatec provides equal employment opportunities for all current employees and applicants for employment. This policy means that no one will be discriminated against because of race, religion, creed, color, national origin, nationality, citizenship, ancestry, sex, age, marital status, physical or mental disability, affectional or sexual orientation, gender identity, military or veteran status, genetic predisposing characteristics or any other basis prohibited by law.
AI Consultant - Principal page is loaded AI Consultant - Principallocations: London, United Kingdom: Paris, Francetime type: Full timeposted on: Posted Todayjob requisition id: R Join a Ground Breaking AI Initiative at IQVIA IQVIA is building a world class team to develop large scale AI solutions using cutting edge machine learning architectures. Our mission is to integrate data across clinical, real world, and biomedical sources to unlock new insights into patient trajectories-and transform how we understand and anticipate health outcomes. About the Role We are seeking a Director or Principal level Consultant to lead the selling and delivery of cutting edge AI projects in the Life Sciences R&D space, with a key focus on Clinical Development Optimization.This high impact, client facing role requires someone who can craft strategic AI roadmaps while also guiding technical solution delivery alongside data scientists and engineers. You will play a pivotal role in shaping a new practice, growing a team, and influencing the future of AI in Pharma R&D. Key Responsibilities Client Engagement & Business Development Lead the full sales cycle: opportunity identification, proposals, client presentations, and deal closure. Act as a trusted advisor to senior stakeholders across Pharma and Life Sciences. Identify and cultivate new opportunities across Clinical R&D. Sell first in class AI solutions, including offerings still in development that require co creation with clients. Develop compelling narratives around IQVIA's newest AI solutions and systems. Project Leadership & Delivery Design and oversee delivery of AI/ML projects involving clinical development simulation, RWD, trial data, omics, and other structured/unstructured sources. Manage cross functional teams to ensure high quality, on time delivery and client satisfaction. Support development of next generation foundation model initiatives. Design, develop, deploy, and evangelize scalable, high performance AI solutions using state of the art platforms. Lead multidisciplinary teams combining industry, technical, and functional expertise. Guide development of AI strategy roadmaps, PoCs, ML pipelines, and deployment strategies. Collaborate with external technology partners for successful delivery. Practice Building Shape and scale a new AI Life Sciences practice, including defining offerings and mentoring new team members. Contribute to thought leadership (white papers, conferences, workshops). Foster an agile, innovative, impact driven team culture. Ideal Candidate Profile Must Haves 5-10+ years in Consulting with focus on AI, Data Science, or Digital Transformation. Experience in both business development and delivery of complex AI/ML projects. Strong understanding of AI/ML techniques (supervised, unsupervised, generative AI, LLMs, agentic AI). Domain expertise in Life Sciences-ideally Pharma R&D, Clinical Trials, or Clinical Operations. Demonstrated ability to manage senior client relationships as a strategic advisor. Leadership experience managing consultants, data scientists, and technical teams. Proven ability to conceive, sell, and deliver novel solutions. Strong drive, ownership, and execution mindset. Nice to Haves Experience at a top tier consulting firm. Understanding of regulatory and governance frameworks (HIPAA, 21 CFR Part 11). Exposure to RWE, biomarker discovery, or trial optimization. Experience with agentic AI or LLM orchestration in Life Sciences. Familiarity with platforms such as AWS, Azure ML, Databricks, foundation model platforms (e.g., ChatGPT, Claude), or modern code/AI tooling. What We're Looking For Polymath mindset: Ability to combine strategy, technical depth, and stakeholder influence. Entrepreneurial drive: Motivation to build a new capability, team, and practice. Creative problem solver: Ability to execute under ambiguity with a "jugaad" spirit. Mission orientation: A genuine desire to transform how medicines are discovered and developed. What We Offer Opportunity to lead and shape a high growth business unit at the forefront of AI in Life Sciences. Autonomy, flexibility, and strong support for innovation. A mission driven team passionate about transforming healthcare through AI.IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more atIQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
12/07/2026
Full time
AI Consultant - Principal page is loaded AI Consultant - Principallocations: London, United Kingdom: Paris, Francetime type: Full timeposted on: Posted Todayjob requisition id: R Join a Ground Breaking AI Initiative at IQVIA IQVIA is building a world class team to develop large scale AI solutions using cutting edge machine learning architectures. Our mission is to integrate data across clinical, real world, and biomedical sources to unlock new insights into patient trajectories-and transform how we understand and anticipate health outcomes. About the Role We are seeking a Director or Principal level Consultant to lead the selling and delivery of cutting edge AI projects in the Life Sciences R&D space, with a key focus on Clinical Development Optimization.This high impact, client facing role requires someone who can craft strategic AI roadmaps while also guiding technical solution delivery alongside data scientists and engineers. You will play a pivotal role in shaping a new practice, growing a team, and influencing the future of AI in Pharma R&D. Key Responsibilities Client Engagement & Business Development Lead the full sales cycle: opportunity identification, proposals, client presentations, and deal closure. Act as a trusted advisor to senior stakeholders across Pharma and Life Sciences. Identify and cultivate new opportunities across Clinical R&D. Sell first in class AI solutions, including offerings still in development that require co creation with clients. Develop compelling narratives around IQVIA's newest AI solutions and systems. Project Leadership & Delivery Design and oversee delivery of AI/ML projects involving clinical development simulation, RWD, trial data, omics, and other structured/unstructured sources. Manage cross functional teams to ensure high quality, on time delivery and client satisfaction. Support development of next generation foundation model initiatives. Design, develop, deploy, and evangelize scalable, high performance AI solutions using state of the art platforms. Lead multidisciplinary teams combining industry, technical, and functional expertise. Guide development of AI strategy roadmaps, PoCs, ML pipelines, and deployment strategies. Collaborate with external technology partners for successful delivery. Practice Building Shape and scale a new AI Life Sciences practice, including defining offerings and mentoring new team members. Contribute to thought leadership (white papers, conferences, workshops). Foster an agile, innovative, impact driven team culture. Ideal Candidate Profile Must Haves 5-10+ years in Consulting with focus on AI, Data Science, or Digital Transformation. Experience in both business development and delivery of complex AI/ML projects. Strong understanding of AI/ML techniques (supervised, unsupervised, generative AI, LLMs, agentic AI). Domain expertise in Life Sciences-ideally Pharma R&D, Clinical Trials, or Clinical Operations. Demonstrated ability to manage senior client relationships as a strategic advisor. Leadership experience managing consultants, data scientists, and technical teams. Proven ability to conceive, sell, and deliver novel solutions. Strong drive, ownership, and execution mindset. Nice to Haves Experience at a top tier consulting firm. Understanding of regulatory and governance frameworks (HIPAA, 21 CFR Part 11). Exposure to RWE, biomarker discovery, or trial optimization. Experience with agentic AI or LLM orchestration in Life Sciences. Familiarity with platforms such as AWS, Azure ML, Databricks, foundation model platforms (e.g., ChatGPT, Claude), or modern code/AI tooling. What We're Looking For Polymath mindset: Ability to combine strategy, technical depth, and stakeholder influence. Entrepreneurial drive: Motivation to build a new capability, team, and practice. Creative problem solver: Ability to execute under ambiguity with a "jugaad" spirit. Mission orientation: A genuine desire to transform how medicines are discovered and developed. What We Offer Opportunity to lead and shape a high growth business unit at the forefront of AI in Life Sciences. Autonomy, flexibility, and strong support for innovation. A mission driven team passionate about transforming healthcare through AI.IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more atIQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
Do you want to apply data science to one of the most important challenges in health research: enabling safe use of sensitive data at scale? In this role, you'll develop privacy and security controls that protect participants while helping researchers generate insights faster and more safely. Our Future Health is an ambitious collaboration between the public, charity and private sectors, designed to help people live healthier lives for longer through better prevention, earlier detection and improved treatment of diseases. We will speed up the discovery of new methods of early disease detection, and the evaluation of new diagnostic tools, to help identify and treat diseases early, when outcomes are usually better. With over 2.5M volunteers across the UK, we're now the world's biggest health research programme of its kind, and our volunteer group is also more diverse than other, similar health research programmes. Technology and data are central to our mission. Our systems power web sites, clinics across the UK, secure analytics and research systems, pipelines that process highly sensitive health and genetic data, and we are continuing to grow our data science capability to support this ambition. To realise our ambition safely, we need to continue developing world-class approaches to data privacy, data security and responsible access to health data. We are looking for a Senior Data Scientist specialising in privacy, security and risk modelling, to help design, build and scale data driven controls that protect participants while enabling cutting edge research. This is a hands on role where you'll apply strong data science skills and an engineering mindset to real operational problems: safe outputs review, re identification risk, privacy risks in trained models, synthetic data, and data driven security controls. You will work closely with teams across Product, Security, Engineering, Science, Data Protection, and Researcher Operations as well as external experts to develop practical, scalable and evidence based solutions. You will be expected to work closely with users of these systems including researchers, Airlock reviewers, access governance reviewers and security specialists, to understand their workflows, pain points and risk decisions. A key part of the role will be turning complex privacy and security problems into trusted algorithms, evidence and automated support. What you'll do Develop data driven approaches to disclosure control and safe outputs review, supporting the scaling of our TRE (Trusted Research Environment) Airlock. This may include building algorithms and automated review tools to classify outputs, detect potentially disclosive content, identify patterns of risk, and provide explainable decision support for human reviewers. Work directly with Airlock reviewers and operational users to understand where automation can help, where human judgement is essential, and how tools should be designed to support consistent, auditable and proportionate decisions. Contribute to our approach to de identification and re identification risk assessment, helping us assess how privacy risk changes across datasets, access models and analytical outputs. Help us develop our approaches to safe AI using health data, including how we assess and manage privacy risks associated with trained models. Explore and develop approaches to synthetic data generation, assessing how synthetic data can be used safely and usefully, and how to evaluate the privacy, fidelity and utility trade offs of different approaches. Collaborate with our Information Security team on data driven security control assessment, threat detection and monitoring approaches, including identifying signals of risky behaviour, anomalous activity or misuse of data access environments, and cyber risk quantification. Build prototypes and production quality code, working with engineers to turn promising approaches into robust, maintainable and auditable tools. Work closely with governance, legal, ethics and operational colleagues to ensure technical controls fulfil their requirements. Keep up with emerging methods in statistical disclosure control, privacy enhancing technologies, AI security, synthetic data, de identification and privacy preserving computation. This role will be fully hybrid with the expectation we get together in our Holborn, London office at least once per month. We welcome applications from all who may not feel they match the full criteria, so if you have most of the below, we'd like to hear from you: Significant experience applying data science, machine learning, statistical modelling or advanced analytics to complex real world datasets. Strong applied statistical expertise, including the ability to quantify risk and uncertainty, evaluate assumptions, design validation approaches, interpret imperfect or incomplete evidence, and communicate the limitations of statistical or machine learning models. Strong Python skills and experience writing maintainable, production quality code. Experience working in cross functional teams with software engineers, data engineers or platform teams to design and deliver data products, pipelines, analytical services or decision support tools. A user focused approach to technical delivery: you are comfortable working with