Senior Epidemiological Programming Lead

Cytel; Madison (WI); Sur place; USD 180 000 - 240 000; Plein temps

Résumé du poste

Cytel is seeking an Associate Director, Epidemiological Statistical Programming to lead and mentor a team of statistcal programmers. You will translate study objectives into reproducible analytic solutions, develop SAS and R code for analyses, and partner with epidemiologists, data scientists, and other stakeholders to deliver high-quality evidence across therapeutic areas.

You will oversee programming deliverables, promote standards, and guide automation efforts while supporting regulatory and

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, with demonstrated experience supporting epidemiological, observational, real-world evidence (RWE), HEOR, and/or related research.
• Experience with Optum and Truvata.
• 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.

Responsabilités

• 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.

Connaissances

Leadership & mentoring

Cross-functional collaboration

Independent work

Regulatory understanding

Formation

Bachelor's or higher in Statistics/Biostatistics/Epidemiology/Data Science

Outils

SAS

R

Description du poste

Cytel is seeking an Associate Director, Epidemiological Statistical Programming to lead and mentor a team of statistcal programmers. You will translate study objectives into reproducible analytic solutions, develop SAS and R code for analyses, and partner with epidemiologists, data scientists, and other stakeholders to deliver high-quality evidence across therapeutic areas.

You will oversee programming deliverables, promote standards, and guide automation efforts while supporting regulatory and