24 of 24 Computational Biology Jobs in London

strategy. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: 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. Demonstrated programming expertise in Python and experience working with different types … plus: Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images). Contributions to relevant open-source projects. A background or interest in drug discovery, biology, medicine or ethics. Closing Date for Applications: Thursday 19th June 2025 (COB) Please take a copy of the Job Description, as this will not be available post closure of More ❯

a successful Series B funding round (£47 million), we are expanding our AI capabilities to develop state-of-the-art models and algorithms that will shape the future of biology and bioengineering. This is a unique opportunity to lead a high-performing AI team, influence partnerships with global technology leaders, and build on an exceptional data infrastructure that is … Shape and execute a long-term AI strategy rooted in novel biological data and real-world application Essential A postgraduate degree (PhD or MSc) in Computer Science, Machine Learning, Computational Biology or a related field At least 5 years of industry experience in AI/ML research or engineering, with a minimum of 4 years in a technical … leadership role or 3 years in people management A strong publication record or equivalent practical expertise in areas such as generative AI, deep learning, or computational biology Proven experience applying AI techniques to biological challenges, particularly in areas like protein design or genomics Demonstrated success in leading high-impact AI projects and delivering real-world solutions Exceptional communication More ❯

a successful Series B funding round (£47 million), we are expanding our AI capabilities to develop state-of-the-art models and algorithms that will shape the future of biology and bioengineering. This is a unique opportunity to lead a high-performing AI team, influence partnerships with global technology leaders, and build on an exceptional data infrastructure that is … Shape and execute a long-term AI strategy rooted in novel biological data and real-world application Essential A postgraduate degree (PhD or MSc) in Computer Science, Machine Learning, Computational Biology or a related field At least 5 years of industry experience in AI/ML research or engineering, with a minimum of 4 years in a technical … leadership role or 3 years in people management A strong publication record or equivalent practical expertise in areas such as generative AI, deep learning, or computational biology Proven experience applying AI techniques to biological challenges, particularly in areas like protein design or genomics Demonstrated success in leading high-impact AI projects and delivering real-world solutions Exceptional communication More ❯

high-throughput imaging pipelines to identify biomarkers and therapeutic targets. Present findings in internal meetings and contribute to scientific publications and conferences. Stay up to date with advancements in computational oncology, machine learning, and data science methodologies. Manage multiple projects simultaneously and ensure timely, high-quality deliverables. Must-Haves: MSc/PhD in data science, computational biology … with relational and non-relational databases. Strong written and verbal communication skills and the ability to present complex analyses to a diverse audience. Nice-to-Haves: Understanding of cancer biology, target identification, and drug response modeling. Experience working as an applied scientist or closely with wet-lab biologists. Experience with collaborative coding and version control (ideally GitHub). Experience More ❯

stakeholders. Grow Together: Contribute to and grow with a team of expert data scientists. What you'll bring to the team - Education: Bachelor's in Data Science, Computer Science, Computational Biology, Bioinformatics, Statistics, or a related field, with 3+ years of relevant experience OR a Graduate degree in these fields with 0-3 years of experience. Strong background … complex problems. Hands-on experience with graph engines such as Neo4J is a plus. A demonstrated track record of success in fast-paced environments. Professional or academic experience in biology, chemistry, or drug discovery is highly valued. Compensation & Benefits - Your paycheck: Competitive salary based on experience, ranging from £50,000 - £90,000 annually. Health and wellness: Comprehensive plans with More ❯

thought leadership and mentorship within the team Represent Basecamp Research's AI capabilities at conferences, publications, and collaborations About You (Required): A graduate degree in Computer Science, Machine Learning, Computational Biology, or related field 5+ years in AI/ML research or engineering, with at least 4 years in a technical leadership role or 3 years in management … Strong publication record or expertise in generative AI, deep learning, or computational biology Experience applying AI to biological problems, especially protein design or genomics Proven success in leading AI research projects and translating research into applications Excellent communication skills for diverse audiences Experience training large generative models on HPC GPUs or cloud platforms (AWS, Lambda, Azure) Strong problem More ❯

