Principal Data Engineer (RWE)
Core
Build scalable data products and pipelines for Real World Evidence (RWE), observational research, epidemiology studies, and AI-ready datasets from complex healthcare data.
Role type
Principal Data Engineer (RWE)
Builds
Patient-level data products, dashboards, and analytical outputs for RWE studies and generative AI use cases.
Domain
Healthcare analytics, Real World Evidence, Epidemiology
Deliverable
production ML models | product features
Required skills
OMOP Common Data Model (v5.4/v6), Healthcare standards (SNOMED CT, RxNorm, ICD-10, LOINC), Databricks, PySpark, Spark SQL, Delta Lake, FAIR data principles, Power BI, Data profiling and validation
Preferred skills
R, sparklyR, R Shiny, OHDSI tools, Azure Data Platform, Therapeutic area exposure (Oncology, Respiratory, Immunology, Infectious Diseases)
Technologies
Databricks, PySpark, Spark SQL, Delta Lake, Power BI, R, Azure
Responsibilities
Develop automated data processes for patient-level data products; Transform raw datasets into structured RWE data products; Convert heterogeneous datasets into reusable OMOP models; Build FAIR data pipelines and semantic frameworks; Develop AI-ready datasets; Engage with epidemiologists and stakeholders to translate requirements; Design testing and validation approaches for data quality; Troubleshoot ETL processes.
Seniority
Principal, hands-on IC with strategic scope
