Associate Director, Epidemiological Statistical Programming

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Provide technical and functional guidance to statistical programmers involved in epidemiological and real-world evidence studies.

• Lead and actively participate in statistical programming tasks across various therapeutic areas.

• Create, validate, and sustain SAS and/or R programs for analysis datasets, statistical outputs, tables, figures, and other data products.

• Collaborate with epidemiologists, statisticians, data scientists, and cross-functional stakeholders on programming methodologies.

• Offer expert technical advice on intricate programming, data, and analytical issues.

• Supervise and review programming deliverables to ensure accuracy, reproducibility, quality, timelines, and adherence to standards.

• Support programming efforts utilizing administrative claims, electronic health records, registries, and other healthcare databases.

• Develop analysis-ready datasets, programming specifications, derivation logic, quality-control procedures, and necessary documentation.

• Establish programming standards, reusable tools, macros, code libraries, documentation, and quality-control processes.

• Promote automation, standardization, continuous improvement, and scalable programming methods.

• Plan and prioritize programming tasks, identifying resource needs, risks, dependencies, and potential delivery challenges.

• Assist with regulatory and health authority inquiries, publications, abstracts, presentations, and evidence-generation activities.

• Ensure adherence to regulatory requirements, company policies, SOPs, data privacy regulations, and industry best practices.

• Create and maintain SOPs, work instructions, programming conventions, and related documentation.

• Encourage collaboration and develop programming talent through coaching, knowledge sharing, technical reviews, and mentorship.

⛳️ Requirements

• Bachelor’s degree or higher in Statistics, Biostatistics, Epidemiology, Computer Science, Data Science, Mathematics, or a related quantitative field.

• Over 8 years of relevant statistical programming experience in the pharmaceutical, biotechnology, CRO, healthcare, or life sciences sectors.

• Proven experience in supporting epidemiological, observational, real-world evidence (RWE), HEOR, and/or related research.

• Familiarity with Optum and Truveta.

• Advanced programming skills in SAS and/or R.

• Capability to develop, validate, and maintain complex analytical programs and reproducible programming workflows.

• Strong experience with large and intricate 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 peers, review programming strategies and deliverables, and tackle complex technical challenges.

• Experience in leading or coordinating programming efforts across multiple projects.

• Experience in overseeing and reviewing programming deliverables.

• Familiarity with line managing a team.

• Dedication to programming quality, reproducibility, documentation, standards, and industry best practices.

• Ability to work autonomously, exercise sound technical judgment, and manage multiple priorities effectively.

• Outstanding written and verbal communication skills.

• Strong collaboration and leadership abilities across multidisciplinary and geographically diverse teams.

🏝️ Benefits

• Continuous training, development, and support.

• Significant opportunities for professional growth for employees.