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Associate Director, Epidemiological Statistical Programming
Posted last month
About the role
- Associate Director leading epidemiological statistical programming and real-world evidence analyses for Cytel’s pharmaceutical clients. Developing reproducible SAS/R outputs, standards, and programming talent across therapeutic areas.
Responsibilities
- Provide technical and functional leadership to statistical programmers supporting epidemiological and real-world evidence studies
- Lead and contribute hands-on to statistical programming activities across multiple therapeutic areas
- Develop, validate, and maintain SAS and/or R programs for analysis datasets, statistical outputs, tables, figures, and other data products
- Partner with epidemiologists, statisticians, data scientists, and cross-functional stakeholders on programming approaches
- Provide expert technical consultation on complex programming, data, and analytical challenges
- Oversee and review programming deliverables for accuracy, reproducibility, quality, timelines, and standards
- Support programming using administrative claims, electronic health records, registries, and other healthcare databases
- Develop analysis-ready datasets, programming specifications, derivation logic, quality-control procedures, and documentation
- Establish programming standards, reusable tools, macros, code libraries, documentation, and quality-control processes
- Drive automation, standardization, continuous improvement, and scalable programming approaches
- Plan and prioritize programming activities, identifying resource needs, risks, dependencies, and delivery challenges
- Support regulatory and health authority requests, publications, abstracts, presentations, and evidence-generation activities
- Ensure compliance with regulatory requirements, company policies, SOPs, data privacy requirements, and industry best practices
- Develop and maintain SOPs, work instructions, programming conventions, and related documentation
- Foster collaboration and develop programming talent through coaching, knowledge sharing, technical review, and mentorship
Requirements
- Bachelor’s degree or higher in Statistics, Biostatistics, Epidemiology, Computer Science, Data Science, Mathematics, or a related quantitative discipline
- 8+ years of relevant statistical programming experience in pharmaceutical, biotechnology, CRO, healthcare, or life sciences industry
- Demonstrated experience supporting epidemiological, observational, real-world evidence (RWE), HEOR, and/or related research
- Experience with Optum and Truveta
- Advanced programming expertise in SAS and/or R
- Ability to develop, validate, and maintain complex analytical programs and reproducible programming workflows
- Strong experience with large and complex healthcare data sources, including administrative claims, EHRs, patient registries, or other real-world data
- Understanding of epidemiological study designs, statistical analysis methods, and programming techniques for observational and real-world research
- Ability to provide technical leadership and guidance, mentor colleagues, review programming approaches and deliverables, and resolve complex technical challenges
- Experience leading or coordinating programming activities across multiple projects
- Experience overseeing and reviewing programming deliverables
- Experience with line managing a team
- Commitment to programming quality, reproducibility, documentation, standards, and best practices
- Ability to work independently, exercise sound technical judgment, and manage multiple priorities
- Excellent written and verbal communication skills
- Strong collaboration and leadership skills across multidisciplinary and geographically dispersed teams
Benefits
- Consistent training, development, and support
- Significant professional growth for employees
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