Data Analyst/Health Economist – US Claims & RWE

Lyfegen - United States

Hiring: Data Analyst/Health Economist – US Claims & RWE Company: Lyfegen Location: United States Job Posted Time: 2026-09-16 14:47:51 Employment Type: Contract Target Skills & Keywords : Medicaid, Medicare, Python, R, SQL About the job Experience: •5 years of relevant professional experience. Required Skills: •Analyze large-scale US claims data (Medicare, Medicaid, and/or commercial) and clinical datasets to support pricing and contracting recommendations, in partnership with Lyfegen's US consulting team. •Actively facilitate and support adjudication of signed value-based agreements (VBAs), using Lyfegen's proprietary tools to review claims data and identify and validate rebates the customer is eligible for. •Build and maintain analyses of cost sheets, spending, and utilization data to inform both strategic recommendations and day-to-day contract execution. •Partner cross-functionally with the consulting and product teams to ensure analysis is client-ready, technically sound, and delivered on time. •Maintain rigorous QC and validation standards given the scale and complexity of claims datasets. Qualifications: •Comfortable analyzing large, complex, and sometimes messy healthcare datasets. •Solid functional working knowledge of health economics & outcomes research (HEOR) principles. •Applied hands-on capability in US claims data (Medicare, Medicaid, and/or commercial). •Proficient in SQL; experience with SAS, R, or Python is a strong plus. •Bachelor's degree or higher, with academic training in health economics, biostatistics, epidemiology, public health, or a related quantitative field; advanced degrees preferred. •Around 2–5 years of relevant professional experience. •A proactive, ownership-driven mindset suited to a fast-paced, scale-up environment. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!