and production needs Provide thought leadership and mentorship within the team Represent Basecamp Research at conferences, publications, and collaborations About You (Required): Graduate degree in Computer Science, Machine Learning, Computational Biology, or related field 5+ years in AI/ML research or engineering, with at least 4 years in a technical lead or 3 years in management Strong … publication record or expertise in generative AI, deep learning, or computational biology Experience applying AI to biological problems, especially protein design or genomics Proven success in leading AI research and translating it into practical applications Excellent communication skills for diverse audiences Experience training large generative models on HPC GPUs or cloud platforms like AWS, Lambda, Azure Strong problem More ❯

Associate Director/Principal Scientist Computational Biology How to apply Please send your CV, quoting Associate Director/Principal Scientist Computational Biology in the subject line to Job Description: Associate Director/Principal Scientist Computational Biology Company Description NeoPhore is a biotech company targeting the dynamics of cancer neoantigen evolution through inhibition of the … the University of Turin and Milan. NeoPhore currently has 13 full time employees and operates a mainly virtual drug discovery & development model. We have a dedicated internal Cancer Cell Biology (CCB) laboratory based at City St George's University, in South London, where most of the innovative Biology associated with the progression of a first-in-class molecule … is being performed. An opportunity has arisen for a genomics next generation sequencing ("NGS") expert and talented Computational Biologist to join our team. Role Description Summary NeoPhore is seeking an experienced, independent, highly motivated, rigorous, and resilient computational biologist to lead our computational biology and bioinformatics function. A background in (immuno-)oncology is essential along with 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 ❯

Company Introduction CC Bio is an award-winning synthetic biology company, which has been a subsidiary of a clinical stage global parent company, Precisio Biotix Inc. since 2024. We are based in state-of-the-art facilities at the Imperial Translation and Innovation Hub (iHUB), West London. At CC Bio, we discover, engineer and develop potent and specific antimicrobial … enzymes for use as next generation therapeutics. By leveraging the combined power of systems biology, synthetic biology and microbiology, we are engineering this new class of efficacious enzymes to improve patient outcomes worldwide in the fight against antimicrobial resistance. We combine sophisticated and proprietary ML-based protein discovery and engineering platforms with high throughput screening capabilities, positioning us … as a world leader in enzyme design. Description of Your Role We are seeking a motivated computational biologist to join the CC Bio team in August 2025 for a 24-month prestigious grant funded project. This role will be within a growing team at our London-based laboratory. You will be an integral member of the experimental team, working More ❯

Company Introduction CC Bio is an award-winning synthetic biology company, which has been a subsidiary of a clinical stage global parent company, Precisio Biotix Inc. since 2024. We are based in state-of-the-art facilities at the Imperial Translation and Innovation Hub (iHUB), West London. At CC Bio, we discover, engineer and develop potent and specific antimicrobial … enzymes for use as next generation therapeutics. By leveraging the combined power of systems biology, synthetic biology and microbiology, we are engineering this new class of efficacious enzymes to improve patient outcomes worldwide in the fight against antimicrobial resistance. We combine sophisticated and proprietary ML-based protein discovery and engineering platforms with high throughput screening capabilities, positioning us … as a world leader in enzyme design. Description of Your Role We are seeking a motivated computational biologist to join the CC Bio team in August 2025 for a 24-month prestigious grant funded project. This role will be within a growing team at our London-based laboratory. You will be an integral member of the experimental team, working More ❯

will partner closely with the leaders of Onyx's customer organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power AI/ More ❯

scaling them across massive, complex biological datasets. Lead high-impact experiments, effectively navigating signal-to-noise in large-scale biological data. Collaborate closely with interdisciplinary teams, bridging AI research, computational biology, and experimental scientists. Publish influential research in leading journals and conferences, establishing thought leadership in BioAI. Mentor researchers, building a vibrant, collaborative, and scientifically rigorous culture. Expected … infrastructure, and current foundation-model architecture. Formulating clear hypotheses and a prioritized roadmap for foundational model research, including immediate experimental directions. Establishing close relationships with interdisciplinary teams (ML engineers, computational biologists, experimental scientists), ensuring effective collaboration. In 3 months you directly own and have created: A prototype or early iteration of a novel AI foundation model specifically designed or More ❯

