Vice President, AI Research and Real-World Evidence
Flagship Pioneering - Cambridge, MA
Hiring: Vice President, AI Research and Real-World Evidence Company: Flagship Pioneering Location: Cambridge, MA Job Posted Time: 2026-09-15 17:58:09 Employment Type: Full-time Target Skills & Keywords: AI Research, Real-World Evidence, Predictive Modeling, Causal Inference, Longitudinal Analysis, Model Validation, Clinical Validation, Deep Learning, Survival Analysis, Health Data, Regulatory Strategy, Scientific Leadership, Responsible AI Experience: - Senior leadership experience owning a scientific agenda, model methodology and performance, clinical validation, and evidence generation - Proven track record leading research roadmaps spanning predictive modeling, causal inference, and longitudinal analysis - Experience overseeing model development and validation across structured and unstructured health data - Experience working cross-functionally with Engineering, Product, and GTM leaders, as well as customers and health-system partners - Experience mentoring research scientists and upholding scientific quality across a team Required Skills: - Ability to set and evolve multi-year research roadmaps informed by scientific, clinical, product, and market evidence - Strong command of causal inference, deep learning, survival analysis, and longitudinal modeling - Expertise in defining data quality, model validation, study design, reproducibility, and responsible AI standards - Ability to translate research roadmaps into milestones, decision gates, and resource requirements - Skill in connecting model performance to clinical value, customer ROI, and development time - Experience applying AI-enabled tools and agentic workflows to accelerate research, experimentation, and analysis - Ability to define research dataset requirements, analytical schemas, feature definitions, and data-quality criteria - Strong judgment in indication selection, data strategy, modeling approach, endpoints, and validation criteria Qualifications: - Demonstrated leadership in AI research and real-world evidence generation - Deep understanding of clinical validation and regulatory strategy - Proven ability to drive product-market fit through evidence from models, pilots, and customers - Strong cross-functional collaboration and stakeholder engagement skills - Commitment to scientific rigor, model performance, and responsible use of AI Compensation: Not specified Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!