Manager, Scientific Programming

Role Summary

Manager, Scientific Programming responsible for leading programming activities to support real-world evidence generation using large-scale healthcare data sources, collaborating with cross-functional teams to design, implement, and deliver analytic datasets, outputs, and visualizations to inform strategic business and scientific decisions.

Responsibilities

• Develop, validate and maintain analysis-ready datasets, tables, figures and listings for observational and RWE studies derived from diverse real-world data sources, including claims, electronic health records (EHRs) and registry data
• Conduct exploratory data analyses to support evidence generation, feasibility assessments and study design refinement
• Interact and communicate with study leads and stakeholders to identify efficient programming solutions and contribute to analytic strategy
• Manage and contribute to the standardization and automation of data processing workflows, including the development of reusable programming templates and data refreshes
• Design and develop effective visualizations and interactive dashboards (e.g. Power BI, Spotfire, R-Shiny) to support decision-making
• Apply best practice in RWD programming and analytics to develop and deliver high-quality report independently
• Write, test and validate programs to produce analysis datasets, TLFs and presentation output, to be included in reports for submission to regulatory agencies, publications and other communications as needed
• Understand and execute department-, product- and study-level macros and utilities. Write, test and validate product- and study-level macros and utilities
• Be a technical resource for programming group to provide advice on complex programming tasks and/or standards
• Contribute to the development review of Statistical Programming policies, standard operating procedures and other controlled documents
• Interface with outsourcing partners and vendor
• Other duties as assigned

Education / Experience Required

• Master’s degree, in Computer Science, Statistics, Mathematics, Epidemiology, Life Sciences or other relevant scientific subject, or equivalent related experience
• Minimum 4+ years’ clinical research and development programming experience using R, Python or SQL, SAS
• Minimum 2+ years’ RWD programming experience in healthcare analytics settings using R, Python or SQL, SAS
• Strong proficiency in SQL, Python and R (SAS experience a plus) or other data manipulation languages to manage and analyze large-scale healthcare datasets
• Basic knowledge of statistical analysis methodologies and study design concepts
• Fundamentals of project planning and management
• Drug development process
• Excellent verbal and written communication skills
• Excellent problem-solving skills and ability to work independently and collaboratively in a fast-paced environment

Desired Experience

• Expert level R, Python, SQL or SAS programmer with demonstrated experience in handling large-scale healthcare datasets and delivering on complex programming assignments and analysis
• Deep knowledge of real-world data sources (claims, EHRs, registries) and observational study design
• Strong understanding of healthcare coding systems (ICD, CPT, NDC)
• Experience in supporting HEOR, epidemiology or medical affairs teams
• Experience in Oncology studies
• Experience leading or working with centralized teams for Statistical Programming
• Experience in FDA/EMEA/CFDA trial and regulatory submissions
• Experience with the drug development process in related industries or academic research

Skills

• Data analysis and programming
• Data visualization and dashboard development
• Cross-functional collaboration
• Regulatory submission readiness
• Problem solving and independent work in fast-paced environments