Associate Director, Epidemiological Statistical Programming FSP

Sponsor-dedicated:

Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you’ll be at the heart of our client’s innovation. As a Principal Statistical Programmer you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership.

This is an exciting time to be a part of this new program.

Position Overview:

The Associate Director, Epidemiological Statistical Programming serves as a senior technical leader within the Epidemiology programming function, providing functional guidance, technical expertise, and mentorship to statistical programmers while also contributing directly to complex epidemiological projects. Working with a high degree of independence, this individual translates project and scientific objectives into effective programming strategies, proactively manages priorities and deliverables, and provides expert technical consultation to team members and cross-functional partners.

The Associate Director is responsible for leading and supporting the implementation of statistical programming activities across epidemiological and real-world evidence studies, ensuring that analyses and data outputs are accurate, reproducible, consistent, and delivered to a high standard of quality. This role may provide technical oversight of internal and external programming resources, including CRO partners, and will establish and promote programming standards, efficient processes, and best practices across projects.

In addition to hands‑on project responsibilities, the Associate Director will play an important role in developing programming capabilities within the team by mentoring colleagues, reviewing and advising on technical approaches, identifying opportunities for process improvement and automation, and helping ensure appropriate allocation and execution of programming work. The individual will collaborate closely with epidemiologists, statisticians, data scientists, and other cross‑functional partners to support the generation of high‑quality evidence across multiple therapeutic areas.

As an Associate Director, Epidemiological Statistical Programming, your responsibilities will include:

• 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…