13 of 13 Remote Bioinformatics Jobs in England

in research, regulatory, clinical and commercial teams on the biomarker and/or AI strategy, execution, and delivery of assigned projects. Your Experience Ph.D. in data science, biostatistics, pharmacology, bioinformatics, mathematics, or other quantitative field (or equivalent). Experience in clinical drug development with extensive exposure to clinical trials. Clinical, pharmacological, and therapeutic knowledge in neuroscience. Good understanding of clinical More ❯

pipeline consuming other data products Deliver ML- and data-driven insights on GenAI datasets. Basic qualifications: 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. Prior experience carrying out user research for software development Knowledge of generative AI and large More ❯

by leading financial and corporate strategic investors from the UK, US and EU. The company is based in Oxford, UK. Role Overview We are seeking a talented and driven Bioinformatics Data Scientist to join our multidisciplinary research team. This role is ideal for someone with a strong background in bioinformatics and a passion for applying computational methods to advance cancer … in developing and deploying scalable workflows to analyse high-dimensional omics data, helping uncover novel targets and biomarkers that drive our therapeutic pipeline. Key Responsibilities Develop and maintain reproducible bioinformatics workflows using Python and Nextflow to support R&D efforts, focusing on high-dimensional datasets such as bulk and single cell RNA seq. Analyse complex datasets from cancer immunotherapy studies … learning techniques to discovery or translational research. Contribute to scientific publications, internal reports, and presentations that drive strategic decisions. Required Qualifications and experience PhD or MSc in Computational Biology, Bioinformatics, Systems Biology, or a related field. Proven experience in oncology and omics data analysis. Proficiency in Python and workflow management tools such as Nextflow. Strong statistical and data visualization skills. More ❯

technical concepts clearly. You'll also be proficient in CI/CD practices, source control tools like Git or SVN, and writing robust unit tests. Experience in biotech or bioinformatics is a plus, as is familiarity with Xilinx FPGA and professional Linux certification. Your collaborative nature and ability to work across teams and organisations will be key to your success. More ❯

complex technical concepts clearly.You'll also be proficient in CI/CD practices, source control tools like Git or SVN, and writing robust unit tests. Experience in biotech or bioinformatics is a plus, as is familiarity with Xilinx FPGA and professional Linux certification. Your collaborative nature and ability to work across teams and organisations will be key to your success. More ❯

background in cloud platform engineering or DevSecOps Hands-on experience with Terraform , Kubernetes , and cloud architecture (preferably OCI) Familiarity with high-throughput or data-intensive environments (e.g. scientific research, bioinformatics, analytics) Passion for automation, performance optimisation, and secure system design Location: Oxford, UK (Hybrid) Seniority: Senior-level More ❯

background in cloud platform engineering or DevSecOps Hands-on experience with Terraform , Kubernetes , and cloud architecture (preferably OCI) Familiarity with high-throughput or data-intensive environments (e.g. scientific research, bioinformatics, analytics) Passion for automation, performance optimisation, and secure system design Location: Oxford, UK (Hybrid) Seniority: Senior-level More ❯

re now hiring a Senior DevSecOps Engineer to help build and secure this cloud-first data platform. You'll drive automation, embed security, and collaborate across engineering, data, and bioinformatics teams to deliver scalable, reliable infrastructure. What you'll do Design and maintain secure cloud infrastructure (Oracle Cloud Infrastructure). Build IaC with Terraform for consistent, automated deployments. Develop CI More ❯

and computer systems delivering existing genomic analysis pipelines. Contribute to expanding deployment of existing analysis pipelines to additional computational platforms as required. Support the identification and sharing of best bioinformatics practice. Accept responsibility for refactoring existing WGS software components. Develop tested, validated and versioned software components for genomic analyses, incorporate into and validate new genomic pipeline versions. Satisfy support requests … technical information, and an ability to communicate complex programmatic and IT issues to non-specialist groups in layman terms.This will include; Internal Substantial interactions with members of the mSCAPE bioinformatics team and other units within the TARZET division Regular interactions with Laboratory scientists, embedded bioinformaticians and epidemiologists, including during incident working. Substantial interactions within DAS and with central IT (ICT … cloud-based resource and utilising UKHSA computing infrastructure. Interactions with collaborating centres, including research and academic institutes, to deliver software process for analysing WGS data. Essential Criteria Degree in Bioinformatics or related life science. Postgraduate training in Bioinformatics, or equivalent. Familiar with Linux/Unix; proficient in the CLI. Knowledge of Next Generation Sequencing technologies and associated bioinformatic analytical approaches. More ❯

and scale the infrastructure that supports high-performance machine learning and AI-driven research workflows . You will play a critical role in bridging the gap between data science, bioinformatics, and engineering — ensuring seamless, secure, and reproducible deployment of ML models in production and research environments. You’ll collaborate closely with AI Scientists, Data Engineers, and DevSecOps teams , building automation … and data processing. Build and maintain feature stores, model registries, and versioning systems to ensure traceability and reproducibility. Implement data ingestion and pre-processing pipelines to support ML and bioinformatics workloads. Collaborate with security and DevSecOps teams to enforce best practices in access control, compliance, and governance . Support AI/ML researchers in model experimentation and infrastructure optimization. Monitor … principles , IAM, and networking best practices. Proficiency in Python and Bash scripting for automation and tooling development. Version control with Git , and collaborative development practices. Desirable Experience Exposure to bioinformatics or health data ecosystems (WGS, transcriptomics, clinical data). Knowledge of data governance and compliance frameworks (GDPR, ISO27001, HIPAA). Experience building monitoring dashboards for ML performance metrics. Familiarity with More ❯

and scale the infrastructure that supports high-performance machine learning and AI-driven research workflows . You will play a critical role in bridging the gap between data science, bioinformatics, and engineering — ensuring seamless, secure, and reproducible deployment of ML models in production and research environments. You’ll collaborate closely with AI Scientists, Data Engineers, and DevSecOps teams , building automation … and data processing. Build and maintain feature stores, model registries, and versioning systems to ensure traceability and reproducibility. Implement data ingestion and pre-processing pipelines to support ML and bioinformatics workloads. Collaborate with security and DevSecOps teams to enforce best practices in access control, compliance, and governance . Support AI/ML researchers in model experimentation and infrastructure optimization. Monitor … principles , IAM, and networking best practices. Proficiency in Python and Bash scripting for automation and tooling development. Version control with Git , and collaborative development practices. Desirable Experience Exposure to bioinformatics or health data ecosystems (WGS, transcriptomics, clinical data). Knowledge of data governance and compliance frameworks (GDPR, ISO27001, HIPAA). Experience building monitoring dashboards for ML performance metrics. Familiarity with More ❯

We are looking for a Database with strong record in database and software development and interested in developing a new database management system for one of the most internationally used data resources in biological science, UniProt. Our team is very More ❯

Senior Platform Engineer Location: Oxford or London (hybrid: 3 office/2 WFH) Join a world-leading research and technology organisation using science and data to solve humanity’s biggest challenges — from health and food security to climate and clean More ❯