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.