Senior Manager, Scientific Programming

Position Summary

We are seeking a highly skilled Real-World Data (RWD) Programmer to join the Scientific Programming team. The successful candidate will lead programming activities to support real-world evidence (RWE) generation using large-scale healthcare data sources (e.g., electronic health records, claims, registries). This role will collaborate with biostatistics and technical teams to implement and deliver high-quality analytic datasets, outputs, and visualizations.

• 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
• 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
• Conduct exploratory data analyses to support evidence generation, feasibility assessments and study design refinement
• Interact and communicate with programming teams 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 reports independently
• 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 teams 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 vendors

• Strong proficiency in R and SQL (Python and 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
• Ability to effectively collaborate in a dynamic environment

• Expert level R and SQL 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, HCPCS, RxNorm)
• 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 in development and implementation of statistical programming standards and procedures
• Experience with the drug development process (pre-, early, late and/or observational) in related industries or academic research. Experience with oncology trials
• Expert level SAS programmer with experience in delivering complex programming assignments and analysis

Education:

Master’s degree, in Computer Science, Statistics, Mathematics, Life Sciences or other relevant scientific subjects, or equivalent related experience.

Experience:

• Minimum 7+ years’ clinical research and development programming experience using R and SQL
• Minimum 5+ years’ RWD programming experience in healthcare analytics settings using R and SQL

BeOne is an equal opportunity employer. All employment is decided on the basis of qualifications, merit, and business need.