Principal RWD Analyst

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

Remote, long-term FSP role

About the role

Our client, a growing commercial-stage biotech, is bringing real world data in-house and expanding its EPI/RWE analytics team. The Principal RWD Analyst will lead programming and analysis for HEOR, commercial and medical affairs studies, with a focus on rigorous comparative analyses of commercial claims data.

Responsibilities

• Build analytic cohorts and datasets directly from large administrative claims and EHR sources
• Program and conduct analyses consistent with study protocols and statistical analysis plans
• Run comparative analyses (propensity score methods, survival analysis, generalized linear models) suitable for regulatory, payer and publication use
• Review and help develop protocols and analysis plans, flagging data and methods issues early
• Support ad hoc and descriptive requests from HEOR, commercial and medical affairs stakeholders
• Document programs and results to a standard that holds up to internal and external review

Requirements

• Master’s degree in epidemiology, biostatistics, health services research, public health or a related quantitative field with 6+ years of hands‑on RWD programming experience, or a PhD with 3+ years
• Extensive hands‑on experience with commercial claims (MarketScan, Optum, Komodo) andEHR;Medicare LDS SAF is a plus
• Proven experience building study cohorts, outcomes and comorbidity measures from raw claims and EHR data using ICD-10, CPT/HCPCS and NDC codes, including published code algorithms
• Advanced SAS programming and strong SQL on large databases
• Applied experience with propensity score matching or weighting, survival analysis and GLMs
• Ability to interpret and provide input to protocols and SAPs is helpful
• Experience supporting regulatory submissions or label-related analyses
• R proficiency is a plus