Remote Principal RWD Analyst – Long-Term FSP

SimulStat; USA; Remote; USD 130.000 - 180.000; Vollzeit

Zusammenfassung

SimulStat Incorporated in the United States is seeking a Principal RWD Analyst to lead programming and analyses for HEOR, commercial and medical affairs studies, with a focus on rigorous comparative analyses of claims data.

This remote, long-term FSP role emphasizes building analytic cohorts from large claims and EHR sources, applying propensity score methods, survival analysis and GLMs, and preparing results for regulatory and payer use.

Qualifikationen

• Master's degree in epidemiology, biostatistics, health services research, public health or related quantitative field.
• 6+ years of hands-on RWD programming experience or a PhD with 3+ years.
• Extensive experience with commercial claims (MarketScan, Optum, Komodo) and EHR data.
• Strong SQL and SAS programming skills on large databases.

Aufgaben

• Build analytic cohorts and datasets from large administrative claims and EHR sources.
• Program and conduct analyses per study protocols and SAPs.
• Run comparative analyses (propensity score, survival, GLMs) for regulatory, payer and publication use.
• Review and help develop protocols and SAPs; flag data/methods issues early.
• Support ad hoc and descriptive requests from HEOR and medical affairs stakeholders.
• Document programs and results to a standard suitable for internal and external review.

Kenntnisse

RWD programming

SAS programming

SQL

Propensity score methods

Survival analysis

GLMs

Data interpretation

EHR data

Ausbildung

Master's degree in epidemiology/biostatistics

PhD with 3+ years experience

Tools

MarketScan

Optum

Komodo

ICD-10

CPT/HCPCS

NDC codes

Jobbeschreibung

SimulStat Incorporated in the United States is seeking a Principal RWD Analyst to lead programming and analyses for HEOR, commercial and medical affairs studies, with a focus on rigorous comparative analyses of claims data.

This remote, long-term FSP role emphasizes building analytic cohorts from large claims and EHR sources, applying propensity score methods, survival analysis and GLMs, and preparing results for regulatory and payer use.