people who operate, review, govern or depend on data systems, and can translate their needs into technical requirements. Applied machine learning experience and understanding of common privacy attacks against data and models, such as memorisation, membership inference, attribute inference, model inversion or leakage through model outputs. Exposure to privacy preserving machine learning, privacy enhancing technologies or adjacent research areas (e.g. federated learning, secure aggregation, differential privacy, or confidential computing) Experience working with sensitive, confidential or regulated data and a strong understanding of privacy, confidentiality or information security risks. Ability to translate ambiguous operational, governance or security problems into clear data science questions and practical technical requirements. Good communication skills, with the ability to explain complex technical concepts to non specialist stakeholders. A pragmatic, delivery focused mindset It would be a bonus if you have any of the following experience - Working with health data or biomedical research data, electronic health records, and ideally genomic data. Developing models, algorithms or rule based systems that support human decision making, ideally where explainability, auditability and risk management are important. Anomaly detection, behavioural analytics, security monitoring or detection engineering. Risk quantification methods from fields such as actuarial science, epidemiology, operational research, or cyber risk. Familiarity with UK data protection, research governance or health data access expectations. Experience with PETs or privacy preserving ML frameworks such as Flower, Opacus, TensorFlow Federated or similar. Cloud platforms, containerisation, CI/CD, MLOps or production ML systems. Experience evaluating synthetic data using both utility and privacy metrics. Hiring Process We feel hiring should be transparent and give you a real sense for what Our Future Health is like. Here's what you can expect: Initial chat with our Talent team (30 min) to get to know each other, discuss the role, and answer any questions you have. 1st interview with our Head of Data Operations (25 min) - this is an opportunity to meet your potential line manager and for you both to align on role expectations. Technical interview with 2-3 members from our tech and data teams (60 min). This will include a short task you'll need to prepare in advance of the interview and is designed to get a sense for how you'd approach the real world responsibilities of this role. Final stage competency interview (60 min) with a small cross functional panel of your potential new stakeholders. This will focus on how you collaborate, work with stakeholders, and navigate ambiguity and challenges in real world projects. Competitive base salary from £80,000 Generous Pension Scheme - We invest in your future with employer contributions of up to 12% 30 Days Holiday pro rata + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you Enhanced Parental Leave - Supporting you during life's biggest moments Cycle to Work Scheme - Save 25-39% on a new bike and accessories through salary sacrifice Home & Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice EV Scheme - Save up to 40% on a brand new electric vehicle all-inclusive package through salary sacrifice £1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board! Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements Join us - let's prevent disease together. We recommend you apply as soon as possible as occasionally due to high volumes of applications, we need to close our postings early. At Our Future Health . click apply for full job details
12/07/2026
Full time
Do you want to apply data science to one of the most important challenges in health research: enabling safe use of sensitive data at scale? In this role, you'll develop privacy and security controls that protect participants while helping researchers generate insights faster and more safely. Our Future Health is an ambitious collaboration between the public, charity and private sectors, designed to help people live healthier lives for longer through better prevention, earlier detection and improved treatment of diseases. We will speed up the discovery of new methods of early disease detection, and the evaluation of new diagnostic tools, to help identify and treat diseases early, when outcomes are usually better. With over 2.5M volunteers across the UK, we're now the world's biggest health research programme of its kind, and our volunteer group is also more diverse than other, similar health research programmes. Technology and data are central to our mission. Our systems power web sites, clinics across the UK, secure analytics and research systems, pipelines that process highly sensitive health and genetic data, and we are continuing to grow our data science capability to support this ambition. To realise our ambition safely, we need to continue developing world-class approaches to data privacy, data security and responsible access to health data. We are looking for a Senior Data Scientist specialising in privacy, security and risk modelling, to help design, build and scale data driven controls that protect participants while enabling cutting edge research. This is a hands on role where you'll apply strong data science skills and an engineering mindset to real operational problems: safe outputs review, re identification risk, privacy risks in trained models, synthetic data, and data driven security controls. You will work closely with teams across Product, Security, Engineering, Science, Data Protection, and Researcher Operations as well as external experts to develop practical, scalable and evidence based solutions. You will be expected to work closely with users of these systems including researchers, Airlock reviewers, access governance reviewers and security specialists, to understand their workflows, pain points and risk decisions. A key part of the role will be turning complex privacy and security problems into trusted algorithms, evidence and automated support. What you'll do Develop data driven approaches to disclosure control and safe outputs review, supporting the scaling of our TRE (Trusted Research Environment) Airlock. This may include building algorithms and automated review tools to classify outputs, detect potentially disclosive content, identify patterns of risk, and provide explainable decision support for human reviewers. Work directly with Airlock reviewers and operational users to understand where automation can help, where human judgement is essential, and how tools should be designed to support consistent, auditable and proportionate decisions. Contribute to our approach to de identification and re identification risk assessment, helping us assess how privacy risk changes across datasets, access models and analytical outputs. Help us develop our approaches to safe AI using health data, including how we assess and manage privacy risks associated with trained models. Explore and develop approaches to synthetic data generation, assessing how synthetic data can be used safely and usefully, and how to evaluate the privacy, fidelity and utility trade offs of different approaches. Collaborate with our Information Security team on data driven security control assessment, threat detection and monitoring approaches, including identifying signals of risky behaviour, anomalous activity or misuse of data access environments, and cyber risk quantification. Build prototypes and production quality code, working with engineers to turn promising approaches into robust, maintainable and auditable tools. Work closely with governance, legal, ethics and operational colleagues to ensure technical controls fulfil their requirements. Keep up with emerging methods in statistical disclosure control, privacy enhancing technologies, AI security, synthetic data, de identification and privacy preserving computation. This role will be fully hybrid with the expectation we get together in our Holborn, London office at least once per month. We welcome applications from all who may not feel they match the full criteria, so if you have most of the below, we'd like to hear from you: Significant experience applying data science, machine learning, statistical modelling or advanced analytics to complex real world datasets. Strong applied statistical expertise, including the ability to quantify risk and uncertainty, evaluate assumptions, design validation approaches, interpret imperfect or incomplete evidence, and communicate the limitations of statistical or machine learning models. Strong Python skills and experience writing maintainable, production quality code. Experience working in cross functional teams with software engineers, data engineers or platform teams to design and deliver data products, pipelines, analytical services or decision support tools. A user focused approach to technical delivery: you are comfortable working with people who operate, review, govern or depend on data systems, and can translate their needs into technical requirements. Applied machine learning experience and understanding of common privacy attacks against data and models, such as memorisation, membership inference, attribute inference, model inversion or leakage through model outputs. Exposure to privacy preserving machine learning, privacy enhancing technologies or adjacent research areas (e.g. federated learning, secure aggregation, differential privacy, or confidential computing) Experience working with sensitive, confidential or regulated data and a strong understanding of privacy, confidentiality or information security risks. Ability to translate ambiguous operational, governance or security problems into clear data science questions and practical technical requirements. Good communication skills, with the ability to explain complex technical concepts to non specialist stakeholders. A pragmatic, delivery focused mindset It would be a bonus if you have any of the following experience - Working with health data or biomedical research data, electronic health records, and ideally genomic data. Developing models, algorithms or rule based systems that support human decision making, ideally where explainability, auditability and risk management are important. Anomaly detection, behavioural analytics, security monitoring or detection engineering. Risk quantification methods from fields such as actuarial science, epidemiology, operational research, or cyber risk. Familiarity with UK data protection, research governance or health data access expectations. Experience with PETs or privacy preserving ML frameworks such as Flower, Opacus, TensorFlow Federated or similar. Cloud platforms, containerisation, CI/CD, MLOps or production ML systems. Experience evaluating synthetic data using both utility and privacy metrics. Hiring Process We feel hiring should be transparent and give you a real sense for what Our Future Health is like. Here's what you can expect: Initial chat with our Talent team (30 min) to get to know each other, discuss the role, and answer any questions you have. 1st interview with our Head of Data Operations (25 min) - this is an opportunity to meet your potential line manager and for you both to align on role expectations. Technical interview with 2-3 members from our tech and data teams (60 min). This will include a short task you'll need to prepare in advance of the interview and is designed to get a sense for how you'd approach the real world responsibilities of this role. Final stage competency interview (60 min) with a small cross functional panel of your potential new stakeholders. This will focus on how you collaborate, work with stakeholders, and navigate ambiguity and challenges in real world projects. Competitive base salary from £80,000 Generous Pension Scheme - We invest in your future with employer contributions of up to 12% 30 Days Holiday pro rata + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you Enhanced Parental Leave - Supporting you during life's biggest moments Cycle to Work Scheme - Save 25-39% on a new bike and accessories through salary sacrifice Home & Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice EV Scheme - Save up to 40% on a brand new electric vehicle all-inclusive package through salary sacrifice £1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board! Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements Join us - let's prevent disease together. We recommend you apply as soon as possible as occasionally due to high volumes of applications, we need to close our postings early. At Our Future Health . click apply for full job details
