CareSet is a company focused on transforming healthcare data into actionable insights. They are seeking a Senior Healthcare Data Analytics Engineer to build clinical algorithms and deliver market access intelligence while serving as a technical consultant to pharmaceutical and life sciences partners.
Responsibilities:
- Build Clinical Algorithms That Actually Matter
- Deliver Market Access Intelligence
- Serve as a Technical Consultant
- Contribute to Public Impact Work
- Elevate the Team
Requirements:
- 7+ years working with complex healthcare claims data
- At least 5 years in a pharma-facing context — RWE, HEOR, market access analytics, or analytics consulting at a pharmaceutical manufacturer, life sciences consultancy, or data vendor
- Expert-level Python and/or SAS for large-scale healthcare data engineering
- Strong SQL
- Proficiency in at least one major cloud data platform — Databricks, Snowflake, Azure Fabric, or Redshift
- Familiarity with standard medical coding systems: ICD-9/10, CPT, NDC, HCPCS
- Working knowledge of the U.S. managed markets landscape — PBM and payer contracting, formulary structures, prior authorization, specialty pharmacy distribution channels
- Advanced degree (MS, MPH, PharmD, MBA, or PhD) in Epidemiology, Biostatistics, Health Economics, Health Informatics, Pharmaceutical Sciences, or a closely related field
- Experience integrating IQVIA, MMIT, specialty pharmacy, or patient services data with claims-level evidence
- Direct experience with CMS research data environments or Medicare Part D prescription drug event files
- Peer-reviewed publications or conference presentations using claims-based RWE methods
- LOT or treatment sequence algorithms built for oncology, hematology, or another complex specialty area used in a regulatory, HEOR, or payer submission
- Any involvement in data journalism, public health transparency work, or open-data initiatives