16 of 16 Permanent Computational Biology Jobs in England

all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos The Altos Labs Institute of Computation (IoC) is seeking an independent and highly motivated Computational Biology Scientist to build, maintain, and support our hybrid AI initiative to model cellular processes. The position will work in a multi-disciplinary research environment to assist investigators … mathematical models toward understanding mechanistic aspects of cellular processes with all experimental labs at Altos Labs. The ideal candidate is particularly interested in multi-scale (systems) biochemistry and molecular biology of reprogramming, a dynamic field that seeks to understand complex biological systems by integrating data about biochemical components and help design interventions that direct cellular states along desired trajectories. … of closing the feedback loop between experimental and theoretical work, at multiple scales, from molecules to cells, tissues and even whole organisms. Working at the interface between mathematical and computational models, and AI methods, with the aim of establishing design principles of rejuvenated cells. Collaborating with both experimental and computational scientists across Altos. Influence best practices in areas More ❯

cutting-edge biological AI models and deploying them to researchers advancing the life sciences. Applied Research Scientists at InstaDeep leverage their deep expertise in scientific principles, artificial intelligence, and computational biology to create more accurate, efficient, and scalable tools that enhance our understanding of biology and accelerate the development of medical treatments, including RNA therapeutics. This position … demands close collaboration across AI research, biology, engineering, and business teams, as well as with strategic partners like BioNTech. Success in this role requires a passion for bridging the gap between theoretical innovation and real-world application, and the ability to thrive in a highly collaborativecross-functional environment. Responsibilities Advance the state of the art in AI and/… in areas such as RNA design, optimisation and modelling. Design, implement, and evaluate proof-of-concept methods and benchmarking experiments using state-of-the-art approaches. Leverage both classical computational biology tools and modern deep learning approaches for tasks such as RNA design, optimization, and molecular modeling. Enhance the understanding of AI model behavior in biological applications by More ❯

talented and driven Bioinformatics Data Scientist to join our multidisciplinary research team. This role is ideal for someone with a strong background in bioinformatics and a passion for applying computational methods to advance cancer immunotherapy. You will play a key role in developing and deploying scalable workflows to analyse high-dimensional omics data, helping uncover novel targets and biomarkers … RNA seq. Analyse complex datasets from cancer immunotherapy studies to identify therapeutic targets, immune signatures, and predictive biomarkers. Collaborate closely with immunologists, molecular biologists, and data scientists to translate computational findings into actionable insights. Apply machine learning techniques to discovery or translational research. Contribute to scientific publications, internal reports, and presentations that drive strategic decisions. Required Qualifications and experience … PhD or MSc in Computational Biology, Bioinformatics, Systems Biology, or a related field. Proven experience in oncology and omics data analysis. Proficiency in Python and workflow management tools such as Nextflow. Strong statistical and data visualization skills. Familiarity with public datasets (e.g., TCGA, GTEx, Human Cell Atlas) and cloud-based computing environments. Strong communication and organizational skills More ❯

skills Nice to Have: Exposure to biotech, life sciences, or cellular imaging domains Experience with ONNX , or deployment of models to production environments A passion for applying AI to biology or scientific data Knowledge of cell line development or biological assay workflows 💡 You’ll Thrive Here If You... Are curious, methodical, and excited by scientific challenges Enjoy end-to … to detail Want to be part of a collaborative, forward-thinking team building real-world tools that matter 🎓 Qualifications MSc or higher in Computer Science, AI/ML, Physics, Computational Biology, or related field OR equivalent industry experience building and deploying ML models in scientific or technical domains 📍 Working Arrangements Hybrid role with minimum During your probation up More ❯

of deep learning technologies. Roles are available for both recent graduates and senior profiles. Generative foundation models like ESM-3 1 , AlphaFold 2 , RFDiffusion 3 , ProteinMPNN 4 are revolutionising computational biology and in silico drug design; and InstaDeep is leading the way in developing the next generation of technologies and applications (see as examples, Nucleotide Transformer 6 and … effective sampling algorithms for both conditional and unconditional generation. Develop Biological Foundation Models Contribute to the creation of new models that push the boundaries of what's possible in computational biology. Collaborate Across Disciplines Work closely with Machine Learning Engineers, Research Engineers, Computational Biologists, and other experts. Leverage Cutting-Edge Resources Utilise our near-exascale supercomputing cluster, Kyber More ❯

to-end pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data scientist. Strong skills in Python, with experience in backend development and unit More ❯

to-end pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data scientist. Strong skills in Python, with experience in backend development and unit More ❯

to-end pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data scientist. Strong skills in Python, with experience in backend development and unit More ❯

to-end pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data scientist. Prior experience carrying out user research for software development. Knowledge of More ❯

to-end pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data scientist. Prior experience carrying out user research for software development. Knowledge of More ❯

