1 to 25 of 138 Computational Biology Jobs in the UK

changing science to solve some of humanity's greatest challenges. We seek a Senior or Principal Data Scientist to deliver a project at the intersection of machine learning and biology at Wellcome Sanger Institute. The position is for a two year fixed term contract working on a project funded by Open Targets within Mo Lotfollahi's team in our … Programme. About the Role: The Project aims to leverage datasets internally generated at the Sanger Institute and publicly available data from human cells to create foundational models for cellular biology predicting cellular behaviours in response to different perturbations, to enhance our understanding of life's rules and improving health for all. Your role will involve designing foundational models leveraging … interpret large-scale single-cell datasets. We have access to unique data and are also in the position to generate data to train unique models. Additionally, we have substantial computational power and GPU resources to train large models efficiently. Our teams are well-positioned to tackle this problem with experience in both generating and analysis of datasets, including millions More ❯

changing science to solve some of humanity’s greatest challenges. We seek a Senior or Principal Data Scientist to deliver a project at the intersection of machine learning and biology at Wellcome Sanger Institute. The position is for a two year fixed term contract working on a project funded by Open Targets within Mo Lotfollahi's team in our … . About the Role: The Project aims to leverage datasets internally generated at the Sanger Institute and publicly available data from human cells to create foundational models for cellular biology predicting cellular behaviours in response to different perturbations, to enhance our understanding of life's rules and improving health for all. Your role will involve designing foundational models leveraging … interpret large-scale single-cell datasets. We have access to unique data and are also in the position to generate data to train unique models. Additionally, we have substantial computational power and GPU resources to train large models efficiently. Our teams are well-positioned to tackle this problem with experience in both generating and analysis of datasets, including millions More ❯

part of ground-breaking research at the forefront of somatic genomics . You will be part of a dynamic team at Quotient's multidisciplinary research environment comprising AI scientists, computational biologists, genome scientists, software engineers, and disease area specialists. You will also work closely with specialists in translational science, drug discovery, and pre-clinical modelling. In this role, you … and development teams to integrate genomic and histology imaging analysis. Communicate findings effectively to both technical and non-technical audiences. Key Qualifications: PhD (or equivalent experience) in Machine Learning, Computational Biology, Bioinformatics, or a related quantitative field. Strong programming skills with a solid understanding of algorithms and data structures. Proficiency in Python with hands-on experience using open More ❯

Institute and Open Targets (targets ( This project aims to leverage datasets internally generated at the Sanger Institute and publicly available data from human cells to create foundational models for biology, enhancing our understanding of life's rules and improving health for all. You will work within an interdisciplinary team of life scientists and computer/ML scientists, with a … interpret large-scale single-cell datasets. We have access to unique data and are also in the position to generate data to train unique models. Additionally, we have substantial computational power and GPU resources to train large models efficiently. Our teams are well-positioned to tackle this problem with experience in both generating and analyzing datasets, including millions of … that enable understanding single-cell data and its application in drug discovery. Working with Ph.D. students and postdocs in collaborating teams on developing solutions for interdisciplinary scientific problems in biology as well as providing supervision and training to junior members of the team. Contributing to writing scientific papers on biotechnology and biology. Distilling your developed solutions into open-source More ❯

on half a petabyte of high-resolution cell imagery, aimed at transforming how we discover treatments for cardiovascular diseases, obesity, and rare conditions. We’re looking for a principal computational biologist or data scientist to play a critical role in this project — leading the analyse of image-based embeddings, validating model outputs, and collaborating closely with ML engineers and … vision scientists to ensure the biology behind the model holds up. Must Haves: PhD in Computational Biology, Bioinformatics, Systems Biology, or a related quantitative field. 5+ years of experience in computational biology or data science within the biotech or pharmaceutical industry. Proven track record in target discovery, with experience progressing targets through early drug More ❯

on half a petabyte of high-resolution cell imagery, aimed at transforming how we discover treatments for cardiovascular diseases, obesity, and rare conditions. We’re looking for a principal computational biologist or data scientist to play a critical role in this project — leading the analyse of image-based embeddings, validating model outputs, and collaborating closely with ML engineers and … vision scientists to ensure the biology behind the model holds up. Must Haves: PhD in Computational Biology, Bioinformatics, Systems Biology, or a related quantitative field. 5+ years of experience in computational biology or data science within the biotech or pharmaceutical industry. Proven track record in target discovery, with experience progressing targets through early drug 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 ❯

