Flagship Pioneering
Vice President, AI Research and Real-World Evidence
$263K–$346K
Cambridge, MA USA +1 · Director · Full-time · Posted Sep 14, 2026
- Location
- Cambridge, MA USA
FL113 - Experience
- At least 12 years; across AI research, health data science, clinical evidence generation, or product development, including early-stage or zero-to-one environments.
- Education
- PhD or master’s degree in biostatistics, computational biology, epidemiology, mathematics, computer science, or another relevant quantitative discipline, combined with deep healthcare or life-sciences experience.
About the job
Leads FL113’s AI research, model validation, clinical evidence generation, and research organization to establish product readiness and support customer adoption and regulatory strategy.
What you'll do
- Set the research roadmap and scientific standards for model quality, validation, and responsible AI use.
- Oversee clinical AI model development, evaluation, and readiness for production or customer pilots in partnership with Engineering and Product.
- Lead clinical studies, real-world evidence strategy, customer pilots, and a multidisciplinary research team.
What they ask for
- At least 12 years of experience across AI research, health data science, clinical evidence generation, or product development, including success in early-stage or zero-to-one environments.
- Deep hands-on expertise in machine learning for structured and unstructured health data, including causal inference, deep learning, survival analysis, and longitudinal modeling.
- Experience taking clinical AI models from research through real-world validation and into production, and designing, executing, and interpreting retrospective and prospective clinical studies.
- Fluency with Python, PyTorch, scikit-learn, and AI-enabled development workflows.
Nice to have
- Track record of building and leading high-performing multidisciplinary teams in fast-moving environments.
- Experience communicating with clinicians, key opinion leaders, customers, executives, and technical and nontechnical audiences.
Pay
$263,000 - $346,500 USD base salary
Tools
Python, PyTorch, scikit-learn, FHIR, HL7, OMOP, SNOMED, LOINC
AI focus
Leads AI research and clinical model development, validation, and evidence generation; applies AI-enabled tools and agentic workflows to accelerate research, experimentation, analysis, and team productivity.
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