Senior Epidemiology Programming Lead (RWE/SAS)

Cytel; Phoenix (AZ); Sur place; USD 180 000 - 240 000; Plein temps

Résumé du poste

Cytel is seeking an Associate Director of Epidemiological Statistical Programming to lead and mentor a team delivering complex analyses for global pharmaceutical clients. This senior role combines technical mastery with strategic planning and cross-functional collaboration.

You will develop SAS and R programs, ensure reproducible workflows, manage CROs, and drive standards across epidemiology and real-world evidence studies.

Qualifications

• 8+ years of statistical programming experience in pharma/biotech or CRO.
• Experience with epidemiology, observational studies and real-world evidence (RWE).
• Advanced SAS and/or R programming skills with reproducible workflows.
• Experience with large healthcare data sources (claims, EHR, registries).
• Proven leadership and mentoring abilities.
• Ability to manage multiple projects and timelines.

Responsabilités

• Provide technical and functional leadership to statistical programmers in epidemiology/RWE.
• Lead hands-on programming for epidemiological studies and translate study objectives into analyses.
• Develop, validate, and maintain SAS and/or R programs for datasets, tables, figures, and outputs.
• Collaborate with epidemiologists, statisticians, data scientists, and other stakeholders.
• Provide expert technical consultation on complex programming and data challenges.

Connaissances

Leadership

Mentoring

Statistical programming

Epidemiology

Regulatory knowledge

Formation

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

Outils

SAS

R

Optum

Truveta

Python

SQL

Description du poste

Cytel is seeking an Associate Director of Epidemiological Statistical Programming to lead and mentor a team delivering complex analyses for global pharmaceutical clients. This senior role combines technical mastery with strategic planning and cross-functional collaboration.

You will develop SAS and R programs, ensure reproducible workflows, manage CROs, and drive standards across epidemiology and real-world evidence studies.