business analyst

Quantori is an international team that provides services in the fields of computational biology, evidence integration, and AI/ML capabilities.

• 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.

• 5+ Years of experience in business analysis, strategy, or program delivery in life sciences, biotech, data, or AI/ML transformation environments;
• 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.

• Competitive compensation;
• Flexible working hours.