Overview Do you want to apply data science to one of the most important challenges in health research: enabling safe use of sensitive data at scale? In this role, you'll develop privacy and security controls that protect participants while helping researchers generate insights faster and more safely. Our Future Health is an ambitious collaboration between the public, charity and private sectors, designed to help people live healthier lives for longer through better prevention, earlier detection and improved treatment of diseases. We will speed up the discovery of new methods of early disease detection, and the evaluation of new diagnostic tools, to help identify and treat diseases early, when outcomes are usually better. With over 2.5M volunteers across the UK, we're now the world's biggest health research programme of its kind, and our volunteer group is also more diverse than other, similar health research programmes. Technology and data are central to our mission. Our systems power websites, clinics across the UK, secure analytics and research systems, pipelines that process highly sensitive health and genetic data, and we are continuing to grow our data science capability to support this ambition. To realise our ambition safely, we need to continue developing world-class approaches to data privacy, data security and responsible access to health data. We are looking for a Senior Data Scientist specialising in privacy, security and risk modelling, to help design, build and scale data-driven controls that protect participants while enabling cutting-edge research. What you'll do Develop data-driven approaches to disclosure control and safe outputs review, supporting the scaling of our TRE (Trusted Research Environment) Airlock. This may include building algorithms and automated review tools to classify outputs, detect potentially disclosive content, identify patterns of risk, and provide explainable decision support for human reviewers. Work directly with Airlock reviewers and operational users to understand where automation can help, where human judgement is essential, and how tools should be designed to support consistent, auditable and proportionate decisions. Contribute to our approach to de-identification and re-identification risk assessment, helping us assess how privacy risk changes across datasets, access models and analytical outputs. Help us develop our approaches to safe AI using health data, including how we assess and manage privacy risks associated with trained models. Explore and develop approaches to synthetic data generation, assessing how synthetic data can be used safely and usefully, and how to evaluate the privacy, fidelity and utility trade-offs of different approaches. Collaborate with our Information Security team on data-driven security control assessment, threat detection and monitoring approaches, including identifying signals of risky behaviour, anomalous activity or misuse of data access environments, and cyber risk quantification. Build prototypes and production-quality code, working with engineers to turn promising approaches into robust, maintainable and auditable tools. Work closely with governance, legal, ethics and operational colleagues to ensure technical controls fulfil their requirements. Keep up with emerging methods in statistical disclosure control, privacy-enhancing technologies, AI security, synthetic data, de-identification and privacy-preserving computation. This role will be fully hybrid with the expectation we get together in our Holborn, London office at least once per month. Eligibility and qualifications We welcome applications from all who may not feel they match the full criteria, so if you have most of the below, we'd like to hear from you: Significant experience applying data science, machine learning, statistical modelling or advanced analytics to complex real-world datasets. Strong applied statistical expertise, including the ability to quantify risk and uncertainty, evaluate assumptions, design validation approaches, interpret imperfect or incomplete evidence, and communicate the limitations of statistical or machine learning models. Strong Python skills and experience writing maintainable, production-quality code. Experience working in cross-functional teams with software engineers, data engineers or platform teams to design and deliver data products, pipelines, analytical services or decision-support tools. A user-focused approach to technical delivery: you are comfortable working with people who operate, review, govern or depend on data systems, and can translate their needs into technical requirements. Applied machine learning experience and understanding of common privacy attacks against data and models, such as memorisation, membership inference, attribute inference, model inversion or leakage through model outputs. Exposure to privacy-preserving machine learning, privacy-enhancing technologies or adjacent research areas (e.g. federated learning, secure aggregation, differential privacy, or confidential computing) Experience working with sensitive, confidential or regulated data and a strong understanding of privacy, confidentiality or information security risks. Ability to translate ambiguous operational, governance or security problems into clear data science questions and practical technical requirements. Good communication skills, with the ability to explain complex technical concepts to non-specialist stakeholders. A pragmatic, delivery-focused mindset It would be a bonus if you have any of the following experience: Working with health data or biomedical research data, electronic health records, and ideally genomic data. Developing models, algorithms or rule-based systems that support human decision-making, ideally where explainability, auditability and risk management are important. Anomaly detection, behavioural analytics, security monitoring or detection engineering. Risk quantification methods from fields such as actuarial science, epidemiology, operational research, or cyber risk. Familiarity with UK data protection, research governance or health data access expectations. Experience with PETs or privacy-preserving ML frameworks such as Flower, Opacus, TensorFlow Federated or similar. Cloud platforms, containerisation, CI/CD, MLOps or production ML systems. Experience evaluating synthetic data using both utility and privacy metrics. Hiring Process We feel hiring should be transparent and give you a real sense for what Our Future Health is like. Here's what you can expect: Initial chat with our Talent team (30 min) to get to know each other, discuss the role, and answer any questions you have. 1st interview with our Head of Data Operations (25 min) - this is an opportunity to meet your potential line manager and for you both to align on role expectations. Technical interview with 2-3 members from our tech and data teams (60 min). This will include a short task you'll need to prepare in advance of the interview and is designed to get a sense for how you'd approach the real-world responsibilities of this role. Final stage competency interview (60 min) with a small cross-functional panel of your potential new stakeholders. This will focus on how you collaborate, work with stakeholders, and navigate ambiguity and challenges in real-world projects. Competitive base salary from £80,000 Generous Pension Scheme - We invest in your future with employer contributions of up to 12% 30 Days Holiday pro rata + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you Enhanced Parental Leave - Supporting you during life's biggest moments Cycle to Work Scheme - Save 25-39% on a new bike and accessories through salary sacrifice Home & Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice EV Scheme - Save up to 40% on a brand new electric vehicle all-inclusive package through salary sacrifice £1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board! Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements Join us - let's prevent disease together. We recommend you apply as soon as possible as occasionally due to high volumes of applications, we need to close our postings early. At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long-term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you require any reasonable adjustments, please email us at
11/07/2026
Full time
Overview Do you want to apply data science to one of the most important challenges in health research: enabling safe use of sensitive data at scale? In this role, you'll develop privacy and security controls that protect participants while helping researchers generate insights faster and more safely. Our Future Health is an ambitious collaboration between the public, charity and private sectors, designed to help people live healthier lives for longer through better prevention, earlier detection and improved treatment of diseases. We will speed up the discovery of new methods of early disease detection, and the evaluation of new diagnostic tools, to help identify and treat diseases early, when outcomes are usually better. With over 2.5M volunteers across the UK, we're now the world's biggest health research programme of its kind, and our volunteer group is also more diverse than other, similar health research programmes. Technology and data are central to our mission. Our systems power websites, clinics across the UK, secure analytics and research systems, pipelines that process highly sensitive health and genetic data, and we are continuing to grow our data science capability to support this ambition. To realise our ambition safely, we need to continue developing world-class approaches to data privacy, data security and responsible access to health data. We are looking for a Senior Data Scientist specialising in privacy, security and risk modelling, to help design, build and scale data-driven controls that protect participants while enabling cutting-edge research. What you'll do Develop data-driven approaches to disclosure control and safe outputs review, supporting the scaling of our TRE (Trusted Research Environment) Airlock. This may include building algorithms and automated review tools to classify outputs, detect potentially disclosive content, identify patterns of risk, and provide explainable decision support for human reviewers. Work directly with Airlock reviewers and operational users to understand where automation can help, where human judgement is essential, and how tools should be designed to support consistent, auditable and proportionate decisions. Contribute to our approach to de-identification and re-identification risk assessment, helping us assess how privacy risk changes across datasets, access models and analytical outputs. Help us develop our approaches to safe AI using health data, including how we assess and manage privacy risks associated with trained models. Explore and develop approaches to synthetic data generation, assessing how synthetic data can be used safely and usefully, and how to evaluate the privacy, fidelity and utility trade-offs of different approaches. Collaborate with our Information Security team on data-driven security control assessment, threat detection and monitoring approaches, including identifying signals of risky behaviour, anomalous activity or misuse of data access environments, and cyber risk quantification. Build prototypes and production-quality code, working with engineers to turn promising approaches into robust, maintainable and auditable tools. Work closely with governance, legal, ethics and operational colleagues to ensure technical controls fulfil their requirements. Keep up with emerging methods in statistical disclosure control, privacy-enhancing technologies, AI security, synthetic data, de-identification and privacy-preserving computation. This role will be fully hybrid with the expectation we get together in our Holborn, London office at least once per month. Eligibility and qualifications We welcome applications from all who may not feel they match the full criteria, so if you have most of the below, we'd like to hear from you: Significant experience applying data science, machine learning, statistical modelling or advanced analytics to complex real-world datasets. Strong applied statistical expertise, including the ability to quantify risk and uncertainty, evaluate assumptions, design validation approaches, interpret imperfect or incomplete evidence, and communicate the limitations of statistical or machine learning models. Strong Python skills and experience writing maintainable, production-quality code. Experience working in cross-functional teams with software engineers, data engineers or platform teams to design and deliver data products, pipelines, analytical services or decision-support tools. A user-focused approach to technical delivery: you are comfortable working with people who operate, review, govern or depend on data systems, and can translate their needs into technical requirements. Applied machine learning experience and understanding of common privacy attacks against data and models, such as memorisation, membership inference, attribute inference, model inversion or leakage through model outputs. Exposure to privacy-preserving machine learning, privacy-enhancing technologies or adjacent research areas (e.g. federated learning, secure aggregation, differential privacy, or confidential computing) Experience working with sensitive, confidential or regulated data and a strong understanding of privacy, confidentiality or information security risks. Ability to translate ambiguous operational, governance or security problems into clear data science questions and practical technical requirements. Good communication skills, with the ability to explain complex technical concepts to non-specialist stakeholders. A pragmatic, delivery-focused mindset It would be a bonus if you have any of the following experience: Working with health data or biomedical research data, electronic health records, and ideally genomic data. Developing models, algorithms or rule-based systems that support human decision-making, ideally where explainability, auditability and risk management are important. Anomaly detection, behavioural analytics, security monitoring or detection engineering. Risk quantification methods from fields such as actuarial science, epidemiology, operational research, or cyber risk. Familiarity with UK data protection, research governance or health data access expectations. Experience with PETs or privacy-preserving ML frameworks such as Flower, Opacus, TensorFlow Federated or similar. Cloud platforms, containerisation, CI/CD, MLOps or production ML systems. Experience evaluating synthetic data using both utility and privacy metrics. Hiring Process We feel hiring should be transparent and give you a real sense for what Our Future Health is like. Here's what you can expect: Initial chat with our Talent team (30 min) to get to know each other, discuss the role, and answer any questions you have. 1st interview with our Head of Data Operations (25 min) - this is an opportunity to meet your potential line manager and for you both to align on role expectations. Technical interview with 2-3 members from our tech and data teams (60 min). This will include a short task you'll need to prepare in advance of the interview and is designed to get a sense for how you'd approach the real-world responsibilities of this role. Final stage competency interview (60 min) with a small cross-functional panel of your potential new stakeholders. This will focus on how you collaborate, work with stakeholders, and navigate ambiguity and challenges in real-world projects. Competitive base salary from £80,000 Generous Pension Scheme - We invest in your future with employer contributions of up to 12% 30 Days Holiday pro rata + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you Enhanced Parental Leave - Supporting you during life's biggest moments Cycle to Work Scheme - Save 25-39% on a new bike and accessories through salary sacrifice Home & Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice EV Scheme - Save up to 40% on a brand new electric vehicle all-inclusive package through salary sacrifice £1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board! Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements Join us - let's prevent disease together. We recommend you apply as soon as possible as occasionally due to high volumes of applications, we need to close our postings early. At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long-term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you require any reasonable adjustments, please email us at
