66 jobs found

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position IT Business Analyst - RDT Biometrics and Clinical Evidence Roche Digital Technology (RDT) is where innovation meets purpose. As a global team at the heart of Roche, we are a community of business minded technologists committed to help shape tomorrow's digital future of healthcare. Our mission is to power Roche through cutting edge digital technologies, harnessing the potential of artificial intelligence, data, and scalable tech innovations. Driven by purpose and passion, we're building a future where digital is a core strength across all of Roche, enabling smarter ways of working, unlocking human potential, and driving breakthroughs that truly matter for millions of patients around the world. At Roche, we offer a hybrid work model that combines flexibility with in person collaboration. For now, we require our employees to be in our offices on average two days per week. The specific office days may vary depending on business needs, such as workshops, conferences, town halls, team meetings, and other collaborative events. The Principal Business Analyst is a senior, high impact role that sits at the crossroads of clinical science, product strategy, and technology delivery. While positioned as a Business Analyst, this role operates with the breadth, depth, and strategic influence of a seasoned analyst owning the vision, innovation pipeline, and feature delivery of the Study Designer, a flagship product enabling clinical trial teams to design smarter, faster, and more impactful studies. This individual brings a rare combination of deep scientific credibility, product leadership, and technical fluency - capable of earning the trust of Clinical Scientists in one meeting and driving an engineering sprint in the next. They are relentlessly curious, innovation driven, and passionate about using technology to transform how clinical trials are conceived and executed - ultimately accelerating therapies to patients. The Opportunity Clinical & Scientific Collaboration: Act as the primary link between clinical/scientific teams and product engineering, building long term relationships and facilitating discovery workshops with medical experts to deeply understand trial design and represent the clinical user's voice. Product Feature Innovation: Define and own the feature roadmap by balancing business, scientific, and technical needs; foster innovation through design thinking sprints to identify new opportunities, create compelling business cases, and track feature success metrics/KPIs post release. Feature Design & Requirements Excellence: Author precise, actionable user stories, epics, and acceptance criteria; partner with UX to create wireframes and prototypes, ruthlessly filter requests based on value, and maintain a living product specification traceable to user needs. Technology & Engineering Partnership: Act as a technical translator by converting complex clinical workflows into structured requirements, leveraging strong literacy in architecture, data modeling, and APIs to collaborate with engineers on technical risks, dependencies, and solutions. Quality Assurance & UAT Support: Partner with architects, senior engineers, and QA leads throughout the development build cycle to ensure feature scalability and quality, while supporting UAT design and execution to meet scientific intent and usability standards. Agile Leadership & Delivery: Drive iterative delivery, rapid feedback, and hypothesis driven development; own and groom a sprint ready product backlog, lead all agile ceremonies (planning, stand ups, retrospectives), and proactively resolve team impediments or misalignments. Stakeholder Management: Serve as a trusted advisor to clinical and scientific leadership, guiding them on how digital capabilities can reshape, optimise, and elevate the overall way clinical trials are designed. Who You Are Professional Experience: Requires 10+ years of experience in product management, senior business analysis, or hybrid product leadership with complex digital products, plus 5+ years of hands on experience in clinical trial design, clinical development, or closely related life sciences. Education & Certifications: A Bachelor's degree in Life Sciences, Pharmacy, Biomedical Sciences, Computer Science, or Information Systems is required; a Master's degree or PhD in a clinical/scientific/biomedical field is preferred, and Business Analysis certifications (e.g., CBAP) are highly valued. Product Lifecycle & Requirements Management: Proven track record of managing the end to end product lifecycle from early discovery to live deployment and value measurement, backed by expert level skill in writing structured user stories, acceptance criteria, functional specs, and traceability matrices. Technical Literacy: Demonstrates a solid understanding of core software development concepts, including APIs, data models, microservices architecture, and cloud based platforms like AWS, Azure, or GCP. Agile Frameworks & Tool Proficiency: Extensive experience operating within agile/scrum frameworks, featuring hands on ownership of backlog management and sprint execution while being highly proficient in tools like JIRA, Confluence, and Productboard. Scientific Fluency & Systems Thinking: Possesses the scientific fluency to engage in deep, credible protocol design and regulatory conversations with physicians and researchers, combined with systems thinking to see how individual features connect to broader clinical workflows and patient outcomes. Leadership, Influence & Adaptability: Proven ability to lead, build coalitions, and influence senior cross functional stakeholders without formal authority; thrives with an innovation oriented mindset and exhibits comfort with ambiguity when priorities shift or problems are undefined. We look forward to your application! We recognise the importance of flexible working and will review all applicants' requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work. Who we are A healthier future drives us to innovate. Together, more than employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life changing healthcare solutions that make a global impact. Let's build a healthier future, together.

Sr Programmer Sr Data Scientist/Analyst OMOP (NA & UK Only) Updated: Today Location: London, LND, United Kingdom Job ID:-OTHLOC-3526-2DR Job Responsibilities Must be located in the United States, Canada or UK with no sponsorship needs to be considered for this position. OHDSI / DARWIN Analytics & Implementation Collaborate with researchers to understand project requirements and translate them into OHDSI/DARWIN-compatible solutions. Build, validate, and execute OMOP CDM cohorts and analyses using: ATLAS (cohort definition, characterization, exploration) ATHENA (vocabulary browsing, concept sets) ACHILLES (data characterization and quality insights) R packages in the OHDSI/DARWIN ecosystem (for cohort execution, characterization, estimation, and related workflows). Perform analyses using ATLAS and/or Prometheus or via programmatic workflows in R (and Python where appropriate), depending on study needs and platform patterns. Customize and extend OHDSI tools and applications as needed to support project- or portfolio-specific requirements. Observational Study Design, Statistics, and AI/ML Awareness Apply and document observational study designs and epidemiologic concepts for RWE (e.g., descriptive epidemiology, cohort designs, self-controlled designs, comparative approaches as applicable). Implement and interpret appropriate statistical methods, including confounding control strategies, time-to-event approaches, sensitivity analyses, and fit-for-purpose evaluations. Maintain familiarity with machine learning and statistical concepts to support exploratory modeling, feature engineering, prediction workflows (when relevant), and method selection. Reproducible, AI-Enabled, Production-Grade Analytics Develop reusable and maintainable analytic code, prioritizing reproducibility and auditability (clear methods, parameterization, and structured outputs). Incorporate AI-assisted workflows (nice to have and can be taught) to improve efficiency in: Code generation/refactoring Validation and QA checks Documentation and study write-ups Exploratory analysis and summary generation while ensuring results remain transparent, traceable, and scientifically defensible. GitHub-Centric Collaboration Use GitHub extensively (branching, pull requests, code reviews, issue tracking) to deliver collaborative, production-grade analytics. Required Qualifications Masters degree in Statistics or related field. Demonstrated experience with OMOP CDM and OHDSI tooling, including ATLAS (or Prometheus), ATHENA, and ACHILLES. Proficiency in common OHDSI community languages: SQL and R. Python is good too but most open-source tooling is in R. Strong understanding of observational study design and epidemiologic concepts, with emphasis on RWE. Experience working with healthcare data such as EHR and insurance claims, including healthcare data standards and fit-for-purpose evaluation. Solid understanding of clinical terminologies such as SNOMED, ICD-9/10, CPT, HCPCS, READ (and related standard vocabularies used in OMOP). Experience with data quality assessment and data validation techniques. Proven ability to work in a fast-paced environment, delivering high-quality outputs with strong documentation and collaboration. Strong problem-solving ability and comfort working in cross-functional teams. Excellent communication skills, with the ability to convey technical concepts to technical and non-technical stakeholders. Strong experience developing and maintaining documentation for RWE studies and insight generation. Demonstrated willingness and ability to incorporate AI tools into workflows for efficiency and quality. Experience supporting federated/network study execution patterns (where applicable). Benefits The benefits for this position may include a company car or car allowance, health benefits to include medical, dental, and vision, company match 401k, eligibility to participate in Employee Stock Purchase Plan, eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements. Salary Range The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role. Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

