1 to 25 of 30 Permanent Bioinformatics Jobs in the South East

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 ❯

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 ❯

security, compliance, and AI governance standards. Educate IT and business teams on Gen AI capabilities. Required Experience & Skills: Higher degree (PhD preferred) in CS, Engineering, Data Science, Statistics, Physics, Bioinformatics, or related field. 5+ years of hands-on experience across AI domains: NLP, NLG, CV, ML, GenAI. Expertise in fine-tuning/training LLMs and Graph RAG solutions in production. More ❯

security, compliance, and AI governance standards. Educate IT and business teams on Gen AI capabilities. Required Experience & Skills: Higher degree (PhD preferred) in CS, Engineering, Data Science, Statistics, Physics, Bioinformatics, or related field. 5+ years of hands-on experience across AI domains: NLP, NLG, CV, ML, GenAI. Expertise in fine-tuning/training LLMs and Graph RAG solutions in production. More ❯

security, compliance, and AI governance standards. Educate IT and business teams on Gen AI capabilities. Required Experience & Skills: Higher degree (PhD preferred) in CS, Engineering, Data Science, Statistics, Physics, Bioinformatics, or related field. 5+ years of hands-on experience across AI domains: NLP, NLG, CV, ML, GenAI. Expertise in fine-tuning/training LLMs and Graph RAG solutions in production. More ❯

security, compliance, and AI governance standards. Educate IT and business teams on Gen AI capabilities. Required Experience & Skills: Higher degree (PhD preferred) in CS, Engineering, Data Science, Statistics, Physics, Bioinformatics, or related field. 5+ years of hands-on experience across AI domains: NLP, NLG, CV, ML, GenAI. Expertise in fine-tuning/training LLMs and Graph RAG solutions in production. More ❯

directly enable discoveries that could revolutionize drug development and diagnostics. What are we looking for? PhD (or MSc + equivalent experience) in Computer Science, Data Science, Mathematics, Physics, or Bioinformatics 5+ years post-qualification experience tackling complex technical challenges Expert-level Python programming (NumPy, PyTorch/TensorFlow, SciPy, pandas) Deep expertise in time-series and sequence modelling (RNNs, LSTMs, transformers More ❯

Portal and new web applications. Contribute to technical architecture for new tools, and help evolve the existing platform's design and long-term maintainability. Collaborate cross-functionally with product, bioinformatics, and platform teams to translate scientific needs into user-focused tools. Lead by example through hands on coding, code reviews, and mentoring junior engineers. Ensure scalability and reliability of the 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 ❯

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 ❯

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 ❯

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 ❯

and data protection regulations. Establish quality and risk frameworks, monitor KPIs, and report on platform progress. You will bring PhD (or equivalent experience) in Digital Health, AI, Computer Science, Bioinformatics , or similar. Proven experience leading large-scale digital health or AI-driven research projects . Strong knowledge of data engineering, cloud infrastructure, and healthcare interoperability . Excellent leadership, communication, and More ❯

and data protection regulations. Establish quality and risk frameworks, monitor KPIs, and report on platform progress. You will bring PhD (or equivalent experience) in Digital Health, AI, Computer Science, Bioinformatics , or similar. Proven experience leading large-scale digital health or AI-driven research projects . Strong knowledge of data engineering, cloud infrastructure, and healthcare interoperability . Excellent leadership, communication, and More ❯

and data protection regulations. Establish quality and risk frameworks, monitor KPIs, and report on platform progress. You will bring PhD (or equivalent experience) in Digital Health, AI, Computer Science, Bioinformatics , or similar. Proven experience leading large-scale digital health or AI-driven research projects . Strong knowledge of data engineering, cloud infrastructure, and healthcare interoperability . Excellent leadership, communication, and 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 ❯

be joining a cross-functional team working alongside architects, platform engineers, and data engineers to build infrastructure that empowers scientists to access the data they need for ground-breaking bioinformatics pipelines and data products. As a Senior Backend Engineer, you will develop the platform services that store and provide access to the data. Key Requirements: Python and/or Node.JS More ❯

be joining a cross-functional team working alongside architects, platform engineers, and data engineers to build infrastructure that empowers scientists to access the data they need for ground-breaking bioinformatics pipelines and data products. As a Senior Backend Engineer, you will develop the platform services that store and provide access to the data. Key Requirements: Python and/or Node.JS More ❯

be joining a cross-functional team working alongside architects, platform engineers, and data engineers to build infrastructure that empowers scientists to access the data they need for ground-breaking bioinformatics pipelines and data products. As a Senior Backend Engineer, you will develop the platform services that store and provide access to the data. Key Requirements: Python and/or Node.JS 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 ❯