Data Scientist - Single Cell London About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning … you will contribute advanced data analysis and domain expertise to challenge ML models that aim to predict and explain cellular decision-making in disease. Your responsibilities Develop and implement computational workflows for integrating and analysing multi-omics data. Design statistical models for analysing transcriptomics and other omics datasets. Use domain and data insights to design meaningful and challenging evaluation … tasks for ML models. Collaborate closely with ML modellers to develop model architectures. Collaborate with experimental teams to design and validate computational hypotheses. Present findings and methodologies to internal stakeholders and contribute to publications. Professionally, you have PhD in computational biology, bioinformatics, or a related quantitative field. Extensive experience in multi-omics data analysis, including transcriptomics. Proficiency More ❯

the first clinical pilot by delivering accuracy & traceability gains over incumbent LLM baselines. We’ll Be Excited If You Have PhD/D.Phil. (or equivalent depth) in Physics, CS, Computational Biology or similar, with peer-reviewed research or patented work. 10 + years engineering leadership; 5 + years building AI/ML or data platforms at scale. Proven More ❯

the first clinical pilot by delivering accuracy & traceability gains over incumbent LLM baselines. We’ll Be Excited If You Have PhD/D.Phil. (or equivalent depth) in Physics, CS, Computational Biology or similar, with peer-reviewed research or patented work. 10 + years engineering leadership; 5 + years building AI/ML or data platforms at scale. Proven More ❯

in bioinformatics computing coding, in languages including R, Python and other scripting languages as is appropriate. Experience of using high performance computing (HPC) systems for scientific computing. Experience of computational biology research methodologies pertinent to the role. Department/Directorate Information The Data Science Committee is chaired by Professor Trevor Graham, providing academic leadership of data science at More ❯

Job summary About the role: Help us see cancer like never before. We are looking for a keen and collaborative postdoctoral with a background in computational biology or bioinformatics to join an exciting new joint project between the UCL institute and HSL Pathology Ltd. This is a unique chance to work on T-Cell lymphomas, using spatial transcriptomics … to explore tumour biology in unprecedented detail. You will be based the Halo Building in the heart of the Kings Cross Knowledge Quarter, working alongside HSL specialised Laboratory scientists and UCL research team led by Professor Tariq Enver, Dr Rajeev Gupta and Dr Sam Marguerat. Whats the project about? This role focuses on understanding the biology of T … Cell using spatial transcriptomics and high dimensional data. You will: Generating and analysing large spatial transcriptomics datasets from clinical samples. Collaborate with laboratory scientists to bring together computational and experimental data. Carry out meta- analysis of flow cytometry datasets across a broader patient cohort. Contribute to identifying new biomarkers and exploring spatial tech in diagnostics. Main duties of the More ❯

learning researchers with strong expertise in generative modeling is sought to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. The team collaborates to transform how biology is controlled and diseases are cured. The role involves architecting innovative generative models aimed at designing new proteins that demonstrate functionality in wet lab assays. This company specializes in … developing generative AI models for synthetic biology, focusing on designing and reprogramming biological systems, including gene editing technologies to enable treatments for complex genetic diseases. Operating at the intersection of AI and biology, the team is driven by innovation, curiosity, and a commitment to creating significant positive global impact. Requirements Expertise in generative modeling: The ideal candidate has … global impact, they approach problems with relentless curiosity and adaptability. Adaptability in dynamic environments: They thrive in fast-paced settings, achieving goals efficiently and effectively. Desired Qualifications Experience in computational biology or protein design: Experience with ML-driven projects in biology is advantageous. Natural science background: Academic training in fields like physics, biology, or chemistry is More ❯