Competitive Intelligence DirectorJob DescriptionCompetitive Intelligence Director - Specialty CareWe are currently seeking to recruit an experienced Competitive Intelligence Director for our Specialty Care Therapy Area (TA). This is a key role in supporting the Medicines Commercial Teams (MCTs) and Medicines Development Teams (MDTs). As such you will act as an objective, critical and strategic advisor based on your deep expertise in current and future competitive drivers in the market. An opportunity like this rarely arises and we are looking for an exceptional individual who through their insightful and objective analysis of the established and emerging competitive environment can help shape GSK brand and portfolio strategies, now and for the future.Key responsibilities:As a full-time member of the Global Competitive Intelligence team aligned to Global Product Strategy in Speciality Care, you will be responsible forDedicated competitive intelligence support for inline products, pipeline products, Licensing/Business Development opportunities & other strategic assessments We are currently seeking to recruit an experienced Competitive Intelligence Director for our Specialty Care Therapy Area (TA). This is a key role in supporting the Medicines Commercial Teams (MCTs) and Medicines Development Teams (MDTs). As such you will act as an objective, critical and strategic advisor based on your deep expertise in current and future competitive drivers in the market. An opportunity like this rarely arises and we are looking for an exceptional individual who through their insightful and objective analysis of the established and emerging competitive environment can help shape GSK brand and portfolio strategies, now and for the future.Key responsibilities:As a full-time member of the Global Competitive Intelligence team aligned to Global Product Strategy in Speciality Care, you will be responsible forDedicated competitive intelligence support for inline products, pipeline products, Licensing/Business Development opportunities & other strategic assessmentsDevelopment of timely and actionable competitive insights including effective integration, consolidation and communication of scientific data analyses and insights at both disease and asset levelIntegrating primary and secondary information sources to derive competitive insights for in-scope pipeline assets, develop insights on competitor development strategies, tactics and potential positioning to ensure competitiveness of GSK assetsAct as an objective, critical and strategic advisor to asset teams based on deep expertise in current and future competitive drivers in the marketplaceLead competitive intelligence planning for key congresses with input from GSK teams and manage third party agency when vendor support required. Drive GSK team preparedness, ensuring key intelligence questions developed, aligning onsite activities and consolidating key insights and disseminating post-congressExpert use of a wide range of competitor information sources to support clinical development plans and product profile discussions, development of commercial forecasts, investment and brand strategy decisions (including evidence generation)Managing the resourcing and capabilities of a dedicated CI offshore team and CI vendors making sure that the team(s) are optimized to deliver maximum value and on-time delivery to stakeholdersDevelop holistic and predictive competitor landscape assessments based on a thorough understanding and analysis of internal and external business issues using robust CI sources and innovative methodologies and ensure integration of intelligence and CI deliverables into asset development, strategic forecasting, evidence generation and strategic decision makingLead cross-functional scenarios analysis and competitive simulation workshops with key MCT and MDT stakeholdersManage CI budget on behalf of asset team and engage third party agencies as appropriate. Ensure all CI research activities are conducted within appropriate GSK code of conduct, compliance and ethical business practices.Why You?Basic Qualifications:The job holder will work with a team of specialists to deliver competitive analysis and strategic recommendations to help shape and future-proof our therapy area strategies. The job holder will shape strategy and influence investment decisions by delivering analysis, insights and recommendations to Senior Leadership and other key partners to ensure a full understanding of the constantly evolving oncology landscape.Significant experiencein Pharmaceuticals (drug development, competitive intelligence, insights and analytics), strategic management consultancy or as a Pharma/Biotech financial analyst.Extensive experience in providing insightful and actionable insights through innovative approachesWillingness to spend 20-30% of time on travel to US and EU medical congresses and internal team meetingsThe ideal candidate would be based in the UK or US and have work permission to reside and work in either of these geographies.Preferred Qualifications:Educated to PhD, MD or Masters level in a biology/medical/pharmaceuticals disciplineSignificant work experience within the healthcare/ pharmaceutical sectorExperience of working within respiratory, immunology, hepatology, rare diseases fields preferredExtensive experience in attending and covering medical congressesA clear communicator with the ability to communicate complex issues simplyA critical, innovative thinker with a background in pharmaceuticals, clinical / research, consultancy or investment analysisExperienced in working within a global matrix environment, across a range of functions, seniority, and geographical locationsProven ability to challenge, influence and support senior stakeholdersClosing Date for Applications: 30/06/2026 (EOD)Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.We encourage you to apply as soon as possible, as we may close the role early if we receive a high volume of applications.Why GSK?Uniting science, technology and talent to get ahead of disease together.GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive.We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale.People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call.Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide.Important notice to Employment businesses/ AgenciesGSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at

NHS is hiring a Quality Assurance Analyst in Greater London to ensure high-quality service for analytical and microbiology testing. Your role involves data review, QA testing, and supervising junior staff. The ideal candidate holds a BSc in a relevant scientific discipline and has at least 2 years of laboratory experience, particularly with microbiological techniques. Join a team dedicated to improving healthcare for diverse communities across London.

