26 to 50 of 92 Computational Biology Jobs in London

that bring the promise of personalised medicine closer than ever before. But after two decades of research, it's clear that genetic variation only tells part of the story – biology is dynamic and more complex than A, C, T, G. Already, the added information from a multiomic view of biology is yielding important insights into cancer, ageing, and … health and disease beyond canonical variation in DNA. biomodal is an omics-based life sciences technology and analytics company, delivering products that bring the dynamism of our ever-changing biology into focus. Our team is dedicated to developing the most advanced solutions to interrogate and understand the complex interplay of genomics and epigenomics. We have launched our first products … high growth biotechnology venture and make a real impact! The Team Our technology provides our customers with novel multi-modal information that will enable new scientific discoveries. Within the Computational Technology Department, Data Scientists are responsible for demonstrating the utility of our technology. They do this through the development of new methods to extract insights from the technology's 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 ❯

for my client, with a daily rate of £560 a day outside IR35 initially for 6 months. Essential Qualifications Bachelor’s and advanced degree (MSc or PhD) in bioinformatics, computational biology, statistics, or a related field with a strong academic record. Technical Expertise Strong problem-solving skills in bioinformatics and data science. Extensive experience in biomarker development and 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 ❯

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 software engineer. Demonstrated advanced programming expertise in Python and in developing and delivering … health records, clinical images). Research experience (e.g., Master's project, internship at research organization). 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 ❯

Senior Scientist, Computational Biology - London London, England, United Kingdom Your work will change lives. Including your own. The Impact You’ll Make As a key member of Recursion's portfolio-facing data science team, you will be at the forefront of reimagining drug discovery from first principles using Recursion’s massive data and compute capabilities. You will be … the primary computational lead for multiple preclinical or clinical-stage drug programs and can expect the freedom to collaboratively define and execute a research strategy that brings promising discoveries from hit-identification through clinical development. You will be responsible for the evaluation of therapeutic hypotheses using internal and external data sources to validate the link between proposed targets and … disease biology, guide multimodal SAR, decipher drug mechanism of action, and identify candidate biomarkers to measure in translational and clinical studies. You will partner with machine learning and computational scientists from across the organization to develop, deploy, and scale novel approaches to patient selection and indication expansion that match the medicines we are creating to the patients who More ❯

that bring the promise of personalised medicine closer than ever before. But after two decades of research, it's clear that genetic variation only tells part of the story - biology is dynamic and more complex than A, C, T, G. Already, the added information from a multiomic view of biology is yielding important insights into cancer, ageing, and … health and disease beyond canonical variation in DNA. biomodal is an omics-based life sciences technology and analytics company, delivering products that bring the dynamism of our ever-changing biology into focus. Our team is dedicated to developing the most advanced solutions to interrogate and understand the complex interplay of genomics and epigenomics. We have launched our first products … high growth biotechnology venture and make a real impact! The Team Our technology provides our customers with novel multi-modal information that will enable new scientific discoveries. Within the Computational Technology Department, Data Scientists are responsible for demonstrating the utility of our technology. They do this through the development of new methods to extract insights from the technology's 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 ❯

Relation is an end-to-end biotechnology 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 to drive disease understanding, from cause to … advanced machine learning techniques such as graph ML, recommender systems, and multi-agent reasoning to transform drug discovery. Meanwhile, the Ada team specialises in integrating single-cell transcriptomics and computational biology with machine learning to uncover pathways and understand disease mechanisms. This role places a strong emphasis on applying exceptional software engineering practices to develop and optimise our … our infrastructure supports experimentation at scale and delivers high-impact results for drug discovery. Your Responsibilities Collaborate with interdisciplinary teams, including machine learning scientists, bioinformaticians, and biologists, to advance computational tools for drug discovery. Develop and maintain data processing pipelines, research tools, and production code bases for efficient experimentation and analysis. Apply strong software engineering principles to optimise infrastructure More ❯

