1 to 25 of 93 Computational Biology Jobs in London

ago Birmingham, England, United Kingdom 1 week ago London, England, United Kingdom 10 months ago Manchester, England, United Kingdom 1 week ago Midlothian, Scotland, United Kingdom 2 weeks ago Computational Biology & Machine Learning Scientist London, England, United Kingdom 4 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started More ❯

Social network you want to login/join with: Computational Biology & Machine Learning Scientist, london col-narrow-left Client: Skills Alliance Location: london, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 1 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Computational Scientist – Machine Learning & Immunology & Biologics A cutting-edge … biotech organization is seeking highly motivated Computational Scientists to support the mission of decoding and engineering the immune system. The role focuses on developing advanced machine learning and statistical models to analyze complex biological data, particularly immune repertoires and multimodal datasets. About the Role As part of a collaborative Computational Biology team, you will: Design and implement … machine learning models—particularly language models, diffusion models, or graph neural networks —tailored to biomedical challenges. Build novel computational methods for interpreting biological sequences and structural data . Customize existing tools and develop new ones for integrative analysis and visualization of large-scale systems immunology data . Drive ML-based pipelines for diagnostic or therapeutic design . Benchmark computational More ❯

Social network you want to login/join with: Computational Biology & Machine Learning Scientist, south west london col-narrow-left Client: Skills Alliance Location: south west london, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 1 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Computational Scientist – Machine Learning & Immunology … Biologics A cutting-edge biotech organization is seeking highly motivated Computational Scientists to support the mission of decoding and engineering the immune system. The role focuses on developing advanced machine learning and statistical models to analyze complex biological data, particularly immune repertoires and multimodal datasets. About the Role As part of a collaborative Computational Biology team, you … will: Design and implement machine learning models—particularly language models, diffusion models, or graph neural networks —tailored to biomedical challenges. Build novel computational methods for interpreting biological sequences and structural data . Customize existing tools and develop new ones for integrative analysis and visualization of large-scale systems immunology data . Drive ML-based pipelines for diagnostic or therapeutic More ❯

and other biological data types (e.g., molecular, transcriptomics, biomedical literature). Define the strategy for applying generative AI in early-stage drug discovery, collaborating with cross-functional teams across biology, chemistry, and data science. Stay current with the latest research in computer vision, deep learning, representation learning, and multi-modal data integration. Communicate findings through reports, presentations, and scientific … publications to both internal and external stakeholders. Build and maintain collaborations with academic institutions and industry partners. Must Haves: PhD in Computer Science, Bioinformatics, Computational Biology, Physics, or a related field. Professional hands-on experience with pretraining or fine-tuning foundation models for computer vision tasks. Strong publication record in top-tier ML/CV conferences (e.g., CVPR … high-throughput data , or single-cell RNA sequencing. Familiarity with cloud computing platforms (e.g., AWS, Azure, Nvidia DGX Cloud) for large-scale model training and deployment. Knowledge of systems biology, biophysics, or causal inference in computational biology. Ability to write well-tested, well-documented code following best practices in machine learning and software engineering. #J-18808-Ljbffr More ❯

Research Scientist, Machine Learning, London Isomorphic Labs is a new Alphabet company that is reimagining drug discovery through a computational- and AI-first approach. We are on a mission to accelerate the speed, increase the efficacy and lower the cost of drug discovery. You'll be working at the cutting edge of the new era of 'digital biology … to the organisation’s success. You will draw upon your existing deep research experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology and chemistry problems. Depending on your experience: You will create and lead projects, bringing together a variety of disciplined scientists and engineers to pursue some of the … to the position such as post doctoral roles, a proven track record of publications, or contributions to machine learning codebases. Experience working in a scientific environment across disciplines (particularly biology, chemistry, physics). Experience working with biological or chemical data and biological or chemistry software. Experience working with real-world datasets. Experience with ML on accelerators. Experience in any More ❯

lifecycle from requirements capture to planning and execution. Stay informed about advancements in relevant scientific research and apply this knowledge to your work. Capabilities: Master’s or PhD in Computational Biology (e.g., Bioinformatics) or Artificial Intelligence applied to scientific problem-solving. Proven track record of impactful contributions to scientific projects. Advanced proficiency in Python or experience with other … of the following areas: Artificial Intelligence: Experience with state-of-the-art methods such as graph neural networks, transformers, Gaussian processes, generative modeling, or reinforcement learning. Bioinformatics: Knowledge of biology data storage, formats, and protein-structure prediction; proficiency with toolkits such as BioPython Protein Dynamics: Experience applying MD techniques to protein-protein interactions including using toolkits (e.g., OpenMM, Rosetta … Integrative structural modelling: Experience integrating structural data, e.g. CryoEM or HDX-MS with computational models in automated ways Experience with data curation and processing from heterogeneous sources; familiarity with tools like Apache Spark or Hadoop. Proficiency with cloud platforms (AWS, GCP, Azure). Familiarity with major machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Open-source contributions or More ❯