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 ❯

About Us Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of genome biology to identify novel drug targets, mechanisms, and genetic medicines inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA … acid and protein-level mechanisms, analyze large biological datasets, and support the design of therapeutic molecules. This is an opportunity to work at the interface of machine learning and computational biology, making impactful contributions to drug discovery and therapeutic development. Key Responsibilities Develop and implement advanced machine learning models for RNA biology, systems biology, and structural … biology to solve frontier challenges in drug discovery. Collaborate with cross-functional teams (e.g., ML engineering, target discovery, and experimental biology) to drive research projects that identify novel drug targets and preclinical candidates. Design and execute computational and experimental studies to validate and improve model predictions. Stay informed about the latest advancements in machine learning and computational More ❯

Research Scientist (Machine Learning, Cell and Tissue Biology), London 6 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. This job is with Isomorphic Labs, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. … 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 future in which diseases are curtailed or cured by better and faster drug discovery. … 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 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 ❯

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 ❯

that amplify the brain’s own protective mechanisms. We target brain activity during sleep as a therapeutic approach to treating neurodegenerative disorders . Leveraging cutting-edge neuroscience, electrophysiology, molecular biology, and computational approaches, we aim to unlock the therapeutic potential of deep sleep to treat conditions such as Alzheimer's disease, Parkinson’s disease, and other neurological disorders. … visionary Data scientist to lead our bioinformatics and data analysis research efforts. Position Summary We are seeking an experienced and highly motivated Associate Director/Director of Bioinformatics and Computational Biology to lead bioinformatics efforts within our dynamic and interdisciplinary team. This role will focus on the development, implementation, and application of computational and statistical methodologies to … transcriptomic, proteomic, and clinical datasets relevant to neuroscience research. The ideal candidate will bring expertise in multi-omics integration, machine learning, and algorithm development, with a passion for applying computational approaches to solve complex biological problems. Key Responsibilities · Lead and manage bioinformatics and computational biology initiatives to support our neuroscience research and drug discovery programs. · Develop and 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

teams, and disease experts to align model outputs with meaningful biological insights. What we expect from you Qualifications and Skills PhD degree in Computer Science, Artificial Intelligence, Machine Learning , Computational Biology, Bioinformatics, or a related field. Track record in AI innovation through peer-reviewed publications in method development (e.g., ICLR, NeurIPS, ICML, Nature, Science, Cell or similar). … venture capital-backed life science company at the intersection of single cell genomics, spatial genomics, AI, and drug discovery. Our mission is to decode the complexities of human disease biology, identify novel therapeutic intervention points, and develop precision therapeutics targeting these intervention points to create transformational new medicines . Ensocell has research teams in Cambridge, UK, and Alameda, California 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 ❯

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 ❯

for Women, Best Workplaces for Millennials, and Best Medium Workplaces lists. Summary Here at Insmed Cambridge, we believe that data drives discovery. We are developing the next generation of computational tools and machine learning models to accelerate therapeutic development for rare genetic diseases. To support this mission, we are seeking a talented and motivated Data Scientist with expertise in … and statistical rigour to empower better decision making during experimental design. Act as a subject expert to leverage data driven science working collaboratively with chemists, biologists, platform engineers, cheminformaticians, computational biologists, and data scientists. What we are looking for A post-graduate degree in machine learning, statistics, computer science, cheminformatics, bioinformatics, chemistry, biology, genetics, medicine or a similar 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 ❯