[Hiring] Associate Director, Epidemiological Statistical Programming @Cytel

Role Description

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.

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.

Responsibilities include:

• Provide technical and functional leadership to statistical programmers supporting epidemiological and real-world evidence (RWE) studies.
• Lead and contribute hands-on to statistical programming activities for epidemiological studies across multiple therapeutic areas.
• Develop, validate, and maintain high-quality SAS and/or R programs.
• Partner closely with epidemiologists, statisticians, data scientists, and other cross-functional stakeholders.
• Provide expert technical consultation on complex programming, data, and analytical challenges.
• Oversee and review programming deliverables to ensure accuracy and quality.
• Support programming activities using a variety of real-world and observational data sources.
• Lead or contribute to the development of analysis-ready datasets and programming specifications.
• Establish, enhance, and promote programming standards and quality-control processes.
• Drive continuous improvement and identify opportunities for automation and standardization.
• Contribute to the planning and prioritization of programming activities across projects.
• Support scientific deliverables including regulatory and health authority requests.
• Ensure programming activities are conducted in accordance with applicable regulatory requirements.
• Lead or contribute to the development and maintenance of SOPs and work instructions.
• Foster strong collaboration across internal and external teams.

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.
• 8+ years of relevant statistical programming experience within the pharmaceutical, biotechnology, CRO, healthcare, or life sciences industry.
• Experience with Optum and Truveta.
• Advanced programming expertise in SAS and/or R.
• Strong experience working with large and complex healthcare data sources.
• Demonstrated understanding of epidemiological study designs and statistical analysis methods.
• Proven ability to provide technical leadership and guidance to statistical programmers.
• Experience leading or coordinating programming activities across multiple projects.
• Experience overseeing and reviewing programming deliverables.
• Strong commitment to programming quality and reproducibility.
• Ability to work independently and manage multiple priorities.
• Excellent written and verbal communication skills.
• Strong collaboration and leadership skills.

Preferred Qualifications (Nice to Have)

• Master’s degree or higher in Statistics, Biostatistics, Epidemiology, Data Science, Computer Science, or another relevant quantitative discipline.
• Experience programming across multiple epidemiological and real-world data sources.
• Experience supporting regulatory-grade RWE and regulatory submissions.
• Experience with additional programming languages and analytical tools.
• Experience developing reusable programming tools and automated workflows.
• Experience contributing to programming standards and organizational best practices.
• Experience with cloud-based analytics platforms and/or modern data environments.