to the organisation’s success. You will draw upon your existing deep research experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology and chemistry problems. Depending on your experience: You will create and lead projects, bringing together a variety of disciplined scientists and engineers to pursue some of the … to the position such as post doctoral roles, a proven track record of publications, or contributions to machine learning codebases. Experience working in a scientific environment across disciplines (particularly biology, chemistry, physics). Experience working with biological or chemical data and biological or chemistry software. Experience working with real-world datasets. Experience with ML on accelerators. Experience in any More ❯

and other biological data types (e.g., molecular, transcriptomics, biomedical literature). Define the strategy for applying generative AI in early-stage drug discovery, collaborating with cross-functional teams across biology, chemistry, and data science. Stay current with the latest research in computer vision, deep learning, representation learning, and multi-modal data integration. Communicate findings through reports, presentations, and scientific … publications to both internal and external stakeholders. Build and maintain collaborations with academic institutions and industry partners. Must Haves: PhD in Computer Science, Bioinformatics, Computational Biology, Physics, or a related field. High level of enterprise experience working in Computer Vision and SME experience in three key fields: Self-supervised learning Vision transformers. Professional hands-on experience with pretraining … throughput data generation, or single-cell RNA sequencing. Familiarity with cloud computing platforms (e.g., AWS, Azure, Nvidia DGX Cloud) for large-scale model training and deployment. Knowledge of systems biology, biophysics, or causal inference in computational biology. Publication record in top-tier ML/CV conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML). #J-18808-Ljbffr More ❯

and other biological data types (e.g., molecular, transcriptomics, biomedical literature). Define the strategy for applying generative AI in early-stage drug discovery, collaborating with cross-functional teams across biology, chemistry, and data science. Stay current with the latest research in computer vision, deep learning, representation learning, and multi-modal data integration. Communicate findings through reports, presentations, and scientific … publications to both internal and external stakeholders. Build and maintain collaborations with academic institutions and industry partners. Must Haves: PhD in Computer Science, Bioinformatics, Computational Biology, Physics, or a related field. High level of enterprise experience working in Computer Vision and SME experience in three key fields: Self-supervised learning Vision transformers. Professional hands-on experience with pretraining … throughput data generation, or single-cell RNA sequencing. Familiarity with cloud computing platforms (e.g., AWS, Azure, Nvidia DGX Cloud) for large-scale model training and deployment. Knowledge of systems biology, biophysics, or causal inference in computational biology. Publication record in top-tier ML/CV conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML). #J-18808-Ljbffr More ❯

collaborative environments and is committed to enabling colleagues to reach their full potential; Growth mindset - the desire to constantly expand your skillset and knowledge. Keen to learn more about biology, computational science, and medicine; Excitement about the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities. Minimum Qualifications Masters or Ph.D. … degree in a quantitative/computational field such as computer science, artificial intelligence, mathematics, statistics, physics, or computational biology, or equivalent experience; Experience in developing machine learning models; Very strong programming skills, including experience with Python and deep learning libraries such as PyTorch or JAX; Experience in large-scale distributed optimization of machine learning models across multiple … GPUs and nodes. Preferred Qualifications Familiarity with biological data formats, concepts, and computational models; Experience in cell health and rejuvenation-related research area; Experience with identification and assessment of drug targets and/or therapeutic compounds; Experience in the application of machine learning methods to biological data, including genomics, transcriptomics, epigenetics, proteomics, and imaging; Track record in open-source More ❯

institutions, and regulatory agencies across 62 countries. The Associate Director will be responsible for dDesigning, developing, and maintaining R-based tools and workflows for drug discovery, data analysis, and computational simulations. Should be able to adapt existing R scripts and update them to meet new requirements. Ensure code is clean, efficient, and well-documented. Will work closely with cross … processing and analyzing data, with a focus on optimizing the CODEX database. Develop custom R packages and integrate existing tools with external systems, databases, and platforms (e.g., cloud infrastructure, computational frameworks). Ensure high code quality and reproducibility of analyses. Perform unit testing, debugging, and troubleshooting issues related to the codebase. Document methodologies, workflows, and results to facilitate knowledge … Proven experience programming in R, including data manipulation, statistical modeling, and visualization (experience with packages such as ggplot2, dplyr, shiny, tidyr, etc.). Experience working in bioinformatics, pharmacometrics, or computational biology is a plus. Experience with relational databases (e.g., SQL) and knowledge of data integration practices. Ability to prioritize and manage multiple projects in a fast-paced, deadline 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 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 ❯

Why you? Basic Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: PhD or Master’s degree in computer science, Machine Learning, Statistics, Computational Biology, or a related quantitative field. Extensive experience in AI/ML engineering. Demonstrated experience working closely with business stakeholders in R&D, translating complex scientific challenges into More ❯