Backend | Infrastructure) Location: Hybrid - 2-3 days in London Office Compensation: Up to £170,000 + equity We’re working with a frontier AI lab pushing the boundaries of computational biology, combining machine learning, cloud infrastructure, and scientific research to accelerate discoveries in life sciences. As a Staff Backend Engineer , you’ll build the distributed systems and data … infrastructure that power the lab’s next-generation biology platform. From model serving to real-time data processing, your work will form the backbone of a platform enabling scientists to explore and manipulate biological data in entirely new ways. What you’ll do Design and own backend architecture for large-scale, data-intensive applications. Develop and optimize APIs that … . This is a rare opportunity to join a deep-tech AI lab where backend engineering meets scientific discovery, building the systems that let machine learning models and experimental biology evolve together. If you want to design the infrastructure behind a platform that could change how we understand life itself, we’d love to hear from you. More ❯

Backend | Infrastructure) Location: Hybrid - 2-3 days in London Office Compensation: Up to £170,000 + equity We’re working with a frontier AI lab pushing the boundaries of computational biology, combining machine learning, cloud infrastructure, and scientific research to accelerate discoveries in life sciences. As a Staff Backend Engineer , you’ll build the distributed systems and data … infrastructure that power the lab’s next-generation biology platform. From model serving to real-time data processing, your work will form the backbone of a platform enabling scientists to explore and manipulate biological data in entirely new ways. What you’ll do Design and own backend architecture for large-scale, data-intensive applications. Develop and optimize APIs that … . This is a rare opportunity to join a deep-tech AI lab where backend engineering meets scientific discovery, building the systems that let machine learning models and experimental biology evolve together. If you want to design the infrastructure behind a platform that could change how we understand life itself, we’d love to hear from you. More ❯

Backend | Infrastructure) Location: Hybrid - 2-3 days in London Office Compensation: Up to £170,000 + equity We’re working with a frontier AI lab pushing the boundaries of computational biology, combining machine learning, cloud infrastructure, and scientific research to accelerate discoveries in life sciences. As a Staff Backend Engineer , you’ll build the distributed systems and data … infrastructure that power the lab’s next-generation biology platform. From model serving to real-time data processing, your work will form the backbone of a platform enabling scientists to explore and manipulate biological data in entirely new ways. What you’ll do Design and own backend architecture for large-scale, data-intensive applications. Develop and optimize APIs that … . This is a rare opportunity to join a deep-tech AI lab where backend engineering meets scientific discovery, building the systems that let machine learning models and experimental biology evolve together. If you want to design the infrastructure behind a platform that could change how we understand life itself, we’d love to hear from you. More ❯

Backend | Infrastructure) Location: Hybrid - 2-3 days in London Office Compensation: Up to £170,000 + equity We’re working with a frontier AI lab pushing the boundaries of computational biology, combining machine learning, cloud infrastructure, and scientific research to accelerate discoveries in life sciences. As a Staff Backend Engineer , you’ll build the distributed systems and data … infrastructure that power the lab’s next-generation biology platform. From model serving to real-time data processing, your work will form the backbone of a platform enabling scientists to explore and manipulate biological data in entirely new ways. What you’ll do Design and own backend architecture for large-scale, data-intensive applications. Develop and optimize APIs that … . This is a rare opportunity to join a deep-tech AI lab where backend engineering meets scientific discovery, building the systems that let machine learning models and experimental biology evolve together. If you want to design the infrastructure behind a platform that could change how we understand life itself, we’d love to hear from you. More ❯

Backend | Infrastructure) Location: Hybrid - 2-3 days in London Office Compensation: Up to £170,000 + equity We’re working with a frontier AI lab pushing the boundaries of computational biology, combining machine learning, cloud infrastructure, and scientific research to accelerate discoveries in life sciences. As a Staff Backend Engineer , you’ll build the distributed systems and data … infrastructure that power the lab’s next-generation biology platform. From model serving to real-time data processing, your work will form the backbone of a platform enabling scientists to explore and manipulate biological data in entirely new ways. What you’ll do Design and own backend architecture for large-scale, data-intensive applications. Develop and optimize APIs that … . This is a rare opportunity to join a deep-tech AI lab where backend engineering meets scientific discovery, building the systems that let machine learning models and experimental biology evolve together. If you want to design the infrastructure behind a platform that could change how we understand life itself, we’d love to hear from you. More ❯

opening opportunities to treat targets previously deemed intractable. Our recently announced $600M research collaboration with Novo Nordisk aims to develop next-generation therapeutics for obesity management. Metaphore combines deep biology, cutting-edge computation, and visionary execution to create breakthrough medicines that can change patient outcomes on a global scale. Flagship Pioneering is a bioplatform innovation company that invents and … design, deployment, and continuous improvement of a modern informatics stack for data capture, analysis, and sharing across teams. Ensure operational systems and digital infrastructure are optimized to support advanced computational models, including machine learning and AI-driven drug discovery. R&D Operations Excellence Build and manage an operational framework that enables scientists to seamlessly execute complex experimental programs with … discovery value chain, eliminating bottlenecks and enhancing reproducibility. Develop robust capacity planning and resource allocation processes to enable parallelized program execution. Leadership, Development & Strategic Collaboration Partner closely with discovery, computational, and leadership teams to align operational capabilities with scientific priorities. Manage and expand external relationships with technology providers, automation vendors, CROs, and academic collaborators. Build and lead a multidisciplinary More ❯