Data Modeler – Commercial Life Sciences - 100% Remote

Role: Data Modeler – Commercial Life Sciences - 100% Remote
Role Overview
We are seeking a Data Modeler to support a Databricks unified data platform initiative focused on building a common data model and reusable data products such as Patient Journey and HCP 360. The ideal candidate will possess hands-on data modeling expertise and strong experience working with commercial life sciences data.
Key Responsibilities
Design conceptual, logical, and physical data models across patient, HCP, HCO, product, payer, and commercial activity domains.
Define modeling standards across Bronze, Silver, and Gold medallion layers.
Establish harmonized entities in the Silver layer and consumption-ready data products in the Gold layer.
Translate business requirements into entity relationships, data grain, shared dimensions, business definitions, and historical tracking.
Develop source-to-target mappings and reusable data structures supporting multiple data products.
Collaborate with business SMEs, architects, and engineers on identity resolution, data quality, lineage, governance, and patient privacy initiatives.
Required Qualifications
Strong SQL skills and experience with enterprise, dimensional, and canonical data modeling.
Experience with Databricks, Delta Lake, and Medallion Architecture.
Strong working knowledge of commercial life sciences data sources, including:
Prescription and claims data (IQVIA, Symphony Health)
CRM platforms (Veeva)
HCP/HCO reference data
Specialty pharmacy and patient hub data feeds
Payer and formulary datasets
Understanding of data structures, granularity, refresh cycles, coverage limitations, and patient/provider linkage methodologies.
Experience translating commercial use cases such as Patient Journey Analytics and HCP 360 into scalable data models.