Vice President, AI Research and Real-World Evidence
Core
Define the scientific agenda, model methodology, and real-world evidence strategy for AI diagnostics products to enable proactive care and regulatory readiness.
Role type
VP of AI Research and Real-World Evidence (Strategy & Leadership)
Builds
Scientific roadmap, model validation plans, clinical evidence studies, and product readiness criteria for AI health diagnostics.
Domain
AI Diagnostics / Healthcare / Real-World Evidence
Deliverable
production ML models | research | client delivery
Required skills
Causal inference, deep learning, survival analysis, longitudinal modeling, clinical study design, health data strategy, scientific communication, team leadership, regulatory strategy alignment
Preferred skills
Zero-to-one company building, key opinion leader engagement, biostatistics expertise, health economics
Technologies
Python, PyTorch, scikit-learn, FHIR, HL7, OMOP, SNOMED, LOINC, ICD, CPT, RxNorm
Responsibilities
Set multi-year research roadmap spanning predictive modeling and causal inference; Define model validation criteria and product readiness plans; Design and oversee retrospective and prospective clinical studies; Lead a multidisciplinary research team; Establish real-world evidence strategy for clinical utility and economic benefit.
Seniority
Executive (VP), hands-on IC with strategic oversight