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.
Requirements
- 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.
We offer
- Competitive compensation
- Remote or office work
- Flexible working hours
- A team with excellent tech expertise
