Senior RWE Programmer for Epidemiology Studies

Cytel

Indianapolis (IN)

On-site

USD 120,000 - 150,000

Full time

14 days+
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Job summary

Cytel Inc. in the United States seeks an experienced epidemiology/RWE analyst to prepare real-world data, advise on analytic strategies, and support stakeholders across pharmacovigilance and clinical development.

You will collaborate with epidemiologists to build analytical databases, perform SQL/SAS/R analyses, and present results to clients. You will work with data vendors, ensure timely project delivery, and may assume supervisory responsibilities in the future as you contribute to

Qualifications

  • Master’s degree or PhD in epidemiology, biostatistics, statistics, bioinformatics, economics with 5+ years of RWE analytics experience.
  • Must have intermediate to expert SQL; SAS or R proficiency required.
  • Deep expertise analyzing RWE sources such as Optum Clinformatics Datamart, Truveta, UK Biobank.
  • Experience with relational databases and claims/registry data formats.
  • Experience with regression, survival, and propensity weighting analyses.

Responsibilities

  • Assist in development of study protocols and analysis plans using large RWD sources.
  • Liaise with data vendors for data extracts and create analytical databases.
  • Conduct analyses per study protocols and generate tables/figures for reports.
  • Present results to investigators and clients; contribute to study reports.
  • Possibility of supervisory responsibilities in the future.

Skills

5+ years RWE analytics
Strong communication

Education

Master’s degree or PhD in epidemiology/biostatistics/related field

Tools

SQL
SAS
R

Job description

Cytel Inc. in the United States seeks an experienced epidemiology/RWE analyst to prepare real-world data, advise on analytic strategies, and support stakeholders across pharmacovigilance and clinical development.

You will collaborate with epidemiologists to build analytical databases, perform SQL/SAS/R analyses, and present results to clients. You will work with data vendors, ensure timely project delivery, and may assume supervisory responsibilities in the future as you contribute to

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