medical image analysis to detect patterns and trends in cancer growth. Improve the accuracy of already deployed ML models by implementing superior MLOps. Facilitate data-driven scientific discoveries in biology and healthcare. Build for significant growth and have the ability to scale challenges – achieving a high degree of robustness and performance. Background: M.Sc in computer science or engineering. A … TFX, Neptune.ai, MLflow, Weights & biases, etc. Previous experience working in computer vision or machine learning. Knowledge of digital pathology. Awareness and prior experience in Life Science and/or computational biology. Following your application, Mark Njiriri, a specialist AI recruiter, will discuss the opportunity with you in detail. He will be more than happy to answer any questions relating 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 ❯

your comfort zone, and provide you with an amazing opportunity for personal growth and technical development. What You Will Do Combine your expertise in bioinformatics/cheminformatics and structural biology with internal state-of-the-art ML models and representations to create creative solutions for the identification of novel drug targets, exploring new protein functions, selectivity, and characterising ligandability. … Design robust in silico experiments that evaluate platform performance at proteome-wide scales. Work closely with the Exploratory Sciences team to explore emerging chemical biology datasets and new modalities, with the potential of converting this work into new portfolio projects. Collaborate both internally and with third party organisations, interacting within multidisciplinary teams to support data-driven delivery of high … qualifications Experience developing or working with ML models and tools pertinent to drug discovery. Experience working with protein structures, peptides, and/or small molecule data. Ph.D in structural biology, bioinformatics, computational biology, chemistry, cheminformatics, or a related technical field, or equivalent experience. Broad knowledge of the current bioinformatics, computational biology, computational chemistry, cheminformatics 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 ❯

Scientist - Rosalind role at Relation 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 … cure. Machine Learning Scientist – Rosalind 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 … build the best possible models for advancing disease understanding. Your Responsibilities Develop and apply machine learning techniques to analyse genetic data and DNA models. Collaborate with experimental teams and computational biologists to design, test, and validate ML-driven hypotheses. Implement transformers and other ML techniques to address challenges in biological sequences, such as DNA modelling. Contribute to building foundational More ❯

In this role, you will collaborate with discovery teams and other data science functions to advance therapeutic programs in Immunology, Neuroscience, and Infectious Diseases/Vaccines, and to build computational pipelines to optimize data utilization. If you are passionate about data, energetic, and eager to develop your career in drug discovery, we invite you to join our diverse and … facilitate clinical translation. Collaborate across teams to build data science infrastructure and guide data transformation processes. Communicate analyses and strategies effectively to stakeholders and management. Upskill lab scientists in computational approaches to foster a data-driven culture. Minimum Qualifications Ph.D. in Pharmacology, Data Science, Biostatistics, Computational Biology/Chemistry, or a related field; or a Master’s More ❯

funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About us King's e-Research department supports cutting edge computational and data intensive research across all disciplines at the College by providing both infrastructure and expertise within our research community. On the infrastructure side, we provide High Performance Compute … PharosAI project (more information below). The e-Research team is a rapidly growing Department at King’s College London (KCL) which has been created to enable and facilitate computational and data-intensive research across the university. A core component of e-Research is supporting research through a Research Software Engineering function. Our team of Research Software Engineer s … RSEs ) elevate the level of computational- and data-science proficiency across campus, by: Contributing directly to software development underpinning research projects, Developing and delivering training on computational- and data-science skills, Providing guidance to PhD students and researchers developing their own code, and Establishing a community of developers of research software across the university The Research Software Engineering 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 ❯

Machine Learning Scientist – Ada London About Relation RRelation 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 … on solving complex problems in transcriptomics, pathway analysis, and gene regulatory modelling. The team you will become part of The Ada team specialises in using single-cell transcriptomics and computational biology to advance therapeutic discovery. By integrating biological data with machine learning techniques, the team develops innovative approaches to uncovering pathways and understanding disease mechanisms. Your responsibilities Develop … and apply machine learning techniques to gene regulation networks and cellular biology challenges. Collaborate with computational biologists and experimental teams to design and validate ML-driven hypotheses. Implement statistical and ML models for pathway analysis and single-cell transcriptomics. Contribute to the integration of machine learning methods within the lab-in-the-loop framework. Stay at the forefront More ❯