Senior Epidemiology Programming Lead

Cytel; Topeka (KS); Sur place; USD 180 000 - 240 000; Plein temps

Résumé du poste

Cytel seeks an Associate Director, Epidemiological Statistical Programming to lead and mentor a team of statistical programmers. You will translate study objectives into robust SAS/R solutions and guide projects across epidemiology and real-world evidence.

You will collaborate with epidemiologists, data scientists and CROs, drive quality, reproducibility, and automation, and support regulatory deliverables while advancing programming standards.

Qualifications

• Bachelor’s degree or higher in Statistics, Biostatistics, Epidemiology, Computer Science, Data Science, Mathematics, or a related quantitative discipline; advanced degree is a plus.

Responsabilités

• Lead and provide technical leadership to statistical programmers supporting epidemiological and real-world studies, including mentoring.
• Lead hands-on programming activities for epidemiological studies, translating objectives into robust analytical solutions.
• Develop, validate, and maintain SAS and/or R programs for analysis datasets, outputs, tables, figures.
• Partner with epidemiologists, statisticians, data scientists to determine programming approaches.
• Provide expert technical consultation on complex programming, data, and analytical challenges.
• Oversee and review programming deliverables for accuracy, reproducibility, and timelines.
• Support programming activities using real-world data sources (claims, EHR, registries).
• Develop analysis-ready datasets and programming specifications with data transformations and QC.
• Establish and promote programming standards, reusable tools, macros, and documentation.

Connaissances

SAS

R

Formation

Bachelor’s degree or higher in Statistics/Biostatistics/Epidemiology/Computer Science/Data Science/Mathematics

Master’s degree or higher (preferred)

Outils

Optum

Truveta

Python

SQL

R

Git

Unix/Linux

R Markdown/Quarto

Description du poste

Cytel seeks an Associate Director, Epidemiological Statistical Programming to lead and mentor a team of statistical programmers. You will translate study objectives into robust SAS/R solutions and guide projects across epidemiology and real-world evidence.

You will collaborate with epidemiologists, data scientists and CROs, drive quality, reproducibility, and automation, and support regulatory deliverables while advancing programming standards.