the company Informatics is a bioscience and information technology company advancing translational research through biomedical informatics, data science, artificial intelligence, and intelligent automation. We partner with research centers, healthcare organizations, and government agencies around the globe to transform complex data into actionable insights that accelerate scientific discovery and improve decision making. Our multidisciplinary teams of experts in biomedical science, software engineering, data engineering, AI, automation, and program management develop innovative technologies, modernize data ecosystems, and create scalable solutions that enable the next generation of research and healthcare innovation. Role Overview We are seeking an experienced GCP Data Engineer to own the technical pipeline infrastructure for a Finance Transformation program. The successful candidate will design and implement the shared pipeline architecture that underpins the program's data product delivery, building the Workday and Oracle Finance connectors and owning the unified data model, lineage graph, and real time event capture infrastructure. This is a senior, hands on engineering role requiring deep expertise in GCP pipeline services, Workday and Oracle API extraction, and data lineage architecture. The candidate will establish the GCP native pipeline pattern used by both domain connectors, pair with each domain analyst on their source specific extraction builds, and ensure the unified data model in Cloud SQL serves all three reporting lenses - Function, Supervisory Organization, and Job Family - from a single join layer. The successful candidate will combine engineering rigor with practical delivery focus, move between architectural design and production build, and provide clear technical guidance to domain analysts who own the domain specific extraction logic. Key Responsibilities Design and implement the shared GCP native pipeline architecture, establishing the Cloud Dataflow and Cloud Composer pattern that both HR and Finance connectors follow, with pipeline health monitoring, alerting, and audit trail via Cloud Monitoring and Cloud Logging. Build the Workday connector using RaaS for bulk extraction and REST APIs for real time lifecycle event capture, and configure Firebase Realtime Database to reflect classification and cost changes within minutes of each lifecycle event. Build the Oracle Finance connector using REST APIs with SOAP fallback, applying basis tagging at ingestion so the same pipeline serves statutory, management, Lloyd's, and regulatory reporting without rerunning the extract. Pair with each domain analyst on their source specific extraction builds, providing GCP architectural guidance while the analyst owns domain specific field mapping, validation, and sign off. Design and maintain the Cloud SQL unified data model, including the HR to Finance mapping table and the join layer that serves all three reporting lenses - Function, Supervisory Organization, and Job Family - from a single data model. Implement the lineage graph in Cloud SQL, publish definitions and lineage via REST API to downstream components, and configure Firebase to stream audit events continuously, logging every access, change, and approval. Ensure the data model supports DirectQuery from Power BI Embedded and that all pipeline solutions comply with client governance, security, and segregation of duties requirements. Required Qualifications 5+ years of GCP engineering experience, with deep expertise in Cloud Dataflow, Cloud Composer, and Cloud SQL, including designing and operating production data pipelines in these services. Demonstrable experience extracting data from Workday using RaaS bulk export and REST APIs for real time event capture, with an understanding of Workday supervisory org and worker classification data structures. Demonstrable experience extracting data from Oracle Fusion Cloud using REST APIs, with SOAP API awareness as a fallback pattern. Experience designing relational data models in Cloud SQL that serve multiple reporting lenses from a single join layer. Strong understanding of data lineage implementation - specifically building lineage graphs in a relational store and surfacing them via REST API to downstream applications. Strong troubleshooting, root cause analysis, and production support skills. Excellent communication skills and ability to guide domain SMEs on technical architecture decisions. Required Technical Skills Cloud Dataflow, Cloud Composer, Cloud SQL, Cloud Run, Firebase Realtime Database, Cloud Monitoring, and Cloud Logging Workday RaaS and REST APIs; Oracle Fusion Cloud REST APIs with SOAP fallback Unified data model design across HR and Finance systems, lineage graph implementation with REST API publishing, and basis tagging at ingestion DirectQuery semantic layer design, Power BI Embedded integration, and Informatica Preferred Qualifications GCP Professional Data Engineer certification or equivalent demonstrated experience. Exposure to Power BI Embedded and DirectQuery configuration. Familiarity with Informatica and experience designing migration paths to GCP native tooling without breaking existing data models. Insurance or financial services background with familiarity with multi basis reporting requirements. Experience delivering GCP data infrastructure in consulting or professional services environments. Deep technical expertise in GCP pipeline services, data architecture, and lineage design, with the ability to design shared infrastructure that serves multiple parallel domain workstreams. Ability to lead distributed technical workstreams, mentor domain analysts, and communicate architectural decisions clearly to both technical and governance stakeholders. Strong attention to data quality, lineage integrity, and pipeline observability, with the ability to work independently and drive technical outcomes. Success Criteria Establish and document the shared GCP native pipeline architecture before domain connector builds begin. Deliver both the Workday and Oracle connectors on schedule, producing validated, lineage stamped data to Cloud SQL. Implement a unified data model supporting all three reporting lenses from a single join layer. Stand up the lineage graph, enabling any dashboard metric to be traced to its originating source record. Configure Firebase real time event capture with continuous audit event streaming. Enable domain SMEs to build their source specific extraction logic confidently within the established pipeline pattern. Ensure the data model supports DirectQuery from Power BI Embedded across all certified data products. The diversity of the company's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate. Accessibility: If you need an accommodation as part of the employment process, please contact Disclaimer The above is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job or responsibilities as needed.
10/07/2026
Full time
the company Informatics is a bioscience and information technology company advancing translational research through biomedical informatics, data science, artificial intelligence, and intelligent automation. We partner with research centers, healthcare organizations, and government agencies around the globe to transform complex data into actionable insights that accelerate scientific discovery and improve decision making. Our multidisciplinary teams of experts in biomedical science, software engineering, data engineering, AI, automation, and program management develop innovative technologies, modernize data ecosystems, and create scalable solutions that enable the next generation of research and healthcare innovation. Role Overview We are seeking an experienced GCP Data Engineer to own the technical pipeline infrastructure for a Finance Transformation program. The successful candidate will design and implement the shared pipeline architecture that underpins the program's data product delivery, building the Workday and Oracle Finance connectors and owning the unified data model, lineage graph, and real time event capture infrastructure. This is a senior, hands on engineering role requiring deep expertise in GCP pipeline services, Workday and Oracle API extraction, and data lineage architecture. The candidate will establish the GCP native pipeline pattern used by both domain connectors, pair with each domain analyst on their source specific extraction builds, and ensure the unified data model in Cloud SQL serves all three reporting lenses - Function, Supervisory Organization, and Job Family - from a single join layer. The successful candidate will combine engineering rigor with practical delivery focus, move between architectural design and production build, and provide clear technical guidance to domain analysts who own the domain specific extraction logic. Key Responsibilities Design and implement the shared GCP native pipeline architecture, establishing the Cloud Dataflow and Cloud Composer pattern that both HR and Finance connectors follow, with pipeline health monitoring, alerting, and audit trail via Cloud Monitoring and Cloud Logging. Build the Workday connector using RaaS for bulk extraction and REST APIs for real time lifecycle event capture, and configure Firebase Realtime Database to reflect classification and cost changes within minutes of each lifecycle event. Build the Oracle Finance connector using REST APIs with SOAP fallback, applying basis tagging at ingestion so the same pipeline serves statutory, management, Lloyd's, and regulatory reporting without rerunning the extract. Pair with each domain analyst on their source specific extraction builds, providing GCP architectural guidance while the analyst owns domain specific field mapping, validation, and sign off. Design and maintain the Cloud SQL unified data model, including the HR to Finance mapping table and the join layer that serves all three reporting lenses - Function, Supervisory Organization, and Job Family - from a single data model. Implement the lineage graph in Cloud SQL, publish definitions and lineage via REST API to downstream components, and configure Firebase to stream audit events continuously, logging every access, change, and approval. Ensure the data model supports DirectQuery from Power BI Embedded and that all pipeline solutions comply with client governance, security, and segregation of duties requirements. Required Qualifications 5+ years of GCP engineering experience, with deep expertise in Cloud Dataflow, Cloud Composer, and Cloud SQL, including designing and operating production data pipelines in these services. Demonstrable experience extracting data from Workday using RaaS bulk export and REST APIs for real time event capture, with an understanding of Workday supervisory org and worker classification data structures. Demonstrable experience extracting data from Oracle Fusion Cloud using REST APIs, with SOAP API awareness as a fallback pattern. Experience designing relational data models in Cloud SQL that serve multiple reporting lenses from a single join layer. Strong understanding of data lineage implementation - specifically building lineage graphs in a relational store and surfacing them via REST API to downstream applications. Strong troubleshooting, root cause analysis, and production support skills. Excellent communication skills and ability to guide domain SMEs on technical architecture decisions. Required Technical Skills Cloud Dataflow, Cloud Composer, Cloud SQL, Cloud Run, Firebase Realtime Database, Cloud Monitoring, and Cloud Logging Workday RaaS and REST APIs; Oracle Fusion Cloud REST APIs with SOAP fallback Unified data model design across HR and Finance systems, lineage graph implementation with REST API publishing, and basis tagging at ingestion DirectQuery semantic layer design, Power BI Embedded integration, and Informatica Preferred Qualifications GCP Professional Data Engineer certification or equivalent demonstrated experience. Exposure to Power BI Embedded and DirectQuery configuration. Familiarity with Informatica and experience designing migration paths to GCP native tooling without breaking existing data models. Insurance or financial services background with familiarity with multi basis reporting requirements. Experience delivering GCP data infrastructure in consulting or professional services environments. Deep technical expertise in GCP pipeline services, data architecture, and lineage design, with the ability to design shared infrastructure that serves multiple parallel domain workstreams. Ability to lead distributed technical workstreams, mentor domain analysts, and communicate architectural decisions clearly to both technical and governance stakeholders. Strong attention to data quality, lineage integrity, and pipeline observability, with the ability to work independently and drive technical outcomes. Success Criteria Establish and document the shared GCP native pipeline architecture before domain connector builds begin. Deliver both the Workday and Oracle connectors on schedule, producing validated, lineage stamped data to Cloud SQL. Implement a unified data model supporting all three reporting lenses from a single join layer. Stand up the lineage graph, enabling any dashboard metric to be traced to its originating source record. Configure Firebase real time event capture with continuous audit event streaming. Enable domain SMEs to build their source specific extraction logic confidently within the established pipeline pattern. Ensure the data model supports DirectQuery from Power BI Embedded across all certified data products. The diversity of the company's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate. Accessibility: If you need an accommodation as part of the employment process, please contact Disclaimer The above is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job or responsibilities as needed.
