Senior Epidemiology Programming Lead

Cytel; Trenton (NJ); Sur place; USD 140 000 - 190 000; Plein temps

Résumé du poste

Cytel is seeking an Associate Director of Epidemiological Statistical Programming to lead and mentor a team of statistical programmers dedicated to epidemiology and real-world evidence studies. You will translate study objectives into robust, reproducible analyses, develop SAS and/or R programs, and ensure high-quality outputs across therapeutic areas.

You will collaborate with epidemiologists, statisticians, data scientists, and CRO partners, driving standards, automation, and scalable

Qualifications

• Bachelor’s degree or higher in Statistics, Biostatistics, Epidemiology, Computer Science, Data Science, Mathematics or related field.
• 8+ years of relevant statistical programming experience in pharma/biotech/CRO/healthcare.
• Experience with SAS and/or R for complex analyses and reproducible workflows.
• Experience with large healthcare data sources (claims, EHR, registries, real-world data).
• Leadership in programming, mentoring, and coordinating across projects.

Responsabilités

• Provide technical leadership to epidemiological programmers, including mentoring and standards.
• Lead hands-on programming for epidemiological and real-world evidence studies.
• Develop, validate, and maintain SAS and/or R programs for datasets and outputs.
• Collaborate with epidemiologists, biostatisticians, data scientists, and cross-functional teams.
• Oversee deliverables for accuracy, reproducibility, and timely delivery.
• Support regulation-ready analyses and evidence-generation activities.

Connaissances

Statistical programming leadership

SAS & R programming

Mentoring & coaching

Epidemiology knowledge

Cross-functional collaboration

Formation

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

Advanced degree a plus

Outils

SAS

R

Optum

Truveta

Description du poste

Cytel is seeking an Associate Director of Epidemiological Statistical Programming to lead and mentor a team of statistical programmers dedicated to epidemiology and real-world evidence studies. You will translate study objectives into robust, reproducible analyses, develop SAS and/or R programs, and ensure high-quality outputs across therapeutic areas.

You will collaborate with epidemiologists, statisticians, data scientists, and CRO partners, driving standards, automation, and scalable