Scientific Business Analyst – In Silico Process Mapping

You'll work closely with computational scientists, bioinformaticians, geneticists, data scientists, architects, and engineering teams to analyze and improve scientific workflows. The role focuses on translating complex computational biology processes into clear business requirements, process maps, and solution recommendations to support digital transformation across research and drug discovery. Responsibilities: Facilitate 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, system integrations, and cross-workflow dependencies Support capability assessments, platform evaluations, and operating model 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 integration, and scientific workflows Strong stakeholder management, workshop facilitation, and communication skills Excellent English 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, research data platforms, metadata governance, or FAIR principles We offer: Competitive compensation Remote or office work Flexible working hours A team with excellent tech expertise