12 of 12 Bioinformatics Jobs

product leadership. Proven ability to build and scale products that manage or interpret complex, unstructured data, particularly biomedical or scientific data. Deep knowledge of bioinformatics, computational biology, or cheminformatics, coupled with a visionary perspective on how agentic AI can revolutionise the drug discovery process. Prior experience in the life science ...

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 ...

security practices (OAuth2, JWT) A background in or genuine familiarity with the drug discovery process and its supporting tools A degree in Computer Science, Bioinformatics or a related discipline Experience with Celery or Redis for managing long-running scientific computations would be a bonus, as would relevant industry certifications. Interested ...

analysis, strategy, or program delivery in life sciences, biotech, data, or AI/ML transformation environments A relevant degree in life sciences, computational biology, bioinformatics, or a related scientific discipline Experience in benefits modelling for data, analytics, AI, or R&D transformation programs — including quantified business cases, KPI definition, baseline ...

support information and analytics projects. Contribute to data governance initiatives and responsible AI practices. Skills & Experience Required Degree in Life Sciences, Data Science, Bioinformatics, or a related discipline. Basic programming skills with an interest in developing technical capabilities. Strong analytical and problem-solving skills with attention to detail. Interest ...

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 ...

interest in coding, analytics, and emerging AI technologies and should also have: A BSc/MSc (or equivalent experience) in Life Sciences, Data Science, Bioinformatics, Computational Biology, Computer Science, or a related field Good programming skills (e.g. Python, R, or similar) Strong analytical and problem-solving abilities An interest … Science, Research, Pharmaceutical, AI, NLP, Text mining, Machine, learning, Python, R, Informatics, Literature, Biomedical, Insights, Metadata, Ontologies, Knowledge, graphs, Automation, Programming, Intelligence, Content, Mining, Bioinformatics, Computation, analysis, Governance, Innovation ...

seeking an exceptional candidate for the EMBL-EBI Faculty role of Protein Function Development Team Leader, to be responsible for leading the engineering and bioinformatics infrastructure that underpins one of the most important resources in the life sciences, Uniprot . UniProt is the world's leading resource for protein sequences … demands on UniProt continue to grow, in data volume, annotation depth, and the diversity of research applications it supports, a robust and forward-looking bioinformatics infrastructure is essential to its continued success and impact. This role reports to Sameer Velankar , Head of the Macromolecular Structure, Chemistry and Bioimaging section ...

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 ...

workshops with scientific and technical stakeholders Analyse and document current (As-Is) and future (To-Be) workflows across human genetics, GWAS, rare-disease genetics, bioinformatics pipelines, multi-omics, target prioritisation, translational biology, AI/ML research, and evidence integration Gather and structure business, functional, and data requirements Define data flows … design What we expect: 5+ years of Business Analysis experience in life sciences, biotech, or computational research Scientific background in life sciences, computational biology, bioinformatics, genetics, or a related scientific discipline Experience mapping scientific workflows and translating them into requirements for technical teams Experience working with research data platforms, data ...

This role focuses on evaluating scientific platforms and technology solutions that support computational biology, bioinformatics, AI/ML, and research data workflows. You'll collaborate with scientists, architects, vendors, and technical teams to assess tools, define evaluation criteria, and recommend the best-fit solutions for digital transformation initiatives. Responsibilities: Gather … analyze business and technical requirements for platform selection Define evaluation criteria and support RFI/RFP processes Conduct market analysis across computational biology and bioinformatics platforms, research data platforms and cloud analytics, and AI/ML platforms and model governance tooling Facilitate vendor demos, technical discussions, and proof-of-concept ...