Vice President, AI Research and Real-World Evidence

The role

The Vice President of AI Research and Real-World Evidence owns the scientific agenda, model methodology, clinical validation, and evidence generation for FL113. You will lead a multidisciplinary research team and define scientific requirements to support product development and regulatory strategy.

What you will do

• Own and evolve a multi-year research roadmap.
• Translate research roadmap into milestones and resource requirements.
• Define standards for data quality, model validation, and responsible AI use.
• Oversee model development and validation across health data.
• Define scientific acceptance criteria and productization requirements.
• Design and oversee retrospective and prospective clinical studies.
• Establish real-world evidence strategy for product performance and utility.
• Recruit, lead, and develop a multidisciplinary research team.
• Communicate results and scientific risks to internal and external stakeholders.
• Build scientific credibility through publications and external collaborations.

Required qualifications

• PhD or master’s degree in biostatistics, computational biology, epidemiology, mathematics, computer science, or another relevant quantitative discipline.
• Deep healthcare or life-sciences experience.
• At least 12 years of experience across AI research, health data science, clinical evidence generation, or product development.
• Success in early-stage or zero-to-one environments.
• Deep hands-on expertise in machine learning for structured and unstructured health data.
• Experience taking clinical AI models from research through real-world validation and into production.
• Experience designing, executing, and interpreting retrospective and prospective clinical studies.
• Fluency with Python, PyTorch, scikit-learn, and AI-enabled development workflows.
• Strong working knowledge of health data sources including electronic health records, claims, omics, wearables, and digital biomarkers.
• Working knowledge of healthcare data standards and clinical vocabularies such as FHIR, HL7, OMOP, SNOMED, LOINC, ICD, CPT, and RxNorm.
• Familiarity with healthcare privacy, security, and compliance requirements, including HIPAA, HITRUST, and SOC 2.
• Experience communicating with clinicians, key opinion leaders, customers, executives, and other audiences.

Nice to have

• Thrive in ambiguity and are energized by zero-to-one company building.
• Pair scientific rigor with sound entrepreneurial judgment.
• Track record of building, leading and inspiring high-performing, multidisciplinary teams.
• Communicate complex methods, results, limitations, and decisions with clarity.
• AI-native, relentlessly applying agentic tools and workflows.

Benefits

• Healthcare coverage
• Annual incentive program
• Retirement benefits
• Broad range of other benefits

About the company

FL113 is a fast-moving AI diagnostics company that is part of the Flagship Pioneering ecosystem. Flagship Pioneering is a venture-creation platform that builds platform companies to transform human health, sustainability and beyond.