Scientific Business Analyst – In Silico Product & Vendor Evaluation

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 and 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 activities Perform fit-gap, build-vs-buy, and integration analyses Prepare structured recommendations and executive-ready decision materials What we expect: 5+ years of Business Analysis or Product Analysis experience in life sciences, biotech, or data-intensive environments Scientific background in life sciences, computational biology, bioinformatics, genetics, or a related scientific discipline Experience evaluating scientific platforms, vendors, or technology solutions Understanding of system integrations, APIs, data flows, and platform architecture Experience with RFP/RFI processes, vendor evaluations, and fit-gap analysis Excellent stakeholder management, communication skills, and English proficiency Willingness to travel to the UK when required Nice to have: Experience with platforms such as Databricks, Genestack, PlutoBio, or similar Exposure to AI/ML, knowledge management, research data platforms, or FAIR data principles We offer: Competitive compensation Remote work Flexible working hours A team with excellent tech expertise