Senior Machine Learning Software Engineer Date: 5 Jul 2026 Location: Belfast, GB; Oxford, GB; High Wycombe, GB; Bristol, GB, BS35 4GG Job Function: Technical Accelerate Scientific Discovery with Oxford Instruments Andor At Oxford Instruments Andor, we are dedicated to enabling the world's greatest scientific breakthroughs. Our cutting edge imaging, spectroscopy and microscopy technologies are helping researchers develop life saving treatments, explore deeper into space and advance sustainable energy solutions. As a global leader in high performance light measurement technology, we combine expertise in sensors, electronics, optics and software to deliver industry leading solutions to customers in over 55 countries worldwide. Guided by our core values of Inclusive, Innovative, Trusted and Purposeful, we strive to create technologies that make a meaningful difference to science and society. The Opportunity We are seeking a Senior Machine Learning Software Engineer to join our software development team and help shape the future of intelligent image analysis within our world class scientific products. This is a senior individual contributor role for an experienced engineer who is passionate about applying machine learning and computer vision techniques to solve complex real world problems. You will act as the technical expert for machine learning within the team, researching, developing and deploying advanced ML solutions that directly enhance our image analysis, image processing, object detection and segmentation capabilities. Working at the intersection of software engineering, machine learning and scientific imaging, you'll have the opportunity to tackle highly challenging problems involving large multidimensional datasets, cutting edge algorithms and high performance computing environments. What You Will Be Doing Machine Learning Innovation Research, develop and deploy advanced machine learning solutions for image analysis, image processing, object detection and segmentation. Evaluate technical challenges and determine the most effective ML approach, whether developing custom models or adapting state of the art solutions. Explore emerging technologies and techniques to continuously improve product capabilities. Software Development Design, develop and maintain robust software solutions using modern software engineering practices. Integrate machine learning algorithms into high-performance desktop applications. Contribute to the wider C++ application architecture and codebase. Participate in code reviews and contribute to development best practices. Performance & Optimisation Profile and optimise model execution for CPU and GPU acceleration. Ensure efficient processing of large-scale 3D and 4D imaging datasets. Develop scalable and maintainable solutions suitable for production environments. Technical Leadership Provide technical guidance, mentoring and support to other software engineers and test team members. Contribute to technical investigations and architectural decisions. Share knowledge and promote engineering excellence across the team. Work closely with software engineers, scientists, product managers and domain experts. Support product development from concept through to deployment. Occasionally travel to other Oxford Instruments sites and customer locations when required. What We're Looking For Qualifications MSc in Computer Science, Data Science, Mathematics, Physics, Engineering or a related quantitative discipline, or equivalent industry experience. Experience Senior level experience in software engineering, machine learning development or advanced applied research. Proven experience delivering machine learning projects from concept through to production deployment. Strong software development background with object-oriented design principles. Experience researching, evaluating and implementing ML solutions for real-world business or scientific applications. Technical Knowledge Deep understanding of machine learning theory, mathematics and image processing principles. Strong knowledge of modern deep learning architectures including CNNs, U-Net and related computer vision frameworks. Production-level experience with PyTorch and/or TensorFlow. Experience building, training, evaluating and deploying machine learning models. Strong understanding of Python scientific and machine learning ecosystems. Expertise in object-oriented software design and development. Ability to independently research and implement innovative solutions to complex technical challenges. Research experience or publications in Computer Vision, Biomedical Image Analysis or Deep Learning. Experience working with multidimensional image data, volumetric datasets or large-scale imaging systems. Experience deploying ML models into production environments. Knowledge of C++ software development. Familiarity with Git and Azure DevOps. Experience with cross-platform development (Windows and Mac). Exposure to cloud-based training workflows. Understanding of cybersecurity principles. About You Enjoy solving complex technical challenges. Are naturally curious and passionate about innovation. Take ownership and accountability for delivering high-quality solutions. Enjoy collaborating with multidisciplinary teams. Can translate research concepts into robust, production-ready software. Continuously seek opportunities to learn and improve. Are motivated by seeing your work contribute to meaningful scientific advancements. This permanent position is based at our headquarters in Belfast or remotely within the UK. Please note that Oxford Instruments Andor is unable to provide visa sponsorship for these roles. Applicants must have the right to live and work in the UK at the time of application. Closing Date Closing date for receipt of completed applications is midnight on Sunday 26th July 2026. Why Join Oxford Instruments Andor? At Oxford Instruments Andor, you'll work with talented colleagues on products that make a genuine difference to the scientific community and society as a whole. You'll have the opportunity to: Work on challenging machine learning and computer vision problems. Contribute to products used by leading research institutions and industrial organisations worldwide. Collaborate with experts across software, optics, imaging and scientific disciplines. Develop your career within a global technology organisation committed to innovation and professional growth. Private Medical Insurance (BUPA) for you and your dependants Employee Assistance Programme Mental Health First Aiders Income Protection Life Assurance and Personal Accident Insurance Occupational Health Service Company sick pay Two paid volunteering days per year Money & Lifestyle Share Incentive Plan Leave Purchase Scheme Cycle to Work Scheme Car Salary Exchange Scheme Employee Discount Scheme Free On-site Parking Accredited learning and development programmes Career progression opportunities across the Oxford Instruments Group Long Service Awards Work-Life Balance 187.5 hours annual leave plus 9 customary holidays Early finish every Friday Enhanced maternity and paternity pay We Value Potential We know that no candidate will meet every requirement listed. If you're excited by the opportunity and believe your skills, experience and passion could make an impact, we'd love to hear from you. We welcome applications from individuals whose experience may not align perfectly with every criterion. Our Commitment to Inclusion Oxford Instruments Andor is committed to creating a diverse, equitable and inclusive workplace where everyone feels valued and empowered to succeed. We welcome applications from all backgrounds and particularly encourage applications from groups who are currently underrepresented within our workforce. Together, we're enabling the scientific discoveries that shape tomorrow.
09/07/2026
Full time
Senior Machine Learning Software Engineer Date: 5 Jul 2026 Location: Belfast, GB; Oxford, GB; High Wycombe, GB; Bristol, GB, BS35 4GG Job Function: Technical Accelerate Scientific Discovery with Oxford Instruments Andor At Oxford Instruments Andor, we are dedicated to enabling the world's greatest scientific breakthroughs. Our cutting edge imaging, spectroscopy and microscopy technologies are helping researchers develop life saving treatments, explore deeper into space and advance sustainable energy solutions. As a global leader in high performance light measurement technology, we combine expertise in sensors, electronics, optics and software to deliver industry leading solutions to customers in over 55 countries worldwide. Guided by our core values of Inclusive, Innovative, Trusted and Purposeful, we strive to create technologies that make a meaningful difference to science and society. The Opportunity We are seeking a Senior Machine Learning Software Engineer to join our software development team and help shape the future of intelligent image analysis within our world class scientific products. This is a senior individual contributor role for an experienced engineer who is passionate about applying machine learning and computer vision techniques to solve complex real world problems. You will act as the technical expert for machine learning within the team, researching, developing and deploying advanced ML solutions that directly enhance our image analysis, image processing, object detection and segmentation capabilities. Working at the intersection of software engineering, machine learning and scientific imaging, you'll have the opportunity to tackle highly challenging problems involving large multidimensional datasets, cutting edge algorithms and high performance computing environments. What You Will Be Doing Machine Learning Innovation Research, develop and deploy advanced machine learning solutions for image analysis, image processing, object detection and segmentation. Evaluate technical challenges and determine the most effective ML approach, whether developing custom models or adapting state of the art solutions. Explore emerging technologies and techniques to continuously improve product capabilities. Software Development Design, develop and maintain robust software solutions using modern software engineering practices. Integrate machine learning algorithms into high-performance desktop applications. Contribute to the wider C++ application architecture and codebase. Participate in code reviews and contribute to development best practices. Performance & Optimisation Profile and optimise model execution for CPU and GPU acceleration. Ensure efficient processing of large-scale 3D and 4D imaging datasets. Develop scalable and maintainable solutions suitable for production environments. Technical Leadership Provide technical guidance, mentoring and support to other software engineers and test team members. Contribute to technical investigations and architectural decisions. Share knowledge and promote engineering excellence across the team. Work closely with software engineers, scientists, product managers and domain experts. Support product development from concept through to deployment. Occasionally travel to other Oxford Instruments sites and customer locations when required. What We're Looking For Qualifications MSc in Computer Science, Data Science, Mathematics, Physics, Engineering or a related quantitative discipline, or equivalent industry experience. Experience Senior level experience in software engineering, machine learning development or advanced applied research. Proven experience delivering machine learning projects from concept through to production deployment. Strong software development background with object-oriented design principles. Experience researching, evaluating and implementing ML solutions for real-world business or scientific applications. Technical Knowledge Deep understanding of machine learning theory, mathematics and image processing principles. Strong knowledge of modern deep learning architectures including CNNs, U-Net and related computer vision frameworks. Production-level experience with PyTorch and/or TensorFlow. Experience building, training, evaluating and deploying machine learning models. Strong understanding of Python scientific and machine learning ecosystems. Expertise in object-oriented software design and development. Ability to independently research and implement innovative solutions to complex technical challenges. Research experience or publications in Computer Vision, Biomedical Image Analysis or Deep Learning. Experience working with multidimensional image data, volumetric datasets or large-scale imaging systems. Experience deploying ML models into production environments. Knowledge of C++ software development. Familiarity with Git and Azure DevOps. Experience with cross-platform development (Windows and Mac). Exposure to cloud-based training workflows. Understanding of cybersecurity principles. About You Enjoy solving complex technical challenges. Are naturally curious and passionate about innovation. Take ownership and accountability for delivering high-quality solutions. Enjoy collaborating with multidisciplinary teams. Can translate research concepts into robust, production-ready software. Continuously seek opportunities to learn and improve. Are motivated by seeing your work contribute to meaningful scientific advancements. This permanent position is based at our headquarters in Belfast or remotely within the UK. Please note that Oxford Instruments Andor is unable to provide visa sponsorship for these roles. Applicants must have the right to live and work in the UK at the time of application. Closing Date Closing date for receipt of completed applications is midnight on Sunday 26th July 2026. Why Join Oxford Instruments Andor? At Oxford Instruments Andor, you'll work with talented colleagues on products that make a genuine difference to the scientific community and society as a whole. You'll have the opportunity to: Work on challenging machine learning and computer vision problems. Contribute to products used by leading research institutions and industrial organisations worldwide. Collaborate with experts across software, optics, imaging and scientific disciplines. Develop your career within a global technology organisation committed to innovation and professional growth. Private Medical Insurance (BUPA) for you and your dependants Employee Assistance Programme Mental Health First Aiders Income Protection Life Assurance and Personal Accident Insurance Occupational Health Service Company sick pay Two paid volunteering days per year Money & Lifestyle Share Incentive Plan Leave Purchase Scheme Cycle to Work Scheme Car Salary Exchange Scheme Employee Discount Scheme Free On-site Parking Accredited learning and development programmes Career progression opportunities across the Oxford Instruments Group Long Service Awards Work-Life Balance 187.5 hours annual leave plus 9 customary holidays Early finish every Friday Enhanced maternity and paternity pay We Value Potential We know that no candidate will meet every requirement listed. If you're excited by the opportunity and believe your skills, experience and passion could make an impact, we'd love to hear from you. We welcome applications from individuals whose experience may not align perfectly with every criterion. Our Commitment to Inclusion Oxford Instruments Andor is committed to creating a diverse, equitable and inclusive workplace where everyone feels valued and empowered to succeed. We welcome applications from all backgrounds and particularly encourage applications from groups who are currently underrepresented within our workforce. Together, we're enabling the scientific discoveries that shape tomorrow.
