Associate Director, Epidemiological Programming Leader

Cytel; City of Albany (NY); On-site; USD 150,000 - 190,000; Full time

Job summary

Cytel is seeking an Associate Director of Epidemiological Statistical Programming to lead and mentor a team delivering high‑quality epidemiological and real‑world evidence programming. You will translate study objectives into robust analytical solutions using SAS and/or R, while collaborating with epidemiologists, data scientists, and cross‑functional partners.

You will oversee deliverables, promote best practices, and drive automation initiatives to improve efficiency and reproducibility across

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.

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

Leadership

Mentoring

Communication

Statistical programming

Epidemiology domain knowledge

Education

Bachelor’s degree or higher

Tools

SAS

R

Optum

Truveta

Job description

Cytel is seeking an Associate Director of Epidemiological Statistical Programming to lead and mentor a team delivering high‑quality epidemiological and real‑world evidence programming. You will translate study objectives into robust analytical solutions using SAS and/or R, while collaborating with epidemiologists, data scientists, and cross‑functional partners.

You will oversee deliverables, promote best practices, and drive automation initiatives to improve efficiency and reproducibility across