Sr Programmer-Sr Data Scientist/Analys Real-World Data (SAS/R) Updated: Today Location: London, LND, United Kingdom Job ID:-OTHLOC-3526-2DR Description Sr Programmer-Sr Data Scientist/Analys Real-World Data (SAS/R). The role involves developing programs and providing statistical programming support for statisticians, building analysis datasets, tables, and figures, and managing data from real world sources. The position requires collaboration with the Clinical Solutions team to apply expertise in drug development and real world data analytics. Job Responsibilities Senior Data Analyst Programming Skills: Highly proficient in SAS or R. Database Experience: Extensive familiarity with commercial claims and EHR databases, such as Optum, MarketScan, IQVIA PharMetrics, or HealthVerity. Cohort Studies: Ability to conduct longitudinal cohort studies, including creating study cohorts, baseline and outcome variables from scratch. Epidemiological Methods: Solid understanding of epidemiologic study designs and methodologies. Statistical Expertise: Hands on experience with basic statistical tests, regression models, and survival analysis. Educational Background: Advanced degree in Biostatistics or Epidemiology. Preferred: Prior experience in the pharmaceutical industry, but not necessarily. Assess quality of the data Protocol and SAP review and input Conduct analyses (programming of TFLs) Nice to have: Standard Data & Data Standards Observational Medical Outcomes (OMOP) Common Data Model (CDM) Open community of data standards Standards, structure and content of observational data Enables efficient analyses Data Standardization - OHDSI OHDSI (Observational Health Data Studies & Informatics) Tools OHDSI - Observational Health Data Sciences and Informatics DARWIN: DARWIN EU Initiative Presentation - OHDSI Qualifications Undergraduate degree, preferably in a scientific or statistical discipline; in lieu of degree, an equivalent combination of education and demonstrated programming experience. Extensive programming experience in SAS or other required software, preferably in a clinical trial environment. Excellent written and verbal communication skills. Ability to read, write, speak and understand English. At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality of life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements. Salary Range: $80,600.00 - $175,700.00 Additional Information: Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job. Summary Roles within the Statistical Programming job family are responsible for developing programs and providing statistical programming support for statisticians or for client or business use to address needs for sourcing, organizing (creating statistical tables, listings, and graphs), and interpreting complex data sets utilizing codes and programs. This includes developing codes that create analysis datasets, tables, and figures, evaluating programming processes, and suggesting revisions geared toward increasing productivity. Individual contributors with responsibility in a professional or technical discipline or specialty, but may manage two or fewer employees. May direct the work of lower level professionals or manage processes and programs. The majority of time is spent contributing to the design, implementation or delivery of processes, programs, and policies, using knowledge and skills typically acquired through advanced education. Individual contributor with developing subject matter expertise and responsibility for processes. In-depth knowledge and skills within a professional discipline, understanding the impact of work on related areas. May be responsible for entire projects or processes within area of responsibility.

R&D Assistant - Stability City: Kingston upon Hull Research & Development In Research and Development, we are committed to creating a cleaner, healthier world by combining science, entrepreneurial spirit and fearless innovation to develop and enhance our products. Our nine Centres of Excellence provide opportunities for cross functional learning across diverse teams. About the role The Stability Expert Group is responsible for the efficient delivery of pivotal stability studies and the data used for product shelf life assignment and dossier registrations. Based in a fast paced analytical laboratory that supports up to 175 analysts, you will help produce future proof data to support shelf life assignments and registration requirements. Reporting to the R&D Stability Senior Associate, the R&D Stability Assistant generates, reviews and reports stability data for assigned projects, ensuring timely delivery and compliance with regulatory and cGMP standards. This is an on site position based in Hull, with an expectation of five days per week. Your responsibilities Comply in generating and reporting long term and pivotal stability studies that are allocated to you. Collaborate with the Stability Senior Associate on data trending, reporting and input into shelf life recommendations. Work with the Stability Senior Associate, Health Category and Operations teams to meet agreed deadlines. Maintain compliance with Health & Safety, Regulatory, Data Integrity and cGMP requirements; support OOT/OOS investigations. Contribute to continuous improvement initiatives within the team. Maintain audit readiness and participate in audits as required. Coach and mentor other assistants and apprentices within the Stability Expert team. Escalate and manage risks and issues in partnership with the Stability Senior Associate. Support other key related initiatives as part of the wider group management team. Foster an inclusive, innovative culture that encourages development and transparent processes. Engage in continuing professional development and training programmes. The experience we're looking for Degree in chemistry, life sciences, pharmacy, pharmaceutical sciences or a related discipline (or equivalent experience). Understanding of laboratory processes, stability and product development. Ability to manage multiple projects with agreed deadlines. Hands on scientific mindset. Openness to change. Results orientated attitude. Knowledge of regulatory, cGMP and Health & Safety requirements. Proactive, resilient and motivated. Strong problem solving and innovation skills. The skills for success R&D, collaboration, partnership building, accountability, adaptability, analytical thinking, chemistry, science, ability to challenge the status quo, and proposing improvement. What we offer We support our people through inclusive employee programmes, mental health assistance, life insurance, parental benefits and a global share plan. Eligible roles receive short term incentives and remuneration in line with Reckitt's pay for performance philosophy. Equality All qualified applicants will receive consideration for employment without regard to age, disability, colour, ethnicity, race, citizenship, national origin, religion, faith, pregnancy, family status and caring responsibilities, sexual orientation, sex, gender identity, gender expression, transgender identity, protected veteran status, size or any other basis protected by appropriate law.

Position Overview IT Business Analyst - RDT Biometrics & Clinical Evidence within Roche Digital Technology. This senior role operates at the intersection of clinical science, product strategy and technology delivery, owning the vision and innovation pipeline for the Study Designer product. A hybrid work model requires presence in the office on average two days per week. Responsibilities Act as the primary link between clinical/scientific teams and product engineering, facilitating discovery workshops with medical experts. Define and own the feature roadmap, balancing business, scientific and technical needs; lead design thinking sprints to identify opportunities, create business cases and track success metrics/KPIs. Author precise, actionable user stories, epics and acceptance criteria; partner with UX to produce wireframes and prototypes, filtering requests based on value. Translate complex clinical workflows into structured requirements; collaborate with engineers on technical risks, dependencies and solutions. Partner with architects, senior engineers and QA leads to ensure scalability and quality; support UAT design and execution. Lead all agile ceremonies, groom a sprint ready backlog and resolve impediments or misalignments. Serve as a trusted advisor to clinical and scientific leadership, guiding them on how digital capabilities can reshape clinical trial design. Qualifications 10+ years in product management, senior business analysis or hybrid product leadership for complex digital products and at least 5 years hands on experience in clinical trial design or related life sciences. Bachelor's degree in Life Sciences, Pharmacy, Biomedical Sciences, Computer Science or Information Systems; Master's or PhD preferred; Business Analysis certifications such as CBAP valued. Proven end to end product lifecycle management, including discovery, deployment and value measurement. Deep understanding of core software development concepts: APIs, data models, microservices architecture and cloud platforms (AWS, Azure, GCP). Extensive experience with agile/scrum frameworks and ownership of backlog management and sprint execution (JIRA, Confluence, Productboard). Scientific fluency to engage in protocol design and regulatory conversations, combined with systems thinking to connect features to clinical workflows and patient outcomes. Leadership, influence and adaptability: ability to lead, build coalitions, influence senior cross functional stakeholders without formal authority. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants' requests with care. We are an equal opportunity employer. We look forward to your application.