We are looking for a Machine Learning Scientist to build AI and machine learning systems that turn complex biological data into actionable scientific insight. You will work at the intersection of ML, genomics, causal biology, and target discovery. The role includes building models, agentic AI workflows, systems that help automate analysis, reasoning, and decision support, and AI assisted tools that help connect genotype, cell state, perturbation, phenotype, and disease mechanism. This is a hands on role for someone who enjoys writing clear, reliable code, uses modern AI tools to move faster, and wants their work to shape real biological and therapeutic decisions. Responsibilities Build ML models for genomic, single-cell, perturbation, and phenotype data. Develop agentic AI workflows that help scientists analyze data, test hypotheses, and make better decisions. Use AI coding tools to accelerate development while keeping code reliable, readable, tested, and reproducible. Train and fine tune foundation models, language models, and representation learning methods for target discovery. Model relationships between genotype, cell state, perturbation response, causal biology, and disease. Collaborate closely with computational scientists, experimental biologists, software engineers, and target discovery teams. Communicate results clearly, including model assumptions, limitations, and next steps. Qualifications You do not need to meet every item to apply. Strong candidates may come from academia, industry, open source work, or hands on research. PhD, Master's degree, or equivalent experience in machine learning, computer science, computational biology, genomics, bioinformatics, statistics, engineering, or a related field. Strong Python coding skills and experience building practical Deep Learning ML systems. Experience using AI coding tools, coding assistants, LLM based workflows, or agentic development tools. Experience training, evaluating, or applying ML models to complex real world data. Depth in one or more of: biomedical foundation models, agentic AI, Perturb seq, single cell genomics, genotype-phenotype modeling, causal inference, perturbation modeling, or large scale biological datasets. Evidence of technical depth through papers, thesis work, open source projects, industry projects, or substantial hands on applied research. Values and Behaviors Encourage respectful disagreement and cultivate open minded, ego free interactions to continuously push each other towards excellence. Seek out diverse perspectives; practice active listening and genuine curiosity to ensure all contributions are valued, regardless of source. Recognize the impact of your behavior, language and attitudes, and strive for balanced, meaningful exchanges that enhance mutual growth and understanding in all interactions. Use a company first mindset to guide decision making; prioritize team over individual success. Take calculated risks and challenge convention in the quest for exceptional outcomes. Equal Employment Opportunity Quotient Therapeutics and Flagship Pioneering are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
08/07/2026
Full time
We are looking for a Machine Learning Scientist to build AI and machine learning systems that turn complex biological data into actionable scientific insight. You will work at the intersection of ML, genomics, causal biology, and target discovery. The role includes building models, agentic AI workflows, systems that help automate analysis, reasoning, and decision support, and AI assisted tools that help connect genotype, cell state, perturbation, phenotype, and disease mechanism. This is a hands on role for someone who enjoys writing clear, reliable code, uses modern AI tools to move faster, and wants their work to shape real biological and therapeutic decisions. Responsibilities Build ML models for genomic, single-cell, perturbation, and phenotype data. Develop agentic AI workflows that help scientists analyze data, test hypotheses, and make better decisions. Use AI coding tools to accelerate development while keeping code reliable, readable, tested, and reproducible. Train and fine tune foundation models, language models, and representation learning methods for target discovery. Model relationships between genotype, cell state, perturbation response, causal biology, and disease. Collaborate closely with computational scientists, experimental biologists, software engineers, and target discovery teams. Communicate results clearly, including model assumptions, limitations, and next steps. Qualifications You do not need to meet every item to apply. Strong candidates may come from academia, industry, open source work, or hands on research. PhD, Master's degree, or equivalent experience in machine learning, computer science, computational biology, genomics, bioinformatics, statistics, engineering, or a related field. Strong Python coding skills and experience building practical Deep Learning ML systems. Experience using AI coding tools, coding assistants, LLM based workflows, or agentic development tools. Experience training, evaluating, or applying ML models to complex real world data. Depth in one or more of: biomedical foundation models, agentic AI, Perturb seq, single cell genomics, genotype-phenotype modeling, causal inference, perturbation modeling, or large scale biological datasets. Evidence of technical depth through papers, thesis work, open source projects, industry projects, or substantial hands on applied research. Values and Behaviors Encourage respectful disagreement and cultivate open minded, ego free interactions to continuously push each other towards excellence. Seek out diverse perspectives; practice active listening and genuine curiosity to ensure all contributions are valued, regardless of source. Recognize the impact of your behavior, language and attitudes, and strive for balanced, meaningful exchanges that enhance mutual growth and understanding in all interactions. Use a company first mindset to guide decision making; prioritize team over individual success. Take calculated risks and challenge convention in the quest for exceptional outcomes. Equal Employment Opportunity Quotient Therapeutics and Flagship Pioneering are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
# Technical Project ManagerLead delivery of cutting-edge AI solutions in healthcare by bridging engineering, product, and customer teams to drive successful deployment, adoption, and continuous platform innovation.LondonTechnical The Role Key Responsibilities: Customer & Partner Engagement Cross-Functional Collaboration Platform Delivery Technical Leadership Requirements Technical Experience Nice to Have Perks and Benefits Application Contact Information General InformationPangaea Data (Pangaea) is a South San Francisco and London based business founded by Dr Vibhor Gupta and Prof Yike Guo (Director Data Science Institute at Imperial College London; Provost, Hong Kong University of Science and Technology). They have worked in medicine and computing for over 20 years and have raised over $300 million through their academic research, including a $110 million grant focused on development work on large language models in medicine. Pangaea's AI platform is configured on clinical guidelines to find more untreated and under-treated patients with hard-to-diagnose conditions for screening and treatment at the point of care. Pangaea's advisors include industry veterans from healthcare and the life sciences, including Lord David Prior (former chairman, NHS England) and Mr. Andy Palmer (former CIO, Novartis). The Role Key Responsibilities: Customer & Partner Engagement Participate in technical discussions with customers, partners, and strategic stakeholders. Explain AI capabilities, deployment approaches, and system architecture to technical and non-technical audiences. Support implementation projects, technical workshops, and solution design activities. Prepare technical materials for business development activities (e.g. demos, proposals, RFP responses). Cross-Functional Collaboration Work closely with clinicians, product managers, and commercial teams to understand real-world healthcare challenges. Gather internal and external feedback to inform product development priorities. Communicate upcoming platform changes and support successful feature adoption. Contribute to research publications and thought leadership. Platform Delivery Work closely with engineers to understand the product development and roadmap. Work closely with engineers to ensure high standards of software quality, testing, documentation, and maintainability. Monitor performance of deployed features and drive continuous product improvement. Technical Leadership Translate business and product goals into clear technical priorities and deliverables. Contribute to definition and execution of the AI product and technology roadmap. Evaluate emerging AI technologies and assess relevance to platform evolution. Mentor engineers and promote best practices in engineering and architecture. Requirements Technical Experience Degree (Bachelor's or higher) in Computer Science, Data Science, Engineering, Informatics, or a related field. Strong hands-on experience building and deploying AI / ML / DL / NLP / LLM systems in production environments. Proficiency in Python and modern AI frameworks and tools (e.g. PyTorch, Transformers, Scikit-learn, OpenAI Codex, Claude Code). Experience with data engineering, APIs, distributed systems, and cloud platforms (Azure / AWS / GCP). Experience working with structured and unstructured healthcare data or complex enterprise datasets. Familiarity with Linux environments and modern development workflows. Leadership & Stakeholder Skills Experience leading technical projects or mentoring engineers. Comfortable engaging directly with customers and senior stakeholders. Ability to communicate complex technical concepts clearly and pragmatically. Strong product mindset and focus on delivering real user value. Nice to Have Experience integrating with healthcare systems (e.g. EHR platforms such as Epic or Cerner). Experience building commercial software products in regulated environments. Publications or research experience in AI / ML / DL / NLP / LLM or biomedical informatics. Startup or scale-up experience. Perks and Benefits Flexible working hours. Benefits include private medical insurance, life insurance and travel cards. You would join a small, dedicated and fast-growing team. You will have the opportunity to learn about building a startup business from experienced professionals and serial entrepreneurs. We are currently supported by serial entrepreneurs and angel investors. You will have the opportunity to experience an investment life cycle for a startup and meet leading venture capitalists. Application Contact InformationYour application should include you cv and cover letter highlighting your relevant experience. Please email your application to
07/07/2026
Full time
# Technical Project ManagerLead delivery of cutting-edge AI solutions in healthcare by bridging engineering, product, and customer teams to drive successful deployment, adoption, and continuous platform innovation.LondonTechnical The Role Key Responsibilities: Customer & Partner Engagement Cross-Functional Collaboration Platform Delivery Technical Leadership Requirements Technical Experience Nice to Have Perks and Benefits Application Contact Information General InformationPangaea Data (Pangaea) is a South San Francisco and London based business founded by Dr Vibhor Gupta and Prof Yike Guo (Director Data Science Institute at Imperial College London; Provost, Hong Kong University of Science and Technology). They have worked in medicine and computing for over 20 years and have raised over $300 million through their academic research, including a $110 million grant focused on development work on large language models in medicine. Pangaea's AI platform is configured on clinical guidelines to find more untreated and under-treated patients with hard-to-diagnose conditions for screening and treatment at the point of care. Pangaea's advisors include industry veterans from healthcare and the life sciences, including Lord David Prior (former chairman, NHS England) and Mr. Andy Palmer (former CIO, Novartis). The Role Key Responsibilities: Customer & Partner Engagement Participate in technical discussions with customers, partners, and strategic stakeholders. Explain AI capabilities, deployment approaches, and system architecture to technical and non-technical audiences. Support implementation projects, technical workshops, and solution design activities. Prepare technical materials for business development activities (e.g. demos, proposals, RFP responses). Cross-Functional Collaboration Work closely with clinicians, product managers, and commercial teams to understand real-world healthcare challenges. Gather internal and external feedback to inform product development priorities. Communicate upcoming platform changes and support successful feature adoption. Contribute to research publications and thought leadership. Platform Delivery Work closely with engineers to understand the product development and roadmap. Work closely with engineers to ensure high standards of software quality, testing, documentation, and maintainability. Monitor performance of deployed features and drive continuous product improvement. Technical Leadership Translate business and product goals into clear technical priorities and deliverables. Contribute to definition and execution of the AI product and technology roadmap. Evaluate emerging AI technologies and assess relevance to platform evolution. Mentor engineers and promote best practices in engineering and architecture. Requirements Technical Experience Degree (Bachelor's or higher) in Computer Science, Data Science, Engineering, Informatics, or a related field. Strong hands-on experience building and deploying AI / ML / DL / NLP / LLM systems in production environments. Proficiency in Python and modern AI frameworks and tools (e.g. PyTorch, Transformers, Scikit-learn, OpenAI Codex, Claude Code). Experience with data engineering, APIs, distributed systems, and cloud platforms (Azure / AWS / GCP). Experience working with structured and unstructured healthcare data or complex enterprise datasets. Familiarity with Linux environments and modern development workflows. Leadership & Stakeholder Skills Experience leading technical projects or mentoring engineers. Comfortable engaging directly with customers and senior stakeholders. Ability to communicate complex technical concepts clearly and pragmatically. Strong product mindset and focus on delivering real user value. Nice to Have Experience integrating with healthcare systems (e.g. EHR platforms such as Epic or Cerner). Experience building commercial software products in regulated environments. Publications or research experience in AI / ML / DL / NLP / LLM or biomedical informatics. Startup or scale-up experience. Perks and Benefits Flexible working hours. Benefits include private medical insurance, life insurance and travel cards. You would join a small, dedicated and fast-growing team. You will have the opportunity to learn about building a startup business from experienced professionals and serial entrepreneurs. We are currently supported by serial entrepreneurs and angel investors. You will have the opportunity to experience an investment life cycle for a startup and meet leading venture capitalists. Application Contact InformationYour application should include you cv and cover letter highlighting your relevant experience. Please email your application to
About Relation Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. The opportunity Join the Turing team as a Machine Learning Scientist, where you will develop advanced AI systems that help scientists reason about complex biological problems. This role focuses on building LLM-driven reasoning systems and intelligent agents, using approaches such as reinforcement learning, RLHF, symbolic reasoning, and agentic architectures. Rather than applying standard ML pipelines, you will work on training and shaping models that can reason over evidence, explore knowledge, and support scientific discovery. You will work closely with computational scientists and biologists to develop systems that integrate large-scale biomedical data, scientific literature, and experimental insights to support target discovery and disease understanding. This is an individual