learning researchers with strong expertise in generative modeling is sought to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. The team collaborates to transform how biology is controlled and diseases are cured. The role involves architecting innovative generative models aimed at designing new proteins that demonstrate functionality in wet lab assays. This company specializes in … developing generative AI models for synthetic biology, focusing on designing and reprogramming biological systems, including gene editing technologies to enable treatments for complex genetic diseases. Operating at the intersection of AI and biology, the team is driven by innovation, curiosity, and a commitment to creating significant positive global impact. Requirements Expertise in generative modeling: The ideal candidate has … global impact, they approach problems with relentless curiosity and adaptability. Adaptability in dynamic environments: They thrive in fast-paced settings, achieving goals efficiently and effectively. Desired Qualifications Experience in computational biology or protein design: Experience with ML-driven projects in biology is advantageous. Natural science background: Academic training in fields like physics, biology, or chemistry is More ❯

learning researchers with strong expertise in generative modeling is sought to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. The team collaborates to transform how biology is controlled and diseases are cured. The role involves architecting innovative generative models aimed at designing new proteins that demonstrate functionality in wet lab assays. This company specializes in … developing generative AI models for synthetic biology, focusing on designing and reprogramming biological systems, including gene editing technologies to enable treatments for complex genetic diseases. Operating at the intersection of AI and biology, the team is driven by innovation, curiosity, and a commitment to creating significant positive global impact. Requirements Expertise in generative modeling: The ideal candidate has … global impact, they approach problems with relentless curiosity and adaptability. Adaptability in dynamic environments: They thrive in fast-paced settings, achieving goals efficiently and effectively. Desired Qualifications Experience in computational biology or protein design: Experience with ML-driven projects in biology is advantageous. Natural science background: Academic training in fields like physics, biology, or chemistry is More ❯

the week of 21 July 2025. A full job description and person specification for this role can be accessed below. About you You will have a MSc in bioinformatics, computational biology, computer science, statistical genetics or a discipline with skills transferrable to these domains, or equivalent experience. Experience with data integration, manipulation, and harmonisation is essential as is More ❯

in bioinformatics, computing, and coding in languages such as R, Python, and other scripting languages as appropriate. Experience using high-performance computing (HPC) systems for scientific research. Experience with computational biology research methodologies relevant to the role. Department/Directorate Information The Data Science Committee, chaired by Professor Trevor Graham, provides academic leadership in data science at the … ICR. It aims to maximize the impact of cancer research through innovative data science and computational tools, and to ensure the necessary infrastructure is in place. What we offer A dynamic and supportive research environment Access to state-of-the-art facilities and professional development opportunities Collaboration with leading researchers in the field Competitive salary and pension We encourage More ❯

Team The mission of the Chem/Bio team is to equip policymakers with an empirical understanding of safety-relevant AI capabilities, specifically at the intersection of AI with biology and chemistry. The team studies AI capabilities including (but not limited to) providing detailed instructions and (multimodal) troubleshooting for chemical or biological lab work, designing new or modified biological … scientific R&D pipeline. You will collaborate closely with other Research Engineers and receive coaching and mentorship from a Research Scientist with a mixed background in machine learning and biology, as well as our workstream lead who is an established expert in biosecurity. Your day-to-day work may involve: Develop and improve pipelines and frameworks to streamline our … if you have some of the following skills, experience and attitudes: Relevant experience in industry, open-source collectives, or academia in a field related to machine learning, AI or computational biology. Experience in writing production-level code that is scalable, robust and easy to maintain, ideally in Python. Knowledge of scaffolding, prompting and/or evaluating large language models. More ❯