15 of 15 Bioinformatics Jobs in the Thames Valley

AI solutions. Develop automated reporting systems that make results from AI models easier to interpret, share, and act on. Key requirements: MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines (MLflow, Azure ML, Azure DevOps etc). Strong programming skills in Python and familiarity with More ❯

pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum 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. Strong skills in Python, with experience in backend development and unit testing. Knowledge of generative More ❯

CD, agile). Experience with automated testing frameworks such as pytest. Preferred Qualifications Experience working with biological or scientific datasets (e.g. genomics, proteomics, or pharmaceutical data). Knowledge of bioinformatics or large-scale research data. Familiarity with Nextflow, Airflow, or Google Workflows. Understanding of NLP techniques and processing unstructured data. Experience with AI/ML-powered applications and containerised development More ❯

pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum 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 ❯

Establish quality and risk frameworks, monitor KPIs, and report on platform progress. You will bring BSc/MSc/PhD (or equivalent experience) in Digital Health, AI, Computer Science, Bioinformatics , or similar. Strong vendor management and supplier negotiation experience. Digital solutions experience within healthcare or another highly regulated industry. Strong knowledge of data engineering, cloud infrastructure, and healthcare interoperability . More ❯

Establish quality and risk frameworks, monitor KPIs, and report on platform progress. You will bring BSc/MSc/PhD (or equivalent experience) in Digital Health, AI, Computer Science, Bioinformatics , or similar. Strong vendor management and supplier negotiation experience. Digital solutions experience within healthcare or another highly regulated industry. Strong knowledge of data engineering, cloud infrastructure, and healthcare interoperability . More ❯

Agile processes, including planning and standups Support and enhance cloud and CI/CD infrastructure. Troubleshoot and resolve production challenges Ideal candidate 3yrs+ experience in computer vision, machine learning, bioinformatics, or medical informatics Proven ability to build maintainable, secure, and high-performance solutions Strong proficiency in Python and modern ML frameworks Skilled in deploying and supporting ML models in production More ❯

Agile processes, including planning and standups Support and enhance cloud and CI/CD infrastructure. Troubleshoot and resolve production challenges Ideal candidate 3yrs+ experience in computer vision, machine learning, bioinformatics, or medical informatics Proven ability to build maintainable, secure, and high-performance solutions Strong proficiency in Python and modern ML frameworks Skilled in deploying and supporting ML models in production More ❯

and scientists driving global pathogen research. Key Responsibilities: Manage our object data storage, ensuring efficient design, tiering, and access controls Build and manage our research compute environment for running bioinformatics pipelines and interactive analytics Ensure the data platform meets disaster recovery standards Ensure cloud resources are managed according to set standards and that deployments are automated Collaborate with the AI 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 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 ❯

The Ellison Institute of Technology (EIT) tackles humanity's greatest challenges by turning science and technology into impactful global solutions. Focused on areas like health, food security, sustainable agriculture, climate change, clean energy, and robotics in an era of artificial More ❯