9 of 9 Permanent Bioinformatics Jobs in London

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, including MLflow, Azure ML, Azure DevOps, or similar tools. Strong ...

infrastructure and data pipelines for cutting-edge scientific projects. Qualifications & Skills 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 robust, scalable ...

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 robust, scalable ...

professionals with these required skills to achieve our goals: A PhD-equivalent 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 research engineer. A track record of performing high quality ML research, evidenced by publications ...

strategic judgement to shape how large-scale AI systems are built, governed, and applied within drug discovery. This is not a traditional data science, bioinformatics, or computational biology position. It is an AI systems and engineering leadership role operating within a biomedical R&D environment. The successful candidate will lead ...

complex stakeholder landscape and scientific environment, balancing evolving business priorities while identifying the highest‐impact opportunities for AI deployment. Qualifications Degree in Computer Science, Bioinformatics, Information Technology, Engineering, or a related field. Strong background in Artificial Intelligence, Machine Learning, Data Science, or Product Development with a strong focus on product ...

operating complex healthcare software systems. Today over half our headcount are directly involved in the delivery of software from Product, Design, Engineering and Bioinformatics to Data Engineering, Architecture and Service Management. We're on the cusp of big changes with the real prospect of genomics becoming the fabric of everyday ...

will develop analytical pipelines, optimise and maintain existing workflows, and contribute to database development projects. You will play a key role in evaluating new bioinformatics applications, supporting infrastructure planning, and collaborating closely with scientific teams across the service. If you are committed to contributing to a well-established translational research … position is available immediately, funded until 31st March 2028. You will join an enthusiastic, friendly, and motivated multidisciplinary group, working across both the Clinical Bioinformatics and Translational Research teams. This role is ideal for postdoctoral clinical Bioinformaticians seeking to broaden their research experience and contribute to translating new innovations into ...

processing for machine learning models. Qualifications & Skills 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 learning framework … evaluation). Contributions to relevant open‐source projects. Relevant scientific publications in AI/ML (e.g., NeurIPS, ICML, ICLR, AAAI), computational biology or bioinformatics venues. Knowledge of or interest in disease biology, molecular biology and medicine. Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images ...