Principal Epidemiological Programming Lead

Cytel; Hartford (CT); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Cytel is seeking an Associate Director of Epidemiological Statistical Programming to lead and mentor a team of statisticians and programmers in epidemiology and real‑world evidence studies. You will design, implement, and review complex SAS and/or R analyses, ensuring accuracy and reproducibility across therapeutic areas.

You will collaborate with epidemiologists, data scientists, and cross‑functional partners to deliver high‑quality evidence for regulatory and clinical development.

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.

Responsibilities

• Provide technical and functional leadership to statistical programmers supporting epidemiological and real‑world evidence (RWE) studies, including mentoring team members, providing technical guidance, and promoting consistent, high‑quality programming practices.
• Lead and contribute hands‑on to statistical programming activities for epidemiological studies across multiple therapeutic areas, translating study objectives, protocols, and statistical analysis plans into robust and reproducible analytical solutions.
• Develop, validate, and maintain high‑quality SAS and/or R programs to support the creation of analysis datasets, statistical outputs, tables, figures, and other data products required for epidemiological research and evidence generation.
• Partner closely with epidemiologists, statisticians, data scientists, and other cross‑functional stakeholders to determine appropriate programming approaches and ensure analyses are implemented accurately and efficiently.
• Provide expert technical consultation on complex programming, data, and analytical challenges, identifying appropriate solutions and advising team members and project stakeholders on best practices.
• Oversee and review programming deliverables to ensure accuracy, reproducibility, consistency, quality, and adherence to agreed timelines and standards.
• Support programming activities using a variety of real‑world and observational data sources, which may include administrative claims, electronic health records, registries, and other healthcare databases.
• Lead or contribute to the development of analysis‑ready datasets and programming specifications, including data transformations, derivation logic, quality‑control procedures, and documentation necessary to ensure transparent and reproducible analyses.
• Establish, enhance, and promote programming standards, reusable tools, macros, code libraries, documentation, and quality‑control processes that improve efficiency and consistency across epidemiological projects.
• Drive continuous improvement and identify opportunities for automation, standardization, and innovative programming approaches that enhance the scalability and quality of epidemiological programming activities.
• Contribute to the planning and prioritization of programming activities across projects, proactively identifying resource needs, technical risks, dependencies, and potential challenges to successful delivery.
• Support scientific deliverables including regulatory and health authority requests, publications, abstracts, presentations, evidence‑generation activities, and other analyses supporting clinical development, medical affairs, and/or value and access objectives.
• Ensure programming activities are conducted in accordance with applicable regulatory requirements, company policies, SOPs, data privacy requirements, and industry best practices.
• Lead or contribute to the development and maintenance of SOPs, work instructions, programming conventions, and other documentation governing epidemiological statistical programming activities.
• Foster strong collaboration across internal and external teams and contribute to the development of programming talent through coaching, knowledge sharing, technical review, and mentorship.

Skills

Leadership

SAS

R

Mentoring

Epidemiology

Real‑world evidence

Programming

Cross‑functional collaboration

Education

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

Tools

SAS

R

Optum

Truveta

Job description

Cytel is seeking an Associate Director of Epidemiological Statistical Programming to lead and mentor a team of statisticians and programmers in epidemiology and real‑world evidence studies. You will design, implement, and review complex SAS and/or R analyses, ensuring accuracy and reproducibility across therapeutic areas.

You will collaborate with epidemiologists, data scientists, and cross‑functional partners to deliver high‑quality evidence for regulatory and clinical development.