Principal Real-World Evidence Programmer

Cytel

Phoenix (AZ)

Vor Ort

USD 130.000 - 190.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Cytel Inc. in Phoenix, AZ is seeking a senior RWE analytics professional to support Epidemiology with real-world data, study protocols, and data strategies.

You will collaborate with epidemiologists and statisticians, manage data extracts, build analytical databases, run analyses (OLS, Cox, GLM), produce tables/figures, and present findings to clients. Master’s or PhD in epidemiology/biostatistics, 5+ years RWE analytics, strong SQL/SAS/R skills, and experience with large claims/EHR data are

Qualifikationen

  • Master’s or PhD in epidemiology, biostatistics, statistics, bioinformatics or economics.
  • 5+ years of experience conducting RWE analytics in pharma, CRO or academia.
  • Proficiency in SQL; SAS or R required; familiarity with large data sources.

Aufgaben

  • Assist in study protocols and analysis plans using large RWD (claims/EHR).
  • Liaise with data vendors to obtain data extracts aligned with study protocols.
  • Create analytical databases to facilitate data analyses.
  • Conduct analyses per study protocols and analysis plans.
  • Produce tables/figures for discussions with investigators and clients.
  • Present results internally and to clients; assist in study reports.
  • May assume supervisory responsibilities in the future.

Kenntnisse

SQL
SAS
R
Relational databases
Propensity weighting

Ausbildung

Master’s or PhD in Epidemiology

Tools

Optum Clinformatics
Truveta

Jobbeschreibung

Cytel Inc. in Phoenix, AZ is seeking a senior RWE analytics professional to support Epidemiology with real-world data, study protocols, and data strategies.

You will collaborate with epidemiologists and statisticians, manage data extracts, build analytical databases, run analyses (OLS, Cox, GLM), produce tables/figures, and present findings to clients. Master’s or PhD in epidemiology/biostatistics, 5+ years RWE analytics, strong SQL/SAS/R skills, and experience with large claims/EHR data are

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