Scientific Business Analyst – In Silico Product & Vendor Evaluation

The vacancy has been archived and is no longer active

Main requirements

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

What you will do

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.