Lead Epidemiology Statistical Programmer

Cytel; Juneau (AK); On-site; USD 180,000 - 240,000; Full time

Job summary

Cytel is seeking an Associate Director in Epidemiological Statistical Programming to lead and mentor a team, while delivering sophisticated analyses for epidemiological and real-world evidence studies. You will translate study objectives into reproducible programming strategies and ensure timely, high-quality outputs.

You will mentor colleagues, promote best practices, and collaborate with cross-functional partners to drive automation and scalable programming solutions across multiple

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.
• 8+ years of relevant statistical programming experience within pharma/biotech/CRO/healthcare/life sciences.
• Experience with Optum and Truveta.
• Advanced programming in SAS and/or R; develop, validate, and maintain complex analytical programs.

Responsibilities

• Provide technical and functional leadership to statistical programmers.
• Lead and contribute hands-on to statistical programming activities for epidemiological studies.
• Develop, validate, and maintain high-quality SAS and/or R programs for analysis datasets, tables, figures, and data products.
• Partner with epidemiologists, statisticians, data scientists, and cross-functional stakeholders to determine programming approaches.
• Provide expert technical consultation on complex programming, data, and analytical challenges.

Skills

SAS programming

R programming

Epidemiology

Real-world evidence (RWE)

Mentoring

Leadership

Communication

Education

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

Tools

Optum

Truveta

Job description

Cytel is seeking an Associate Director in Epidemiological Statistical Programming to lead and mentor a team, while delivering sophisticated analyses for epidemiological and real-world evidence studies. You will translate study objectives into reproducible programming strategies and ensure timely, high-quality outputs.

You will mentor colleagues, promote best practices, and collaborate with cross-functional partners to drive automation and scalable programming solutions across multiple