IT Business Analyst - RDT Biometrics and Clinical EvidenceApplylocations: Welwyntime type: Full timeposted on: Posted Todaytime left to apply: End Date: June 30, 2026 (12 days left to apply)job requisition id: 04At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The PositionThe Position IT Business Analyst - RDT Biometrics and Clinical Evidence Roche Digital Technology (RDT) is where innovation meets purpose. As a global team at the heart of Roche, we are a community of business-minded technologists committed to help shape tomorrow's digital future of healthcare. Our mission is to power Roche through cutting-edge digital technologies, harnessing the potential of artificial intelligence, data, and scalable tech innovations. Driven by purpose and passion, we're building a future where digital is a core strength across all of Roche, enabling smarter ways of working, unlocking human potential, and driving breakthroughs that truly matter for millions of patients around the world. At Roche, we offer a hybrid work model that combines flexibility with in-person collaboration. For now, we require our employees to be in our offices on average two days per week. The specific office days may vary depending on business needs, such as workshops, conferences, town halls, team meetings, and other collaborative events.The Principal Business Analyst is a senior, high-impact role that sits at the crossroads of clinical science, product strategy, and technology delivery. While positioned as a Business Analyst, this role operates with the breadth, depth, and strategic influence of a seasoned analyst owning the vision, innovation pipeline, and feature delivery of the Study Designer, a flagship product enabling clinical trial teams to design smarter, faster, and more impactful studies.This individual brings a rare combination of deep scientific credibility, product leadership, and technical fluency - capable of earning the trust of Clinical Scientists in one meeting and driving an engineering sprint in the next. They are relentlessly curious, innovation-driven, and passionate about using technology to transform how clinical trials are conceived and executed - ultimately accelerating therapies to patients. The Opportunity Clinical & Scientific Collaboration : Act as the primary link between clinical/scientific teams and product engineering, building long-term relationships and facilitating discovery workshops with medical experts to deeply understand trial design and represent the clinical user's voice. Product Feature Innovation: Define and own the feature roadmap by balancing business, scientific, and technical needs; foster innovation through design thinking sprints to identify new opportunities, create compelling business cases, and track feature success metrics/KPIs post-release. Feature Design & Requirements Excellence: Author precise, actionable user stories, epics, and acceptance criteria; partner with UX to create wireframes and prototypes, ruthlessly filter requests based on value, and maintain a living product specification traceable to user needs. Technology & Engineering Partnership: Act as a technical translator by converting complex clinical workflows into structured requirements, leveraging strong literacy in architecture, data modeling, and APIs to collaborate with engineers on technical risks, dependencies, and solutions. Quality Assurance & UAT Support: Partner with architects, senior engineers, and QA leads throughout the development build cycle to ensure feature scalability and quality, while supporting UAT design and execution to meet scientific intent and usability standards. Agile Leadership & Delivery: Drive iterative delivery, rapid feedback, and hypothesis-driven development; own and groom a sprint-ready product backlog, lead all agile ceremonies (planning, stand-ups, retrospectives), and proactively resolve team impediments or misalignments. Stakeholder Management: Serve as a trusted advisor to clinical and scientific leadership, guiding them on how digital capabilities can reshape, optimize, and elevate the overall way clinical trials are designed. Who You Are Professional Experience: Requires 10+ years of experience in product management, senior business analysis, or hybrid product leadership with complex digital products, plus 5+ years of hands-on experience in clinical trial design, clinical development, or closely related life sciences. Education & Certifications: A Bachelor's degree in Life Sciences, Pharmacy, Biomedical Sciences, Computer Science, or Information Systems is required; a Master's degree or PhD in a clinical/scientific/biomedical field is preferred, and Business Analysis certifications (e.g., CBAP) are highly valued. Product Lifecycle & Requirements Management: Proven track record of managing the end-to-end product lifecycle from early discovery to live deployment and value measurement, backed by expert-level skill in writing structured user stories, acceptance criteria, functional specs, and traceability matrices. Technical Literacy: Demonstrates a solid understanding of core software development concepts, including APIs, data models, microservices architecture, and cloud-based platforms like AWS, Azure, or GCP. Agile Frameworks & Tool Proficiency: Offers extensive experience operating within agile/scrum frameworks, featuring hands-on ownership of backlog management and sprint execution while being highly proficient in tools like JIRA, Confluence, and Productboard. Scientific Fluency & Systems Thinking: Possesses the scientific fluency to engage in deep, credible protocol design and regulatory conversations with physicians and researchers, combined with systems thinking to see how individual features connect to broader clinical workflows and patient outcomes. Leadership, Influence & Adaptability: Proven ability to lead, build coalitions, and influence senior cross-functional stakeholders without formal authority; thrives with an innovation-oriented mindset and exhibits comfort with ambiguity when priorities shift or problems are undefined.We look forward to your application !