contributor role suited to a mid- to senior-level ML scientist who enjoys solving challenging applied research problems at the intersection of AI and biology. Day to day, you will Design and develop agentic ML systems that can reason, plan, and interact with tools and data sources. Train and refine LLM-based reasoning models using approaches such as reinforcement learning, RLHF, or other alignment techniques. Develop algorithms that enable agents to explore and reason over complex scientific evidence. Build systems that integrate large-scale biological data, knowledge sources, and scientific literature. Collaborate closely with computational scientists, engineers, and biologists to translate scientific questions into ML systems. Prototype and iterate on new approaches for reasoning, decision-making, and hypothesis generation in scientific domains. Contribute to the technical direction of the team through experiments, publications, or new methodological ideas. We are particularly interested in candidates who have previously built systems such as: Training reasoning or tool-using language models using RL, RLHF, or similar approaches Developing agents that plan, explore, and interact with tools or environments Designing learning loops where models improve through feedback or interaction Building multi-step decision-making systems (e.g., scientific discovery systems, robotics policies, simulation agents, or planning systems) Developing evaluation frameworks for reasoning or agentic models Applying advanced ML techniques to complex real-world domains such as science, robotics, healthcare, or autonomous systems Professionally, you will have A PhD or MSc with substantial experience in Machine Learning, Computer Science, or a related quantitative field. Strong experience working with large language models, including training, fine-tuning, or evaluation. Experience with reinforcement learning, such as policy optimisation, actor-critic methods, or RLHF-style training pipelines. Hands-on experience building agentic or decision-making systems (e.g., tool-using LLMs, planning agents, or multi-agent systems). Strong programming skills in Python and modern ML frameworks. Experience developing applied ML systems in complex domains. Bonus experience Experience designing evaluation frameworks for reasoning or agentic systems. Experience applying ML to scientific, biomedical, or healthcare problems. Experience working in interdisciplinary environments combining ML and science. Publications or open-source contributions related to LLMs, reinforcement learning, agentic systems, or applied AI. Personally, you Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams. Take ownership of your work, proactively seek opportunities to contribute, and enable others to do their best work. Communicate openly and directly, give and receive feedback constructively, and handle challenging conversations with respect. Actively seek out diverse perspectives, build strong working relationships, and contribute to shared goals across teams. Embrace challenges with openness and resilience, set high standards for yourself, and strive to deliver meaningful outcomes. Working Style & Culture at Relation At Relation, we operate in a matrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting! Relation is a committed equal opportunities employer.
07/07/2026
Full time
About Relation Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. The opportunity Join the Turing team as a Machine Learning Scientist, where you will develop advanced AI systems that help scientists reason about complex biological problems. This role focuses on building LLM-driven reasoning systems and intelligent agents, using approaches such as reinforcement learning, RLHF, symbolic reasoning, and agentic architectures. Rather than applying standard ML pipelines, you will work on training and shaping models that can reason over evidence, explore knowledge, and support scientific discovery. You will work closely with computational scientists and biologists to develop systems that integrate large-scale biomedical data, scientific literature, and experimental insights to support target discovery and disease understanding. This is an individual contributor role suited to a mid- to senior-level ML scientist who enjoys solving challenging applied research problems at the intersection of AI and biology. Day to day, you will Design and develop agentic ML systems that can reason, plan, and interact with tools and data sources. Train and refine LLM-based reasoning models using approaches such as reinforcement learning, RLHF, or other alignment techniques. Develop algorithms that enable agents to explore and reason over complex scientific evidence. Build systems that integrate large-scale biological data, knowledge sources, and scientific literature. Collaborate closely with computational scientists, engineers, and biologists to translate scientific questions into ML systems. Prototype and iterate on new approaches for reasoning, decision-making, and hypothesis generation in scientific domains. Contribute to the technical direction of the team through experiments, publications, or new methodological ideas. We are particularly interested in candidates who have previously built systems such as: Training reasoning or tool-using language models using RL, RLHF, or similar approaches Developing agents that plan, explore, and interact with tools or environments Designing learning loops where models improve through feedback or interaction Building multi-step decision-making systems (e.g., scientific discovery systems, robotics policies, simulation agents, or planning systems) Developing evaluation frameworks for reasoning or agentic models Applying advanced ML techniques to complex real-world domains such as science, robotics, healthcare, or autonomous systems Professionally, you will have A PhD or MSc with substantial experience in Machine Learning, Computer Science, or a related quantitative field. Strong experience working with large language models, including training, fine-tuning, or evaluation. Experience with reinforcement learning, such as policy optimisation, actor-critic methods, or RLHF-style training pipelines. Hands-on experience building agentic or decision-making systems (e.g., tool-using LLMs, planning agents, or multi-agent systems). Strong programming skills in Python and modern ML frameworks. Experience developing applied ML systems in complex domains. Bonus experience Experience designing evaluation frameworks for reasoning or agentic systems. Experience applying ML to scientific, biomedical, or healthcare problems. Experience working in interdisciplinary environments combining ML and science. Publications or open-source contributions related to LLMs, reinforcement learning, agentic systems, or applied AI. Personally, you Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams. Take ownership of your work, proactively seek opportunities to contribute, and enable others to do their best work. Communicate openly and directly, give and receive feedback constructively, and handle challenging conversations with respect. Actively seek out diverse perspectives, build strong working relationships, and contribute to shared goals across teams. Embrace challenges with openness and resilience, set high standards for yourself, and strive to deliver meaningful outcomes. Working Style & Culture at Relation At Relation, we operate in a matrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting! Relation is a committed equal opportunities employer.
We are looking for a Machine Learning Scientist to build AI and machine learning systems that turn complex biological data into actionable scientific insight. You will work at the intersection of ML, genomics, causal biology, and target discovery. The role includes building models, agentic AI workflows, systems that help automate analysis, reasoning, and decision support, and AI assisted tools that help connect genotype, cell state, perturbation, phenotype, and disease mechanism. This is a hands on role for someone who enjoys writing clear, reliable code, uses modern AI tools to move faster, and wants their work to shape real biological and therapeutic decisions. Responsibilities Build ML models for genomic, single-cell, perturbation, and phenotype data. Develop agentic AI workflows that help scientists analyze data, test hypotheses, and make better decisions. Use AI coding tools to accelerate development while keeping code reliable, readable, tested, and reproducible. Train and fine tune foundation models, language models, and representation learning methods for target discovery. Model relationships between genotype, cell state, perturbation response, causal biology, and disease. Collaborate closely with computational scientists, experimental biologists, software engineers, and target discovery teams. Communicate results clearly, including model assumptions, limitations, and next steps. Qualifications You do not need to meet every item to apply. Strong candidates may come from academia, industry, open source work, or hands on research. PhD, Master's degree, or equivalent experience in machine learning, computer science, computational biology, genomics, bioinformatics, statistics, engineering, or a related field. Strong Python coding skills and experience building practical Deep Learning ML systems. Experience using AI coding tools, coding assistants, LLM based workflows, or agentic development tools. Experience training, evaluating, or applying ML models to complex real world data. Depth in one or more of: biomedical foundation models, agentic AI, Perturb seq, single cell genomics, genotype-phenotype modeling, causal inference, perturbation modeling, or large scale biological datasets. Evidence of technical depth through papers, thesis work, open source projects, industry projects, or substantial hands on applied research. Values and Behaviors Encourage respectful disagreement and cultivate open minded, ego free interactions to continuously push each other towards excellence. Seek out diverse perspectives; practice active listening and genuine curiosity to ensure all contributions are valued, regardless of source. Recognize the impact of your behavior, language and attitudes, and strive for balanced, meaningful exchanges that enhance mutual growth and understanding in all interactions. Use a company first mindset to guide decision making; prioritize team over individual success. Take calculated risks and challenge convention in the quest for exceptional outcomes. Equal Employment Opportunity Quotient Therapeutics and Flagship Pioneering are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
06/07/2026
Full time
We are looking for a Machine Learning Scientist to build AI and machine learning systems that turn complex biological data into actionable scientific insight. You will work at the intersection of ML, genomics, causal biology, and target discovery. The role includes building models, agentic AI workflows, systems that help automate analysis, reasoning, and decision support, and AI assisted tools that help connect genotype, cell state, perturbation, phenotype, and disease mechanism. This is a hands on role for someone who enjoys writing clear, reliable code, uses modern AI tools to move faster, and wants their work to shape real biological and therapeutic decisions. Responsibilities Build ML models for genomic, single-cell, perturbation, and phenotype data. Develop agentic AI workflows that help scientists analyze data, test hypotheses, and make better decisions. Use AI coding tools to accelerate development while keeping code reliable, readable, tested, and reproducible. Train and fine tune foundation models, language models, and representation learning methods for target discovery. Model relationships between genotype, cell state, perturbation response, causal biology, and disease. Collaborate closely with computational scientists, experimental biologists, software engineers, and target discovery teams. Communicate results clearly, including model assumptions, limitations, and next steps. Qualifications You do not need to meet every item to apply. Strong candidates may come from academia, industry, open source work, or hands on research. PhD, Master's degree, or equivalent experience in machine learning, computer science, computational biology, genomics, bioinformatics, statistics, engineering, or a related field. Strong Python coding skills and experience building practical Deep Learning ML systems. Experience using AI coding tools, coding assistants, LLM based workflows, or agentic development tools. Experience training, evaluating, or applying ML models to complex real world data. Depth in one or more of: biomedical foundation models, agentic AI, Perturb seq, single cell genomics, genotype-phenotype modeling, causal inference, perturbation modeling, or large scale biological datasets. Evidence of technical depth through papers, thesis work, open source projects, industry projects, or substantial hands on applied research. Values and Behaviors Encourage respectful disagreement and cultivate open minded, ego free interactions to continuously push each other towards excellence. Seek out diverse perspectives; practice active listening and genuine curiosity to ensure all contributions are valued, regardless of source. Recognize the impact of your behavior, language and attitudes, and strive for balanced, meaningful exchanges that enhance mutual growth and understanding in all interactions. Use a company first mindset to guide decision making; prioritize team over individual success. Take calculated risks and challenge convention in the quest for exceptional outcomes. Equal Employment Opportunity Quotient Therapeutics and Flagship Pioneering are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
We are looking for a Senior Machine Learning Scientist to lead machine learning strategy and deliver innovative modelling solutions for high-impact projects, ensuring scientific rigor and clinical relevance. About the Role You will turn research ideas into scalable products, contribute to publications and technical outputs, and uphold best practices in reproducibility and documentation. Working cross-functionally, you'll communicate insights clearly, collaborate on product development, and mentor others while helping to shape technical direction. Your daily duties will include: Lead ML strategy and technical execution for major projects. Design novel or advanced modelling approaches as needed. Contribute significantly to scientific or technical outputs such as publications, patents, or grant applications. Write, review, and take responsibility for technical documentation, reports, and algorithm specifications. Translate research concepts into proof-of-concepts, working prototypes and scalable solutions. Ensure reproducibility, documentation quality, and adherence to scientific and machine learning best practices. Collaborate with internal teams on product development. About You Essential PhD in a relevant field, with industry experience. Proficiency in Python and common ML libraries (e.g. PyTorch, TensorFlow, scikit-learn). Proficiency with version control and good software engineering practices. Deep expertise in machine learning and experimental methodology. Strong track record of applied problem-solving. Experience planning and delivering complex machine learning projects. Ability to operate with minimal guidance in ambiguous problem spaces. Evidence of significant research achievement. Desirable Formal training or experience in relevant fields of biomedical imaging, e.g. MR, digital pathology, endoscopy. Recognised expertise in a sub-domain (e.g. imaging, pathology, representation learning). Experience with regulatory-facing evidence generation. External scientific visibility. About Perspectum At Perspectum, you'll work with innovative technologies and talented teams on meaningful projects that make a real impact. We offer a collaborative environment where learning, development, and continuous improvement are encouraged. If you're ready to lead a high-performing support function within a growing technology organisation, we'd love to hear from you. At Perspectum, we are committed to fostering diversity, equity, and inclusion. We value individuals for their unique contributions and are dedicated to creating an environment where everyone can thrive. If you require any reasonable adjustments as part of the application process, please let our Talent Team know.
