23 of 23 Computational Biology Jobs in England

both technical and non-technical stakeholders, delivered through written documentation and verbal briefings. Minimum qualifications: Bachelor's degree in Computer Science, Machine Learning, Computational Biology, or a related field, or equivalent practical experience.2 years of experience with machine learning algorithms and tools (e.g., TensorFlow, Pytorch). Preferred qualifications … degree in Computer Science, Machine Learning, Computational Biology, or a related field, or equivalent practical experience. Experience applying deep learning models to biological data (such as functional genomics or protein sequence data).Experience working with life science data, such as in bioinformatics or health informatics. Familiarity with emerging ...

agentic systems to solve a variety of scientific tasks. Deliver robust, tested, and high-performance code in an agile environment. Liaise with experts in biology, medicine and experimentation to ensure optimal data collection and processing for machine learning models. Why you? Qualifications & Skills: We are looking for professionals with … these required skills to achieve our goals: Bachelor's, Master's or Doctorate degree in a quantitative or engineering discipline (computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience delivering state-of-the-art AI/ML solutions. Experience with at least one major deep ...

break down, and solve ambiguous and complex process and technical problems that span across many teams and organizations. Demonstrated domain knowledge in life sciences, computational biology, or biosecurity (e.g., molecular biology, pathogen genomics, computational plant pathology, protein engineering, bioinformatics, or metagenomics).Demonstrated ability to translate biological … concepts into computational workflows and evaluation benchmarks. At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities ...

including FASTQ, SAM/BAM, gff, BED, VCF, and PDB/CI using bioinformatics or health informatics tools. Demonstrated domain knowledge in life sciences, computational biology, or biosecurity (e.g., molecular biology, pathogen genomics, computational plant pathology, protein engineering, bioinformatics, or metagenomics).Ability to identify, break down … solve ambiguous and complex process and technical problems that span across many teams and organizations. Demonstrated ability to translate biological concepts into computational workflows and evaluation benchmarks. At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas ...

design the right interventions and bring the right medicines to patients. The AI Accelerator exists to change that. Based in London and sitting within Computational Innovation (@computationalinnovation), a global organisation spanning computational biology, human genetics, data excellence and AI, the Accelerator's mission is to build production … quality AI capabilities that deepen our understanding of disease biology and increase probability of success. We do this by applying neural-based methods across the biomedical data landscape to integrate heterogeneous, multimodal data sources, infer biological relationships and embed causal thinking into what we build. The goal ...

design the right interventions and bring the right medicines to patients. The AI Accelerator exists to change that. Based in London and sitting within Computational Innovation (@computationalinnovation), a global organisation spanning computational biology, human genetics, data excellence and AI, the Accelerator's mission is to build production … quality AI capabilities that deepen our understanding of disease biology and increase probability of success. We do this by applying neural-based methods across the biomedical data landscape to integrate heterogeneous, multimodal data sources, infer biological relationships and embed causal thinking into what we build. The goal ...

generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI's powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate … cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we're getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.Your ImpactWe're seeking a Senior Research Investigator ...

research team developing next-generation technologies at the intersection of genomics, artificial intelligence, and healthcare. You'll be part of a multidisciplinary department of computational scientists, bioinformaticians, engineers, and researchers applying advanced analytics to large-scale biological datasets and real-world scientific challenges. Your new role As a Scientist … will develop novel computational methods that transform complex sequencing data into actionable biological insights and support novel product development to have a real-world impact. This is a genuine methods development role, focused on creating new algorithms and ML/AI approaches rather than applying existing bioinformatics pipelines. This ...

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 software engineer. Demonstrated advanced programming expertise in Python and in developing and delivering … networking and security controls - VPC, VPC Service Controls (VPC-SC), and private connectivity. Contributions to relevant open-source projects. Knowledge or interest in disease biology, molecular biology and medicine. Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images). Please take a copy ...

looking for a highly motivated Scientific Developer to join the Chemical Biology Resources team at the European Bioinformatics Institute (EMBL-EBI), located on the Wellcome Genome Campus near Cambridge, UK. This is a 13-month fixed-term position offered as maternity cover. The Chemical Biology Resources team provides … database and ontology of compounds of biological interest. OPSIN converts systematic chemical names into chemical structures. The EBI is part of the European Molecular Biology Laboratory (EMBL) and it is a world-leading bioinformatics centre providing biological data to the scientific community with expertise in data storage, analysis ...

have the ability to be located remotely. Please only apply if this area is accessible to you. We are seeking a highly motivated computational scientist to join the Cardiovascular and Metabolic Disease (CVM) research organization at Biomedical Research (BR) in Cambridge, MA. In this role, you will apply human … genomic data science to support new therapeutic target discovery and patient selection strategies across CVM diseases. The successful candidate will work closely with geneticists, computational biologists, disease-area scientists, translational researchers, and clinical development colleagues to generate actionable insights from human genetic and genomic data. This is an opportunity ...

design the right interventions and bring the right medicines to patients. The AI Accelerator exists to change that. Based in London and sitting within Computational Innovation (@computationalinnovation), a global organisation spanning computational biology, human genetics, data excellence and AI, the Accelerator's mission is to build production … quality AI capabilities that deepen our understanding of disease biology and increase probability of success. We do this by applying neural-based methods across the biomedical data landscape to integrate heterogeneous, multimodal data sources, infer biological relationships and embed causal thinking into what we build. The goal ...