Role Overview We are seeking a Senior Python Software Engineer/Quantitative Developer to take a leading role in the design, development, and evolution of the client's core analytics and trading platforms. The role is explicitly Python centric, with a strong focus on software architecture, code quality, and reliability across complex quantitative systems. You will work embedded within the analytics and trading function, partnering closely with quantitative analysts and data scientists to turn research models into robust, production grade Python systems. The role is intended to complement a mathematically strong team by bringing deeper software engineering rigour, helping scale both the codebase and the organisation as trading activity grows. Responsibilities Design, implement, and maintain production grade Python systems supporting: Power price forecasting pipelines Optimisation and dispatch of flexible assets (BESS, gas, hydro) Trading, simulation, and backtesting environments Establish and uphold strong Python engineering standards across the analytics codebase, including: Clear package and module structure Well defined interfaces between models, data, and execution layers Consistent error handling, logging, and observability Lead improvements in test coverage and reliability, spanning unit, integration, and regression testing for quantitative models Proactively identify, prioritise, and shape platform enhancements that most effectively support the trading roadmap, balancing urgency, technical debt, and cross team impact in close collaboration with analytics, trading, and product stakeholders Work closely with quants to refactor research driven Python code into maintainable, extensible components without compromising model fidelity Optimise performance critical Python code paths, including efficient use of vectorisation, parallelism, and memory management Collaborate with DevOps and Data Engineering on deployment, CI/CD, and runtime monitoring of Python services and batch workflows Provide technical leadership and mentorship on Python best practices, raising the overall engineering maturity of the analytics team Required Skills and Experience Strong professional experience as a Python software engineer, working on large or long lived codebases Deep understanding of Python for production use, including: Packaging, dependency management, and environment isolation Testing frameworks and test design for numerical code Profiling and performance optimisation in Python Solid grounding in software engineering fundamentals, including: System and API design Code readability, maintainability, and extensibility Version control and collaborative development workflows Experience working in quantitative, scientific, or data intensive domains Ability to operate comfortably at the interface between research, engineering, and commercial use cases Desirable Experience Experience in energy markets, commodity trading, or financial systems Familiarity with optimisation libraries, numerical methods, or simulation frameworks in Python Exposure to containerisation, cloud native Python deployments, or distributed compute patterns Prior experience modernising or hardening research oriented Python codebases Personal Attributes Strong engineering judgement with a pragmatic approach to complexity Comfortable taking ownership of critical systems used in live decision making Motivated by applying high quality software engineering to problems with tangible commercial and system wide impact Able to challenge constructively and influence technical direction without over engineering

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position IT Business Analyst - RDT Biometrics and Clinical Evidence Roche Digital Technology (RDT) is where innovation meets purpose. As a global team at the heart of Roche, we are a community of business minded technologists committed to help shape tomorrow's digital future of healthcare. Our mission is to power Roche through cutting edge digital technologies, harnessing the potential of artificial intelligence, data, and scalable tech innovations. Driven by purpose and passion, we're building a future where digital is a core strength across all of Roche, enabling smarter ways of working, unlocking human potential, and driving breakthroughs that truly matter for millions of patients around the world. At Roche, we offer a hybrid work model that combines flexibility with in person collaboration. For now, we require our employees to be in our offices on average two days per week. The specific office days may vary depending on business needs, such as workshops, conferences, town halls, team meetings, and other collaborative events. The Principal Business Analyst is a senior, high impact role that sits at the crossroads of clinical science, product strategy, and technology delivery. While positioned as a Business Analyst, this role operates with the breadth, depth, and strategic influence of a seasoned analyst owning the vision, innovation pipeline, and feature delivery of the Study Designer, a flagship product enabling clinical trial teams to design smarter, faster, and more impactful studies. This individual brings a rare combination of deep scientific credibility, product leadership, and technical fluency - capable of earning the trust of Clinical Scientists in one meeting and driving an engineering sprint in the next. They are relentlessly curious, innovation driven, and passionate about using technology to transform how clinical trials are conceived and executed - ultimately accelerating therapies to patients. The Opportunity Clinical & Scientific Collaboration: Act as the primary link between clinical/scientific teams and product engineering, building long term relationships and facilitating discovery workshops with medical experts to deeply understand trial design and represent the clinical user's voice. Product Feature Innovation: Define and own the feature roadmap by balancing business, scientific, and technical needs; foster innovation through design thinking sprints to identify new opportunities, create compelling business cases, and track feature success metrics/KPIs post release. Feature Design & Requirements Excellence: Author precise, actionable user stories, epics, and acceptance criteria; partner with UX to create wireframes and prototypes, ruthlessly filter requests based on value, and maintain a living product specification traceable to user needs. Technology & Engineering Partnership: Act as a technical translator by converting complex clinical workflows into structured requirements, leveraging strong literacy in architecture, data modeling, and APIs to collaborate with engineers on technical risks, dependencies, and solutions. Quality Assurance & UAT Support: Partner with architects, senior engineers, and QA leads throughout the development build cycle to ensure feature scalability and quality, while supporting UAT design and execution to meet scientific intent and usability standards. Agile Leadership & Delivery: Drive iterative delivery, rapid feedback, and hypothesis driven development; own and groom a sprint ready product backlog, lead all agile ceremonies (planning, stand ups, retrospectives), and proactively resolve team impediments or misalignments. Stakeholder Management: Serve as a trusted advisor to clinical and scientific leadership, guiding them on how digital capabilities can reshape, optimise, and elevate the overall way clinical trials are designed. Who You Are Professional Experience: Requires 10+ years of experience in product management, senior business analysis, or hybrid product leadership with complex digital products, plus 5+ years of hands on experience in clinical trial design, clinical development, or closely related life sciences. Education & Certifications: A Bachelor's degree in Life Sciences, Pharmacy, Biomedical Sciences, Computer Science, or Information Systems is required; a Master's degree or PhD in a clinical/scientific/biomedical field is preferred, and Business Analysis certifications (e.g., CBAP) are highly valued. Product Lifecycle & Requirements Management: Proven track record of managing the end to end product lifecycle from early discovery to live deployment and value measurement, backed by expert level skill in writing structured user stories, acceptance criteria, functional specs, and traceability matrices. Technical Literacy: Demonstrates a solid understanding of core software development concepts, including APIs, data models, microservices architecture, and cloud based platforms like AWS, Azure, or GCP. Agile Frameworks & Tool Proficiency: Extensive experience operating within agile/scrum frameworks, featuring hands on ownership of backlog management and sprint execution while being highly proficient in tools like JIRA, Confluence, and Productboard. Scientific Fluency & Systems Thinking: Possesses the scientific fluency to engage in deep, credible protocol design and regulatory conversations with physicians and researchers, combined with systems thinking to see how individual features connect to broader clinical workflows and patient outcomes. Leadership, Influence & Adaptability: Proven ability to lead, build coalitions, and influence senior cross functional stakeholders without formal authority; thrives with an innovation oriented mindset and exhibits comfort with ambiguity when priorities shift or problems are undefined. We look forward to your application! We recognise the importance of flexible working and will review all applicants' requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work. Who we are A healthier future drives us to innovate. Together, more than employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life changing healthcare solutions that make a global impact. Let's build a healthier future, together.

Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of securities, spanning the world's major liquid asset classes. Founded in 1997 by David Harding, Winton today manages assets for some of the world's largest institutional investors. We employ ambitious professionals who want to work collaboratively at the leading edge of investment management. Winton leverages quantitative analysis and cutting edge technology to identify and capitalize on opportunities across global financial markets. We foster a collaborative and intellectually stimulating environment, bringing together individuals with Mathematics, Physics and Computer Science backgrounds who are passionate about applying rigorous scientific methods to financial challenges. As a fundamentally data driven business, our success is heavily linked to the acquisition, processing, and analysis of vast datasets. High quality, well managed data forms the critical foundation for our quantitative research, strategy development, and automated trading systems. As a Data Analyst within our Quantitative Platform team, you will own the quality, consistency, and discoverability of datasets as they move from onboarding into production. You will uphold our data standards and catalogue, so datasets are easy to find, trust, and use. Your work spans vendor sourced financial data, time series across instruments and asset classes, and complex, multi table products where correct mapping and definitions matter as much as raw data accuracy. Your responsibilities will include: Defining and executing rigorous acceptance criteria for new and evolving data products. From sample evaluation through to production, including coverage analysis, staleness and gap detection, and reconciliation against trusted references where available. Acting as a subject matter expert on our data products, helping Strategy Managers with vendor formats, data anomalies, corporate actions semantics, identifiers, and documentation gaps; escalating and tracking issues with vendors and internal stakeholders until resolved. Building and maintaining an automated catalogue of datasets (descriptions, owners, refresh cadence, SLAs, source systems, schemas, known limitations). Keeping the catalogue aligned with reality when pipelines change so consumers rely on current metadata. Systematically probing new and existing datasets to ensure they meet our high data quality standards. Stress testing point in time, versioning and revision semantics; chasing down corrections, duplicates, staleness, and discontinuities with source vendors. Contributing to data quality frameworks, onboarding checklists, and documentation (data dictionaries, lineage notes, known limitations) so quality expectations are repeatable and auditable. Partnering with Data Engineers on handoff contracts (schemas, SLA expectations, alerting thresholds), with Quant Researchers on analytic sanity checks, and with operations on repeatable triage when anomalies appear in production datasets. What we are looking for: 3+ years' experience working with financial data vendors and their products. Strong grasp of cross asset class time series data and what common or nuanced issues can arise when onboarding new datasets. Comfort with complex, multi entity datasets (join keys, slow changing dimensions, snapshots vs history) and a methodical approach to debugging inconsistencies. Hands on analytical experience using Python, and the ability to summarize findings clearly for both technical and non technical audiences. Meticulous attention to detail and a bias toward evidence based conclusions. Excellent communication and collaboration skills, and the ability to work in a team in a fast moving, data centric environment. What would be advantageous: Direct experience with reference and hierarchical data (security masters, classification trees, entity relationships) and cross vendor alignment. Familiarity with market, fundamental, or alternative datasets used in systematic or quantitative investment workflows. Exposure to data quality tooling or statistical monitoring (distributions, drift, anomaly detection) applied to production or near production feeds. Practical experience using LLMs to accelerate complex data investigations. Equal Opportunity Workplace We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

Winton is looking for a Data Analyst to ensure the quality and usability of financial datasets. You will execute data acceptance criteria, act as a subject-matter expert, and maintain data catalogues. The ideal candidate has 3+ years of experience with financial data and strong skills in Python. Join a collaborative team committed to applying scientific methods to financial challenges. This role offers an exciting opportunity to work at the leading edge of investment management.

UnWork is a management consulting firm specialising in the future of work, workplace transformation and digital innovation. We partner with global organisations to reimagine the employee experience, optimise digital ecosystems and shape technology strategies that support high performing, people centred workplaces. We are looking for an analytical and critical thinker with a minimum of four years' experience in Research and Data Analytics, ideally in the workplace or real estate industry, to join our team. In this role you will be taking an active role in leading projects and working closely with clients and stakeholders at all levels, generating insights into client data which will be used to make strategic business decisions. Location This role is available in London, UK and New York, US. For the UK position, you will primarily be located at our Southwark office, with some remote working. Salary Package: OTE £50K+ including bonus and benefits. Contract Full time contract. What you can look forward to working at UnWork Accelerated career growth within our organisation Drive innovation and collaboration at every stage of our dynamic consultancy projects Engage with a prestigious portfolio of Fortune and FTSE listed clients, opening doors to impactful contributions and expanding your career horizons Gain hands on experience consulting with clients and stakeholders across all levels, building a valuable network while honing your skills Incentivise initiative, unlocking opportunities for personal and career advancement You will play a pivotal role in shaping and influencing project direction, ensuring your voice is heard and valued in our initiatives You will have the opportunity to engage with an extensive network of clients through UnGroup, expanding your professional connections and experiences Key Responsibilities Direct data and trend analysis and the UnWork research function to drive the development of our knowledge resources Create presentations, interim and final delivery packs for clients, involving copy writing, content creation, image selection and layout design Lead the data collection process Develop client relationships and oversee project deliverables to ensure client satisfaction Lead workshops and client meetings as required Raise the profile of UnWork by regularly attending conferences and networking events to establish relationships, identify partners and future customers Requirements Educated to degree level (or equivalent) in a numerate/scientific discipline Strong ability in MS Excel and PowerPoint Experience in Python, R and/or another data oriented programming language Experience in Tableau or similar (e.g. PowerBI or Spotfire) Previous experience in a business research or analyst position Intermediate ability/experience of MS Access (desirable) Skills and Characteristics Self starter, able to work and learn independently Strong analytical and critical thinking skills Excellent data presentation and writing skills Business acumen and understanding of business needs Interpersonal skills including strong verbal and written communication Strong time and project management skills Inquisitive attitude, keen to learn and quick to pick up new ideas and skills An interest in innovation and the future of work Benefits Include Salary Package: OTE £50K+ including bonus 32 days holiday per annum (incl. Bank Holidays), rising to 37 linked to length of service Cycle to Work Scheme Training and development opportunities Central London location with good transport links Hybrid working; typically working 3 days in our office Company share options

