Ground Truth Labs Ltd.

Ground Truth Labs Ltd. is seeking a Machine Learning Scientist to develop spatial biology biomarkers for blood cancer. In this role, you will implement deep-learning models and work collaboratively with engineers and clinical experts to create impactful solutions. This opportunity invites someone enthusiastic about AI and eager to make a significant difference in healthcare. The position emphasizes innovative contributions and authorship in research publications. Expect remote work with periodic travel to London and Oxford for team collaboration.

Ground Truth Labs Ltd. is seeking a Machine Learning Scientist to develop spatial biology biomarkers for blood cancer. In this role, you will implement deep-learning models and work collaboratively with engineers and clinical experts to create impactful solutions. This opportunity invites someone enthusiastic about AI and eager to make a significant difference in healthcare. The position emphasizes innovative contributions and authorship in research publications. Expect remote work with periodic travel to London and Oxford for team collaboration.

Ground Truth Labs GTL is a well-funded, early-stage startup developing state-of-the-art digital technologies to better understand, diagnose and treat blood cancer patients. We have built an exceptional, small-by-design, interdisciplinary team to translate leading academic research into real impact on global health. Since 2023 we have made considerable progress in developing our technology, deploying our first generation of algorithms commercially with global biopharma companies, and working with world-leading academic medical centres to continue developing and validating new biomarker tools that improve patient outcomes. As a member of our small team, you will have the opportunity to help shape our journey and build on our principles of collaboration, focus, and invention. Your impact We are looking for a Machine Learning Scientist to play a critical role in the development of new spatial biology biomarkers for haemato-oncology. You will develop algorithms that make use of the latest machine learning and computer vision techniques to analyse the cell and tissue morphology at different scales. We expect that you have an enthusiasm for AI products and a track record of interesting projects in image analysis to match. This is a highly creative, fast-paced environment. Our teams are interdisciplinary, you will work alongside engineering and clinical science to build robust algorithms and to develop methodologies that drive clinical adoption. We are an early stage company, you will have the opportunity to drive the research direction, lead on new projects and make an impact across the organisation. The successful candidate will be able to identify, build, and champion algorithm products in key strategic areas for GTL. What you'll do Design, develop and implement advanced deep-learning models to extract valuable insights from histology imaging data Collaborate with cross-functional teams, including engineers, clinical experts, and product managers, to identify opportunities for data-driven solutions and interpretable algorithms that address clinical questions Develop and maintain scalable data pipelines and infrastructure to support data science projects. Manage product, software and clinical and regulatory inputs and requirements to translate research algorithms into clinical-grade tools suitable for use in the real world. Communicate results and insights to stakeholders and key decision-makers. As well as publicly in research publications and and conference abstracts. Stay up-to-date with the latest developments in the field of machine learning, medical imaging, and data science What you bring Essential PhD or equivalent practical experience in a technical field Experience and a track record of innovation in deep learning and statistical analyses Expertise in processing and analysing large image datasets using statistical methods Ability to work independently and as part of multidisciplinary team within in a fast-paced startup environment Strong communication and collaboration skills. Both remote (excellent written communication is key) and in-person Strong programming skills in Python and experience with PyTorch Nice to have Track record in computational pathology and/or single-cell transcriptomics analysis, sequencing Clinical background or knowledge of cancer biology Expertise in multimodality integration which includes histology data, clinical data, sequencing or other multi-omics Relevant research experience to the position such as post doctoral roles, a proven track record of publications, or contributions to machine learning codebases Opportunity This is an opportunity to join a small, high-calibre team and take ownership of foundational engineering work at a pivotal stage of company growth. You will work alongside talented machine learning scientists and engineers to build the platform that supports our research, partner delivery, and future products. The role is especially well suited to someone who enjoys building from the ground up, moving quickly, and having tangible impact across an organisation and field. Working environment We primarily work remotely with a strong emphasis on efficient processes that enable high-quality work across asynchronous teams. At the same time, we recognise the importance of spending time together in person to share knowledge, solve hard problems, and build strong working relationships. We therefore expect this role to involve regular travel to London and Oxford. Indicatively, a typical month may involve 2-8 in-person days. As a team, we value: Concise and engaged communication - we communicate clearly to work effectively in a remote setting. Pride in high-quality work - we pay attention to detail and deliver to the highest standard. A strategic approach - we think critically and creatively about complex issues. We identify the underlying patterns and leverage them to develop effective strategies Collaborative co-creation - we are open to diverse perspectives, bounce ideas off of each other, and build upon each other's strengths. Equality We welcome applications from all of society. We are committed to equal employment opportunity regardless of age; disability; gender reassignment; marriage and civil partnership; pregnancy and parental; race; religion or belief; sex; sexual orientation or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Impact This is an opportunity to join a rapidly growing startup in the AI space and make a real impact in the field of blood cancer. We are looking for software engineers who are thoughtful, rigorous, and committed to building reliable systems that matter. If you care about quality, ownership, and shipping robust products in fast-moving environments, we would love to hear from you. Please note that when you submit an application, your data will be processed in line with our privacy policy.