Research Scientist (Machine Learning, Cell and Tissue Biology), London London, England, United Kingdom Research Scientist (Machine Learning, Cell and Tissue Biology), London We are here to advance human health, by reimagining drug discovery with the power and pace of artificial intelligence. The future is coming. A future enabled and enriched by the incredible power of machine learning. A … model architecture and developing cutting-edge capabilities to advance rational drug design. Your impact This is an exciting opportunity for you to contribute to an ambitious Cell and Tissue Biology research program within the Computational Biology team, working in partnership with leading Machine Learning (ML) researchers, Chemists and Biologists. Building on the successful models in place to … in order to fully carve out your contribution. What you will do Make original research contributions to enable machine learning model development, applied to cell and/or tissue biology, that impacts one or more critical problems in drug development. Identify and create novel ML approaches, model architecture, and training strategies, along with the required data to train. Analyse More ❯

Quantum Chemistry and Machine Learning, London London Research Scientist, Quantum Chemistry and Machine Learning, London Isomorphic Labs is a new Alphabet company that is reimagining drug discovery through a computational- and AI-first approach. We are on a mission to accelerate the speed, increase the efficacy and lower the cost of drug discovery. You'll be working at the … cutting edge of the new era of 'digital biology' to deliver a transformative social impact for the benefit of millions of people. Come and be part of a multi-disciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring, collaborative and entrepreneurial culture. Your … to the organisation’s success. You will draw upon your existing deep research experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology and chemistry problems. You will be instrumental in leading computational chemistry based research projects, predicting relevant experimental quantities and helping to generate data to train algorithms More ❯

to the organisation’s success. You will draw upon your existing deep research experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology and chemistry problems. You will be instrumental in leading computational chemistry based research projects, predicting relevant experimental quantities and helping to generate data to train algorithms … we know it. What You Will Do Contribute to our drug development projects by using your extensive knowledge of theoretical chemistry to run accurate and relevant simulations. Develop the computational infrastructure to run simulations at scale through our cloud compute platform. Generate synthetic datasets that help improve the performance of our ML models. Report and present research findings and … priority modelling problems. Cultivate a diverse and inclusive research culture. Essential Skills and qualifications PhD or equivalent practical experience in a technical field. A proven track record in applying computational chemistry to predict relevant experimental quantities in an applied research field. Strong scientific knowledge of biology, chemistry, or physics Exposure to applied ML research. Depending on your experience More ❯

Lifebit's growing User Success team. We are looking for a Bioinformatics Solutions Architect (mid-level role) with experience in one or more of the following specialties: Bioinformatics/Computational Biology, Statistical Genetics and/or Genomic Medicine with a substantial computational element. As a successful candidate you should enjoy working hands-on with research scientists, academics … facing role within sales, solutions, or product management, ideally in the healthcare or life sciences industry (or the equivalent experience in academia). Education: BSc in computer science, bioinformatics, computational biology, or a related field (MSc/PhD preferred). Technical Knowledge: Intermediate knowledge of bioinformatics, cloud infrastructure (AWS, GCP, or Azure), and genomics data management. 1+ years 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 data scientist. Demonstrated programming expertise in Python and experience working with different types … 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 ❯

with unmet clinical needs. We are venture financed by global investors and supported by experienced company builders. The Opportunity We seek a Founding Machine Learning Engineer to join our computational team and lead the development of cutting-edge deep learning systems tailored for a novel type of single-cell sequencing data. This role offers the chance to make a … designing scalable solutions, conducting advanced research, and shaping the future of AI in precision medicine. As an early team member, you will be critical in building the company’s computational foundation and driving scientific discovery. Responsibilities Conduct advanced machine learning research, contributing to developing novel model architectures and new approaches for single-cell data analysis. Build scalable ML data … efficient pre-processing, training, and inference for large biological datasets. Optimize and benchmark deep learning models for performance, robustness, and scalability. Collaborate across disciplines to integrate experimental feedback into computational models and refine scientific strategy. Publish findings (e.g. NeurIPs, ICML, Nature), contribute to open-source projects, and mentor junior team members. Entelo Bio is redefining the boundaries of precision 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 … team Shape and execute a long-term AI strategy rooted in novel biological data and real-world application 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 ❯

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 ❯

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 ❯

Staff Scientist, Computational Biology - London London, England, United Kingdom Please Note: Our offices will be closed for our annual Winter Break from Monday, December 23, 2024, through Thursday, January 2, 2025. Our response to your application will be delayed. Your work will change lives. Including your own. The Impact You’ll Make As a key member of Recursion … 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 a portfolio of preclinical or clinical-stage drug programs and will be responsible for collaboratively defining and executing a research strategy that defines the most promising patient … You will integrate matched molecular and clinical data from oncology patients with layers of Recursion platform data (phenomics, transcriptomics, proteomics, etc) to validate the link between target and disease biology and propose clinical development opportunities. You will partner with machine learning and computational scientists from across the organization to develop, deploy, and scale novel approaches to patient selection More ❯

Direct message the job poster from CC Bio Co-Founder and Chief Operating Officer at CC Bio 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 … 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 … 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 More ❯