04/07/2026
Full time
We are looking for a Senior Machine Learning Scientist to lead machine learning strategy and deliver innovative modelling solutions for high-impact projects, ensuring scientific rigor and clinical relevance. About the Role You will turn research ideas into scalable products, contribute to publications and technical outputs, and uphold best practices in reproducibility and documentation. Working cross-functionally, you'll communicate insights clearly, collaborate on product development, and mentor others while helping to shape technical direction. Your daily duties will include: Lead ML strategy and technical execution for major projects. Design novel or advanced modelling approaches as needed. Contribute significantly to scientific or technical outputs such as publications, patents, or grant applications. Write, review, and take responsibility for technical documentation, reports, and algorithm specifications. Translate research concepts into proof-of-concepts, working prototypes and scalable solutions. Ensure reproducibility, documentation quality, and adherence to scientific and machine learning best practices. Collaborate with internal teams on product development. About You Essential PhD in a relevant field, with industry experience. Proficiency in Python and common ML libraries (e.g. PyTorch, TensorFlow, scikit-learn). Proficiency with version control and good software engineering practices. Deep expertise in machine learning and experimental methodology. Strong track record of applied problem-solving. Experience planning and delivering complex machine learning projects. Ability to operate with minimal guidance in ambiguous problem spaces. Evidence of significant research achievement. Desirable Formal training or experience in relevant fields of biomedical imaging, e.g. MR, digital pathology, endoscopy. Recognised expertise in a sub-domain (e.g. imaging, pathology, representation learning). Experience with regulatory-facing evidence generation. External scientific visibility. About Perspectum At Perspectum, you'll work with innovative technologies and talented teams on meaningful projects that make a real impact. We offer a collaborative environment where learning, development, and continuous improvement are encouraged. If you're ready to lead a high-performing support function within a growing technology organisation, we'd love to hear from you. At Perspectum, we are committed to fostering diversity, equity, and inclusion. We value individuals for their unique contributions and are dedicated to creating an environment where everyone can thrive. If you require any reasonable adjustments as part of the application process, please let our Talent Team know.
At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be helping to create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world. The Role: The Data Science team at CoMind develops the algorithms and machine learning systems that transform raw optical interference signals from CoMind One into continuous, clinically meaningful measurements of cerebral blood flow, intracranial pressure, and autoregulation. Working at the frontier of photonics, physiology, and applied ML, the team's work directly determines what CoMind One can measure, how accurately, and under what clinical conditions. As Principal Data Scientist, you will be the technical authority for CoMind's data science function, setting methodological direction for signal extraction and ML modelling, personally driving the most complex and highest-impact problems, and providing expert guidance across the team. This is a senior individual contributor role: you will not manage people directly, but your technical leadership will shape how the entire team approaches its most challenging problems. You will work closely with R&D, Clinical, and Software Engineering. At CoMind, all team members work at least 4 days per week from our new Kings Cross offices, plus a flexible work-from-home day. Responsibilities: Own the technical direction for signal processing and ML model development on CoMind One, defining approaches, architectures, and evaluation frameworks that set the standard for the team Lead the development and validation of the most complex data science components, from novel algorithm design through to evidence generation for regulatory submissions Act as the primary technical reviewer and expert resource across the data science team, setting the bar for methodological rigour, reproducibility, and scientific integrity Drive the design and execution of data collection and labelling strategies with Clinical teams, including ground truth definition, dataset governance, and performance benchmarking Contribute to CoMind's IP and publication strategy, authoring and reviewing technical papers, patent applications, and regulatory documents Represent the data science function in cross-functional technical forums, architecture reviews, and external scientific and clinical engagements Identify and introduce new methods, tools, and approaches that advance CoMind's signal extraction and ML capabilities AI is fundamental to our culture. It's not just a tool, but a core part of how we work, collaborate, and innovate. We expect all team members to embrace AI in their daily work and continuously find new ways to use it effectively. Skills & Experience: 15+ years of experience in data science, ML, or applied research, with a strong track record of independent technical leadership on complex, ambiguous problems Deep expertise in time-series signal processing and physiological or biomedical ML, including hands-on experience developing and validating models on noisy, real-world physiological data Demonstrated ability to take algorithmic work from research through to production-quality, validated implementation Experience in a regulated industry (medical devices, diagnostics, pharma, or similar), with familiarity with algorithm validation and documentation requirements for software as a medical device Strong record of scientific output: publications, patents, or equivalent evidence of original technical contribution and domain authority Nice to Have Background in neuroscience, neuromonitoring, neurophotonics, and/or cerebrovascular physiology Experience with optical signal processing - e.g. LiDAR, pulse oximetry, NIRS, laser doppler flowmetry, or related technologies Familiarity with FDA regulatory pathways for AI/ML-based medical devices Benefits: Company equity plan so all employees share in the success of the company Salary-sacrifice pension scheme Private medical, dental and vision insurance (medical history disregarded) Group life assurance at 4x annual income Comprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals Unlimited holiday allowance (+ bank holidays) and one week of remote working per quarter Lunch voucher (£10) every day for JustEat and free dinner on those days where you need to work later Twice weekly deliveries of fresh fruit and an extensive selection of snacks and drinks YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores Access to Udemy for upskilling and professional development.
02/07/2026
Full time
At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be helping to create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world. The Role: The Data Science team at CoMind develops the algorithms and machine learning systems that transform raw optical interference signals from CoMind One into continuous, clinically meaningful measurements of cerebral blood flow, intracranial pressure, and autoregulation. Working at the frontier of photonics, physiology, and applied ML, the team's work directly determines what CoMind One can measure, how accurately, and under what clinical conditions. As Principal Data Scientist, you will be the technical authority for CoMind's data science function, setting methodological direction for signal extraction and ML modelling, personally driving the most complex and highest-impact problems, and providing expert guidance across the team. This is a senior individual contributor role: you will not manage people directly, but your technical leadership will shape how the entire team approaches its most challenging problems. You will work closely with R&D, Clinical, and Software Engineering. At CoMind, all team members work at least 4 days per week from our new Kings Cross offices, plus a flexible work-from-home day. Responsibilities: Own the technical direction for signal processing and ML model development on CoMind One, defining approaches, architectures, and evaluation frameworks that set the standard for the team Lead the development and validation of the most complex data science components, from novel algorithm design through to evidence generation for regulatory submissions Act as the primary technical reviewer and expert resource across the data science team, setting the bar for methodological rigour, reproducibility, and scientific integrity Drive the design and execution of data collection and labelling strategies with Clinical teams, including ground truth definition, dataset governance, and performance benchmarking Contribute to CoMind's IP and publication strategy, authoring and reviewing technical papers, patent applications, and regulatory documents Represent the data science function in cross-functional technical forums, architecture reviews, and external scientific and clinical engagements Identify and introduce new methods, tools, and approaches that advance CoMind's signal extraction and ML capabilities AI is fundamental to our culture. It's not just a tool, but a core part of how we work, collaborate, and innovate. We expect all team members to embrace AI in their daily work and continuously find new ways to use it effectively. Skills & Experience: 15+ years of experience in data science, ML, or applied research, with a strong track record of independent technical leadership on complex, ambiguous problems Deep expertise in time-series signal processing and physiological or biomedical ML, including hands-on experience developing and validating models on noisy, real-world physiological data Demonstrated ability to take algorithmic work from research through to production-quality, validated implementation Experience in a regulated industry (medical devices, diagnostics, pharma, or similar), with familiarity with algorithm validation and documentation requirements for software as a medical device Strong record of scientific output: publications, patents, or equivalent evidence of original technical contribution and domain authority Nice to Have Background in neuroscience, neuromonitoring, neurophotonics, and/or cerebrovascular physiology Experience with optical signal processing - e.g. LiDAR, pulse oximetry, NIRS, laser doppler flowmetry, or related technologies Familiarity with FDA regulatory pathways for AI/ML-based medical devices Benefits: Company equity plan so all employees share in the success of the company Salary-sacrifice pension scheme Private medical, dental and vision insurance (medical history disregarded) Group life assurance at 4x annual income Comprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals Unlimited holiday allowance (+ bank holidays) and one week of remote working per quarter Lunch voucher (£10) every day for JustEat and free dinner on those days where you need to work later Twice weekly deliveries of fresh fruit and an extensive selection of snacks and drinks YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores Access to Udemy for upskilling and professional development.
