Associate Director, Data Science (Real World Data)
Core
Lead strategy and execution of real-world data (RWD) capabilities to power drug acquisition, clinical development, and portfolio decision-making.
Role type
Associate Director, Data Science (Real World Data)
Builds
Scalable RWD infrastructure (pipelines, data models, lakes/marts) and analysis-ready datasets for drug development.
Domain
Biopharma / Real-World Data / Drug Development
Deliverable
production ML models
Required skills
RWD domain expertise, data engineering, biomedical ontologies (ICD, SNOMED CT, MedDRA, RxNorm, ATC), OMOP CDM, vendor management, AI/ML tools, LLMs
Preferred skills
PhD in biomedical informatics, large-scale biobank platform experience, causal inference, trial simulation, propensity score methods
Technologies
OMOP CDM, EHR/EMR, claims, registries, genomics-linked cohorts, large language models
Responsibilities
Architect and maintain RWD infrastructure across heterogeneous sources; drive adoption of harmonization frameworks; manage RWD vendor relationships; partner with cross-functional teams to define RWD use cases; foster data quality rigor.
Seniority
Senior, hands-on IC with people management