Viridien ( ) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.Team DescriptionData Hub is a dynamic team of scientists and developers who love solving complex problems. We provide leading edge technology solutions and services to solve our clients' data transformation and analytics challenges across a range of industries including geothermal, environmental, hydrocarbon and mineral exploration. You will be working in an open and collaborative environment with opportunities to learn, grow, and develop. We have an informal team culture and believe work should be fun and rewarding.You will be based in one of our hub locations (North Wales or Crawley), hybrid or remote will be considered, and you will be working alongside our teams of data engineers, machine learning engineers, software engineers and subject matter experts.Principal AccountabilitiesPlan, develop, deploy and maintain connectors and integrations between our data system and clients systems, such as systems of record or downstream consumption channels.Contribute to the development of our data platform infrastructure. This includes our orchestration systems, data processing logic and the interactions between system components.Help develop a flexible framework for data transformations by creating a modular system where new transformation logic can be easily developed and integrated into our product offering.Build and maintain robust data pipelines with a focus on dynamic, end-to-end, metadata driven solutions that consider a wide range of implications, such as downstream application/UI data access patterns, maintainability, monitoring, access control etc.Influence our choice of architecture and technology. You will be expected to communicate design ideas and solutions clearly through architectural diagrams and documentation to both technical and non-technical stakeholders.Awareness of best practices in software and data engineering, writing secure, performant, and maintainable code (Python, SQL). You will have a keen eye for minimising technical debt and optimising performance where it matters.Partner with data analysts, data scientists, and other end-users to understand their requirements and ensure the platform and its data are accessible, reliable, and meet project delivery needs.Share your work and best practices; collaborate with others; ensure what we build and how we build it aligns to our ambition for growth.Qualifications and ExperienceKey CompetenciesExperience of developing data integrations with geoscience or other scientific data types.Experience with geospatially referenced data and experience with oil and gas and/or mining domains highly advantageousPrevious experience of designing, building and maintaining data transformations in a system or product setting.Ability to write secure and performant code in Python and SQL, and ability to optimise queries and data pipelines.Experience using orchestrators and ETL tools, especially AirflowSignificant RDBMS experience (PostgreSQL, Oracle). Experience with other database types such as NoSQL database (e.g. Neo4j, Elastic) or Vector also beneficialData architecture experience relating to data modelling, data warehousing and schema design (3NF, dimensional modelling, medallion architecture).Experience using docker, VCS (git, Gitlab) and knowledge of CI/CDEnthusiastic attitude towards learning and the flexibility to adapt to new challenges or changes in direction.Experience of the following tools / technologies will also be beneficial:Knowledge of DevOps and DataOps best practices.Kubernetes deployment experience.Microsoft Azure and cloud native data technologies, e.g. Azure Data Factory, Databricks.RESTful API / GraphQL.Infrastructure as CodePrevious experience building web applications together with wide-ranging knowledge of web frameworks, HTTP, networking, security etc.Our Hiring ProcessAt Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don't hesitate to contact your recruiter directly.We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

Viridien ( ) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.Team DescriptionData Hub is a dynamic team of scientists and developers who love solving complex problems. We provide leading edge technology solutions and services to solve our clients' data transformation and analytics challenges across a range of industries including geothermal, environmental, hydrocarbon and mineral exploration. You will be working in an open and collaborative environment with opportunities to learn, grow, and develop. We have an informal team culture and believe work should be fun and rewarding.You will be based in one of our hub locations (North Wales or Crawley), hybrid or remote will be considered, and you will be working alongside our teams of data engineers, machine learning engineers, software engineers and subject matter experts.Principal AccountabilitiesPlan, develop, deploy and maintain connectors and integrations between our data system and clients systems, such as systems of record or downstream consumption channels.Contribute to the development of our data platform infrastructure. This includes our orchestration systems, data processing logic and the interactions between system components.Help develop a flexible framework for data transformations by creating a modular system where new transformation logic can be easily developed and integrated into our product offering.Build and maintain robust data pipelines with a focus on dynamic, end-to-end, metadata driven solutions that consider a wide range of implications, such as downstream application/UI data access patterns, maintainability, monitoring, access control etc.Influence our choice of architecture and technology. You will be expected to communicate design ideas and solutions clearly through architectural diagrams and documentation to both technical and non-technical stakeholders.Awareness of best practices in software and data engineering, writing secure, performant, and maintainable code (Python, SQL). You will have a keen eye for minimising technical debt and optimising performance where it matters.Partner with data analysts, data scientists, and other end-users to understand their requirements and ensure the platform and its data are accessible, reliable, and meet project delivery needs.Share your work and best practices; collaborate with others; ensure what we build and how we build it aligns to our ambition for growth.Qualifications and ExperienceKey CompetenciesExperience of developing data integrations with geoscience or other scientific data types.Experience with geospatially referenced data and experience with oil and gas and/or mining domains highly advantageousPrevious experience of designing, building and maintaining data transformations in a system or product setting.Ability to write secure and performant code in Python and SQL, and ability to optimise queries and data pipelines.Experience using orchestrators and ETL tools, especially AirflowSignificant RDBMS experience (PostgreSQL, Oracle). Experience with other database types such as NoSQL database (e.g. Neo4j, Elastic) or Vector also beneficialData architecture experience relating to data modelling, data warehousing and schema design (3NF, dimensional modelling, medallion architecture).Experience using docker, VCS (git, Gitlab) and knowledge of CI/CDEnthusiastic attitude towards learning and the flexibility to adapt to new challenges or changes in direction.Experience of the following tools / technologies will also be beneficial:Knowledge of DevOps and DataOps best practices.Kubernetes deployment experience.Microsoft Azure and cloud native data technologies, e.g. Azure Data Factory, Databricks.RESTful API / GraphQL.Infrastructure as CodePrevious experience building web applications together with wide-ranging knowledge of web frameworks, HTTP, networking, security etc.Our Hiring ProcessAt Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don't hesitate to contact your recruiter directly.We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

Senior Machine Learning Software Engineer (software integration) Location: Surrey, UK (Office-based) The package: A highly competitive salary + Bonus + Excellent Benefits Package Our client, a global leader in engineering simulation and modelling software is significantly expanding its Applied AI capabilities. We are integrating machine learning and AI directly into our core high-performance engineering platforms used by engineers and scientists worldwide. This is a hands on, senior level role focused on designing, building, and deploying production grade ML solutions within complex, performance critical commercial software products - not research prototypes or isolated experiments. The Role As a Senior Machine Learning Software Engineer, you will play a key role in embedding intelligent capabilities into our flagship engineering tools. You will work at the intersection of advanced machine learning, high performance software engineering, and domain specific scientific computing. You will take ownership of ML initiatives from concept through to production deployment, ensuring models deliver measurable performance improvements while meeting strict engineering standards for reliability, efficiency, and scalability. Key Responsibilities Design, implement, and deploy robust ML models into production engineering software systems Own the end to end ML lifecycle: data strategy, feature engineering, model development, optimisation, validation, and monitoring Translate complex scientific and engineering challenges into high impact ML solutions Optimise models for speed, memory efficiency, and scalability in compute intensive environments Write clean, efficient, testable, and maintainable production quality code (primarily in C++ and Python) Integrate ML capabilities seamlessly into existing large scale software architectures via APIs, libraries, and microservices Collaborate closely with software engineers, numerical analysts, and domain experts to deliver commercially valuable features Continuously improve model performance and robustness when working with real world, noisy, or high dimensional engineering data Essential Experience Strong commercial software engineering background with excellent C++ and Python skills Proven track record of successfully applying machine learning to real world, complex problems in a production environment Significant experience developing and deploying ML models within large scale software systems Deep understanding of model trade offs (accuracy vs. speed vs. memory) Experience working with challenging, real world datasets - including noisy, sparse, or domain specific engineering data Strong ability to write high quality, scalable, and production ready code Desirable Experience Hands on expertise with modern ML frameworks (PyTorch, TensorFlow, or JAX) Background in scientific computing, numerical methods, finite element analysis, or optimisation techniques Experience with GPU acceleration (CUDA), parallel computing, or high performance computing (HPC) Practical knowledge of MLOps, model serving, CI/CD for ML, and production deployment pipelines Experience integrating ML components into existing commercial C++ codebases Familiarity with engineering simulation, physics-based modelling, or CAE tools The great aspects of this role Work on genuinely challenging technical problems where ML directly enhances industry leading engineering software High degree of ownership and visible impact on products used globally Collaborate with talented, experienced engineers and subject matter experts Opportunity to shape how Applied AI is embedded into core commercial platforms for years to come Technically deep, long horizon work - far from short term experimental ML projects Excellent compensation, benefits, and career development opportunities This is an outstanding opportunity for a seasoned ML Software Engineer who enjoys solving hard engineering problems and delivering production AI capabilities that matter. Qualifications Senior (5+ years of experience) Company International Software Co

