About the role

Role Overview

Data Scientist (Strategic Analytics, Value & Economics) supporting healthcare consulting engagements. You’ll be embedded with consultants, economists, and policy experts to design and execute advanced healthcare claims analyses and observational research using Medicare, Medicaid, and PED data.

Responsibilities

Design and execute modeling for Medicare, Medicaid, commercial claims, EHR, and other healthcare datasets
Analyze treatment patterns, healthcare costs, utilization, and clinical outcomes to generate real-world evidence (RWE)
Develop scalable analytics using SAS, SQL, R, and/or Python
Produce client deliverables: executive presentations, technical reports, dashboards, and analytical summaries
Translate complex analyses into actionable insights for life sciences clients
Collaborate with multidisciplinary teams on market access, reimbursement, pricing strategy, and healthcare policy
Maintain analytical quality via program validation, documentation, and QA processes

Requirements

Master’s or PhD in Biostatistics, Epidemiology, Data Science, Public Health, Health Economics, Computer Science, or a quantitative field
Hands-on PED data experience (non-negotiable)
1+ year professional experience using SAS
2+ years healthcare analytics experience in HEOR/RWE/observational research
Knowledge of Medicare/Medicaid reimbursement and healthcare policy

Nice-to-Haves

Experience with CMS CCW, VRDC, or Medicaid T-MSIS data
Experience supporting market access, payer strategy, pricing & reimbursement, or value evidence initiatives

About BioLink 360

BioLink 360 is partnering with a rapidly growing healthcare consulting organization to support life sciences clients with evidence generation and strategic analytics. The work focuses on real-world evidence (RWE), health economics and outcomes research (HEOR), and market access, pricing, and reimbursement decision-making.