Note: The job is a remote job and is open to candidates in USA. Cytel is a provider of statistical programming and clinical research services. The Associate Director, Epidemiological Statistical Programming serves as a senior technical leader, leading and contributing to programming for epidemiological and real-world evidence studies. The role provides technical guidance and mentorship, oversees deliverables and standards, and collaborates with epidemiologists, statisticians, data scientists, and other partners.
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
- 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, with 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, with demonstrated ability to develop, validate, and maintain complex analytical programs and reproducible programming workflows
- Strong experience working with large and complex healthcare data sources, such as administrative claims, electronic health records (EHR), patient registries, or other real-world data sources
- Demonstrated understanding of epidemiological study designs, statistical analysis methods, and the application of programming techniques to observational and real-world research
- Proven ability to provide technical leadership and guidance to statistical programmers, including mentoring colleagues, reviewing programming approaches and deliverables, and resolving complex technical challenges
- Experience leading or coordinating programming activities across multiple projects, including prioritizing deliverables, identifying risks and dependencies, and ensuring work is completed to established quality standards and timelines
- Experience overseeing and reviewing programming deliverables
- Experience with line managing a team
- Strong commitment to programming quality, reproducibility, documentation, and the development and implementation of programming standards and best practices
- Ability to work independently, exercise sound technical judgment, and effectively manage multiple priorities in a dynamic, cross-functional environment
- Excellent written and verbal communication skills, with the ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders
- Strong collaboration and leadership skills, with demonstrated ability to influence, mentor, and build effective working relationships across multidisciplinary and geographically dispersed teams
- 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 and/or therapeutic areas
- Experience supporting regulatory-grade RWE, regulatory submissions, health authority requests, or other evidence-generation activities
- Experience with additional programming languages, technologies, and analytical tools such as Python, SQL, Git, Unix/Linux, R Markdown/Quarto, Shiny, or similar tools
- Experience developing reusable programming tools, packages, macros, automated workflows, or other solutions that improve programming efficiency, quality, and scalability
- Experience contributing to programming standards, SOPs, work instructions, technical guidance, or organizational best practices
- Experience with cloud-based analytics platforms and/or modern data environments
Benefits
- Workplace Type: Remote
- Consistent training, development, and support
Company Overview
Company H1B Sponsorship