Ground Truth Labs Ltd. is seeking a Software Engineer - Platform in Greater London to develop critical software solutions for AI-enabled biomarker products. This role emphasizes building robust systems and involves collaboration with a multidisciplinary team. The ideal candidate has strong software engineering experience across backend and frontend systems, comfortable working in cloud environments and rapid development contexts. This position provides the opportunity to shape the company's core data and software platform.

Ground Truth Labs GTL is a well funded, early stage startup developing state of the art digital technologies to better understand, diagnose and treat blood cancer patients. We have built an exceptional, small by design, interdisciplinary team to translate leading academic research into real impact on global health. Since 2023 we have made considerable progress in developing our technology, deploying our first generation of algorithms commercially with global biopharma, and working with world leading academic medical centres to continue developing and validating new biomarker tools that improve patient outcomes. As a member of our small team, you will have the opportunity to help shape our journey and build on our principles of collaboration, focus, and invention. Your impact We are looking for a Software Engineer - Platform to play a critical role in the development of the core data and software platform underpinning our AI enabled biomarker products. This is a highly creative, fast paced environment. Our team is deeply interdisciplinary, and you will work closely with, leadership, machine learning scientists, software engineers and clinical scientists to build the systems that allow us to ingest, organise, serve and interact with complex clinical and imaging data. This is a high ownership role in a small company. You will help shape how data flows through the organisation, from hospital and biopharma collaborators into internal research and product workflows. The successful candidate will be excited by ambiguous problems, comfortable building from scratch, and motivated by creating robust, usable systems that accelerate scientific and product development. What you'll do Contribute production development across the core application stack, including backend services, APIs, data workflows and user facing internal tools. Design and build systems to ingest, organise and serve complex, multi modal datasets, including high resolution whole slide images, tabular clinical data and unstructured reports. Develop robust ETL and processing pipelines to support onboarding of new collaborator datasets quickly and reliably. Build thoughtful internal tools and interfaces that enable machine learning scientists and other technical users to access clean, well structured data fast. Contribute to schema and application design for evolving data models, where new data sources and formats must be integrated over time. Collaborate closely with machine learning scientists and engineers to support model development, deployment and evaluation workflows. Make critical architectural decisions across application, database and infrastructure layers, balancing speed, flexibility, reliability and scale. Help develop and operate our cloud based platform and data infrastructure, with a practical, cloud agnostic mindset. Work in a hands on way across the stack, debugging issues, improving developer workflows and shipping pragmatic solutions in a small team environment. What you bring Essential Strong software engineering experience across backend and frontend systems, with the ability to build and ship end to end products and internal tools. Experience designing and building APIs, application services and data intensive systems in production. Hands on experience working with databases and data pipelines, including designing schemas and handling messy real world data. Experience building systems that work across multiple data modalities, or with complex and evolving datasets. Comfortable working in cloud environments and deploying production infrastructure or services on at least one major cloud provider. Ability to work independently, take ownership and make progress in ambiguous, fast moving environments. A practical, builder mentality: you are comfortable getting stuck in, solving problems from first principles, and wearing multiple hats when needed. UK based or willing to relocate to the UK, with the ability to travel to London regularly. Nice to have Experience working with high resolution image data, medical data, scientific data, or other large and complex datasets. Experience building OCR, document extraction or other pipelines for unstructured records and reports. Experience across both relational and non relational databases. Experience with infrastructure as code, CI/CD and cloud native data services. Experience working in an early stage startup or similarly high ownership environment. Familiarity or an interest in healthcare, biotech, digital pathology, or machine learning enabled products. Experience with our chosen flavour tech stack (Python, MySQL, GCP, Azure) Opportunity This is an opportunity to join a small, high calibre team and take ownership of foundational engineering work at a pivotal stage of company growth. You will work alongside talented machine learning scientists and engineers to build the platform that supports our research, partner delivery, and future products. The role is especially well suited to someone who enjoys building from the ground up, moving quickly, and having tangible impact across an organisation and field. Working environment We primarily work remotely with a strong emphasis on efficient processes that enable high quality work across asynchronous teams. At the same time, we recognise the importance of spending time together in person to share knowledge, solve hard problems, and build strong working relationships. We therefore expect this role to involve regular travel to London and Oxford. Indicatively, a typical month may involve 2 8 in person days. As a team, we value: Concise and engaged communication - we communicate clearly to work effectively in a remote setting. Pride in high quality work - we pay attention to detail and deliver to the highest standard. A strategic approach - we think critically and creatively about complex issues. We identify the underlying patterns and leverage them to develop effective strategies Collaborative co creation - we are open to diverse perspectives, bounce ideas off of each other, and build upon each other's strengths. Equality We welcome applications from all of society. We are committed to equal employment opportunity regardless of age; disability; gender reassignment; marriage and civil partnership; pregnancy and parental; race; religion or belief; sex; sexual orientation or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Impact This is an opportunity to join a rapidly growing startup in the AI space and make a real impact in the field of blood cancer. We are looking for software engineers who are thoughtful, rigorous, and committed to building reliable systems that matter. If you care about quality, ownership, and shipping robust products in fast moving environments, we would love to hear from you. Please note that when you submit an application, your data will be processed in line with our privacy policy.

