Associate Director, Data Engineering (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 Engineering (Real World Data)
Builds
Scalable data infrastructure (pipelines, data models, lakes/marts) and analysis-ready datasets for drug development.
Domain
Pharma/Biotech, Real-World Data, Drug Development
Deliverable
production ML models | product features | dashboards & analysis
Required skills
RWD domain expertise, data engineering (pipelines, ingestion, data lakes), biomedical ontologies (ICD, SNOMED CT, MedDRA, RxNorm, ATC), OMOP CDM harmonization, vendor management, AI/ML tools (LLMs), data quality rigor
Preferred skills
PhD in biomedical informatics/epidemiology, large-scale biobank/platform experience (UK Biobank, FinnGen), causal inference/trial simulation methods, regulated environment production experience
Technologies
OMOP CDM, EHR/EMR, claims data, registries, genomics-linked cohorts, large language models
Responsibilities
Lead RWD Intelligence function owning data strategy and dataset delivery; Architect and maintain scalable data infrastructure across heterogeneous sources; Drive adoption of harmonization frameworks and AI/ML tools for entity resolution; Manage RWD vendor relationships and data procurement; Partner with cross-functional teams to productize ad hoc pipelines into scalable systems; Foster culture of data quality and reproducibility
Seniority
Senior, hands-on IC with people management