results through internal and external presentations, posters, publications, and technical documentation. Essential Requirements: BS or MS in AI/ML, data science/engineering, computational biology, bioinformatics, computer science/engineering, mathematics, physics, or a related discipline, with 3+ years of hands-on experience in scientific data science … engineering, AI/ML, computational research within the biopharma and/or technology industry. We will also consider qualified recent PhD graduates (within last 2 years).Experience building and operating production-grade multimodal data platforms for scientific analysis: omics data, data modeling, patient metadata, lineage, access controls, and reproducible ...

implementation details and results through internal and external presentations, posters, publications, and technical documentation. Requirements: PhD in AI/ML, data science/engineering, computational biology, bioinformatics, computer science/engineering, mathematics, physics, or a related discipline with equivalent practical experience.3+ years of hands-on experience in scientific … data science or engineering, AI/ML, computational research within biopharma and/or technology industryExperience building and operating production-grade multimodal data platforms for scientific analysis: omics data, data modeling, patient metadata, lineage, access controls, and reproducible workflows. Experience with omics analysis pipelines (i.e. genomics, transcriptomics ...

Make your mark for patientsWe are looking for a Principal Computational Methodologist who is curious, collaborative, and impact-driven to join our Advanced Methods and Data Science team within Biometrics and Data Science, based in any of our Brussels (Belgium), Slough (UK) or Raleigh (US).About the roleYou will … help shape how advanced AI, machine learning, and computational methods support clinical development. You will design, validate, and deploy models that help teams make evidence-based decisions in areas such as biomarker discovery, clinical trial design, operational efficiency, and patient experience. You will guide scientific thinking, turn complex methods ...

appropriate. Support the development of future regulatory frameworks, guidance and policy relating to AI-enabled technologies where appropriate. Keep abreast of developments in AI, computational toxicology, pharmacology, modelling and simulation, healthcare data science and related fields. Identify opportunities to strengthen scientific capability and further develop the MHRA's leadership … Experience Essential Significant experience and recognised expertise in at least one of the following areas: Artificial Intelligence and Machine Learning Healthcare data science and computational modelling Pre-clinical assessment, toxicology and New Approach Methodologies (NAMs) Pharmacology, drug discovery or development or related scientific areas. Experience applying scientific and technical ...

monitoring or clinical development contextsUnderstanding of biomedical ontologies or knowledge graph applicationsKnowledge of regulatory frameworks (FDA, EMA) and experience with data privacy considerationsBackground in computational biology, biostatistics or related scientific disciplineFamiliarity with federated learning concepts or privacy-preserving machine learning techniquesWe offerEPAM Employee Stock Purchase Plan (ESPP)Protection ...

software engineering for genotyping and genetics products. This role supports the development of new solutions that advance translational research and precision medicine, delivering scalable computational workflows and analytical capabilities for array and next-generation sequencing (NGS) applications. Working closely with wet-lab scientists, bioinformaticians, product teams, and software engineers … DoLead the design and development of algorithms and probabilistic models for analysis of array and NGS data supporting genotyping and genetics applications. Apply statistical, computational, and machine‐learning methods to large‐scale genetic and epigenetic datasets (e.g., genotyping, sequencing, copy number, methylation).Design and develop production‐grade software that ...

software engineering for genotyping and genetics products. This role supports the development of new solutions that advance translational research and precision medicine, delivering scalable computational workflows and analytical capabilities for array and next-generation sequencing (NGS) applications. Working closely with wet-lab scientists, bioinformaticians, product teams, and software engineers … DoLead the design and development of algorithms and probabilistic models for analysis of array and NGS data supporting genotyping and genetics applications. Apply statistical, computational, and machine‐learning methods to large‐scale genetic and epigenetic datasets (e.g., genotyping, sequencing, copy number, methylation).Design and develop production‐grade software that ...

49.13 ph Rates are dependent upon experience. Senior Bioinformatician Role: Analyse large-scale single-cell, bulk transcriptomics and other omics datasets. Develop new computational methods that extract biological insight from them. Build scalable, well-tested and documented software and workflows for atlas-scale data (millions of cells) and high … analysis plan through to publication or portfolio decision. Translate complex findings into clear recommendations for project teams and leadership. Your Background : PhD in bioinformatics, computational biology, statistical genetics, statistics or a related quantitative discipline, or an MSc with equivalent industry experience. Hands-on experience analysing single-cell ...

generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI's powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate … cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we're getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.Your impact This is an exciting opportunity ...

future of laboratories and analytical data. Qualifications and ExperienceMaster's degree level or equivalent in relevant technology or scientific fields (e.g. Computer Science, MBA, computational sciences), with a deep understanding of research and development processes. Proven R&D Analytics Leadership: Extensive experience in the CPG, consumer healthcare, biopharmaceutical, technology … science, AI/ML, and analytics tools relevant to consumer/CPG/Healthcare/biopharma research. Familiarity with areas such as predictive modeling, computational chemistry/biology, bioinformatics, statistics, and AI-driven consumer and sensory insights. Ability to guide teams in selecting and applying the right technologies ...

will be designing and developing software and APIs for the UniProt data services and website, providing protein information to the scientific community and computational biologists. You will also be working in the design, maintenance and monitoring of the website cloud infrastructure. Scalability will be an important feature of your … apply your talent and passion to accelerate science and tackle some of humankind's greatest challenges. EMBL-EBI, part of the European Molecular Biology Laboratory, is a worldwide leader in the storage, analysis and dissemination of large biological datasets. We provide the global research community with access to publicly ...