Business Analyst — In Silico Strategic

Responsibilities:

• Define benefit hypotheses for computational biology, evidence-integration, and AI/ML capabilities.
• Develop KPIs and baselines covering time from data to insight, data-preparation effort, workflow reproducibility, data reuse, target confidence, evidence quality, target-prioritization lead time, and access to genetics, omics, clinical, and real-world evidence data.
• Define benefit-measurement methods, data sources, and benefit owners.
• Develop the quantified In Silico benefits case and prepare investment decision materials.
• Build implementation roadmaps, manage dependencies, and support RAID management and program governance.
• Prepare Gate and steering committee materials.
• Combine scientific, technical, and commercial considerations into coherent recommendations for senior decision-makers.

What we expect:

• 5+ years of experience in business 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 setting, and benefit-measurement approaches.
• Ability to assess and quantify improvements across productivity, lead time, quality, capacity, and decision confidence in a research or drug discovery context.
• Experience developing implementation roadmaps, managing dependencies, and supporting RAID management, program governance, and Gate preparation.
• Experience preparing investment decision materials for senior or executive audiences.
• Proven ability to combine scientific, technical, and commercial considerations into a coherent recommendation.
• Strong executive communication, analytical, and presentation skills.
• Willingness to travel to the UK when required.

You will define and quantify the strategic benefits of the In Silico digital transformation program, working across computational biology, evidence integration, and AI/ML capabilities. The role sits at the intersection of scientific understanding, commercial reasoning, and program governance — translating complex research improvements into investment-ready business cases and measurable outcomes that senior stakeholders can act on.

• Competitive compensation
• Remote or office work
• Flexible working hours
• A team with excellent tech expertise