The Role As a Data Scientist in our Analytics Business Consulting practice, you will use your expertise in scientific data and healthcare knowledge to support the creation of meaningful business insights through data analytics, data science, and data visualization; answering critical business questions facing senior executives in global pharma today. What You'll Do Analyze data from Veeva Data Cloud and also external data Design, build, and maintain visualizations/dashboards/data pipelines to identify relevant data trends Leverage machine learning, NLP, GenAI, and other data science techniques to uncover insights Clearly and confidently describe the data structure and analytical approach you adopt to solve a specific business question Work in a collaborative cross-functional team delivering business-relevant data analytics and insights for pharma to support their R&D, pre-launch, launch, and post-launch strategies As required, present your findings and recommendations to senior stakeholders at pharma and justify your findings Support innovation and large-scale transformative insights projects Requirements Experience: MD/PhD/MSc with thorough understanding of scientific activities from medical experts (congresses, publications, etc.) Experience with data analytics and large/complex datasets Analytical Rigor: A strong mindset for both quantitative and qualitative reasoning Communication: Ability to articulate complex ideas clearly to senior stakeholders Education: Bachelor's degree or higher Nice to Have Experience with business intelligence tools (Tableau, Spotfire, PowerBI, Qlik, etc.) Experience with Python, prompt engineering, machine learning, or NLP Experience in structuring and successfully executing large and complex insights projects The Process Our process is different than most. It is designed to be fast, efficient and respectful. Here are the steps: You submit your resume, short cover letter of questions, and take a personality assessment Within 5-10 business days, we will notify you via email if we would like to go to the next step or not The next step is a 45-minute interview with a leader of the practice, followed by a job history interview and case exercise. You will have one week to prepare for the case exercise Within one week after the case exercise, we will give you an offer or let you know that we do not wish to move forward Perks & Benefits Compensation: Highly competitive salary and equity in Veeva Growth: Unrivalled career progression in a fast-growing, global team Flexibility: Veeva is a Work Anywhere company. You can work from home or the office on any given day As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at .

Assistant Data Analyst (Airlock) Application Deadline: 31 May 2026 Department: Data Policy Employment Type: Fixed Term Contract Location: Cheadle Reporting To: Airlock Platform Manager Compensation: £35,559 / year Description Help protect and enable one of the world's richest health research datasets. At UK Biobank, we manage the most widely used and most richly categorised database on human health in the world. Supporting over 20,000 researchers across more than 4,000 projects, our platforms enable scientific discoveries that help improve the understanding of disease, prevention, and treatment. As secure access to this data continues to grow, so does the importance of ensuring outputs can be reviewed safely, efficiently, and responsibly. This role sits at the centre of that process. As an Assistant Data Analyst, on a 12 month Fixed Term contract, you'll help support the development and operation of UK Biobank's 'airlock' capability a critical function within our Research Analysis Platform and Trusted Research Environment. Can you do it? This role combines data analysis, governance, and operational review within a highly secure research environment. You'll support the review of complex research outputs generated by researchers working across UK Biobank's platforms, helping ensure that valuable findings can be exported safely while protecting pseudonymised participant data. Alongside reviewing outputs, you'll help document processes, identify opportunities for automation and efficiency improvements, and contribute to the development of a capability that is still evolving across the wider research landscape. This is an opportunity to work closely with globally significant health data while helping establish something genuinely new and innovative. You will be responsible for: Playing a key role in establishing and running an effective airlock process to facilitate efficient export and import of data. Conducting the review of data outputs from the platform, alongside wider reviews such as public code repositories. Facilitating quick and efficient turn around times for responses on requests submitted by researchers. Identifying opportunities to streamline, automate processes and where possible improve policies and governance. Working with relevant subject matter experts or champions across UKB and the relevant Boards to help advise on issues related to the Airlock process. Is this you? To be successful, you will have: A degree in a scientific or numerate subject, or ability to demonstrate equivalent experience Experience with R and python, or another statistical software package, so that you are confident to run established code and perform minor modifications. Basic familiarity with healthcare data and structure and the ability to understand and interpret it appropriately Excellent with excellent attention to detail, with ability to prioritise workload and to work under pressure Ability to prepare and maintain detailed documentation. Working hours are 35-hours per week, Monday to Friday with some flexibility, 3 days onsite with hybrid working available. Located in Greater Manchester (Park Square). Our passion for diversity and equality means creating a work environment for all employees that is welcoming, respectful, engaging, and enriched with opportunities for personal and professional development. We actively welcome applications from people with disabilities, long-term health conditions, neurodivergent candidates, and those with diverse thinking styles. We are committed to making reasonable adjustments throughout our recruitment process and in the workplace so that everyone can perform at their best. If you require any adjustments during the recruitment process, please contact Tommy Wilson so we can support you. Your Wellbeing Matters to Us Our wellbeing score on Indeed is rated as 77%, (High) reflecting how people experience working here day to day. Colleagues often highlight a strong sense of purpose, supportive team culture, and the opportunity to grow. There's a real focus on learning, flexibility, and feeling valued whether that's developing new skills, contributing ideas, or building a career within Data Management. Benefits 26 Days' Annual Leave - Plus Bank Holidays Holiday Buy Scheme Birthday Leave USS Pension Scheme Healthcare Cash Plan Enhanced Family Leave Cycle to Work Scheme Season Ticket Loan Professional Subscriptions £500 annual training budget Free On Site Gym Subsidised Canteen Lunches Free Car Parking Employee Discounts Portal Employee Assistance Programme Annual Flu Vaccination Life Assurance Cover The job advert closing date may change, so early applications are encouraged.