Ground Truth Labs GTL is a well-funded, early-stage startup developing state-of-the-art digital technologies to better understand, diagnose and treat blood cancer patients. We have built an exceptional, small-by-design, interdisciplinary team to translate leading academic research into real impact on global health. Since 2023 we have made considerable progress in developing our technology, deploying our first generation of algorithms commercially with global biopharma companies, and working with world-leading academic medical centres to continue developing and validating new biomarker tools that improve patient outcomes. As a member of our small team, you will have the opportunity to help shape our journey and build on our principles of collaboration, focus, and invention. Your impact We are looking for a Machine Learning Scientist to play a critical role in the development of new spatial biology biomarkers for haemato-oncology. You will develop algorithms that make use of the latest machine learning and computer vision techniques to analyse the cell and tissue morphology at different scales. We expect that you have an enthusiasm for AI products and a track record of interesting projects in image analysis to match. This is a highly creative, fast-paced environment. Our teams are interdisciplinary, you will work alongside engineering and clinical science to build robust algorithms and to develop methodologies that drive clinical adoption. We are an early stage company, you will have the opportunity to drive the research direction, lead on new projects and make an impact across the organisation. The successful candidate will be able to identify, build, and champion algorithm products in key strategic areas for GTL. What you'll do Design, develop and implement advanced deep-learning models to extract valuable insights from histology imaging data Collaborate with cross-functional teams, including engineers, clinical experts, and product managers, to identify opportunities for data-driven solutions and interpretable algorithms that address clinical questions Develop and maintain scalable data pipelines and infrastructure to support data science projects. Manage product, software and clinical and regulatory inputs and requirements to translate research algorithms into clinical-grade tools suitable for use in the real world. Communicate results and insights to stakeholders and key decision-makers. As well as publicly in research publications and and conference abstracts. Stay up-to-date with the latest developments in the field of machine learning, medical imaging, and data science What you bring Essential PhD or equivalent practical experience in a technical field Experience and a track record of innovation in deep learning and statistical analyses Expertise in processing and analysing large image datasets using statistical methods Ability to work independently and as part of multidisciplinary team within in a fast-paced startup environment Strong communication and collaboration skills. Both remote (excellent written communication is key) and in-person Strong programming skills in Python and experience with PyTorch Nice to have Track record in computational pathology and/or single-cell transcriptomics analysis, sequencing Clinical background or knowledge of cancer biology Expertise in multimodality integration which includes histology data, clinical data, sequencing or other multi-omics Relevant research experience to the position such as post doctoral roles, a proven track record of publications, or contributions to machine learning codebases Opportunity This is an opportunity to join a small, high-calibre team and take ownership of foundational engineering work at a pivotal stage of company growth. You will work alongside talented machine learning scientists and engineers to build the platform that supports our research, partner delivery, and future products. The role is especially well suited to someone who enjoys building from the ground up, moving quickly, and having tangible impact across an organisation and field. Working environment We primarily work remotely with a strong emphasis on efficient processes that enable high-quality work across asynchronous teams. At the same time, we recognise the importance of spending time together in person to share knowledge, solve hard problems, and build strong working relationships. We therefore expect this role to involve regular travel to London and Oxford. Indicatively, a typical month may involve 2-8 in-person days. As a team, we value: Concise and engaged communication - we communicate clearly to work effectively in a remote setting. Pride in high-quality work - we pay attention to detail and deliver to the highest standard. A strategic approach - we think critically and creatively about complex issues. We identify the underlying patterns and leverage them to develop effective strategies Collaborative co-creation - we are open to diverse perspectives, bounce ideas off of each other, and build upon each other's strengths. Equality We welcome applications from all of society. We are committed to equal employment opportunity regardless of age; disability; gender reassignment; marriage and civil partnership; pregnancy and parental; race; religion or belief; sex; sexual orientation or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Impact This is an opportunity to join a rapidly growing startup in the AI space and make a real impact in the field of blood cancer. We are looking for software engineers who are thoughtful, rigorous, and committed to building reliable systems that matter. If you care about quality, ownership, and shipping robust products in fast-moving environments, we would love to hear from you. Please note that when you submit an application, your data will be processed in line with our privacy policy.