Senior Statistical Programmer

Role Summary

Senior Statistical Programmer. BeOne seeks a Real-World Data (RWD) Programmer to lead programming activities to support real-world evidence (RWE) generation using large-scale healthcare data sources. The role collaborates with cross-functional teams to design, implement, and deliver analytic datasets, outputs, and visualizations that 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 reports independently.
• Write, test and validate programs to produce analysis datasets, TLFs and presentation output for 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 vendors.
• Other duties as assigned.

Qualifications

• Master‚Äôs degree with 2+ years‚Äô RWD programming experience in healthcare analytics settings using R or SQL; SAS required; 3+ years‚Äô clinical research and development programming experience using R or SQL, SAS preferred.
• Strong proficiency in SQL 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, 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 (pre-, early, late and/or observational) in related industries or academic research.

Skills

• Real-World Data programming
• Data visualization and dashboards (Power BI, Spotfire, R-Shiny)
• Analytic dataset development and validation
• Programming automation and templating
• Communication with cross-functional stakeholders

Education

• Master‚Äôs degree in a relevant field (e.g., biostatistics, epidemiology, data science, informatics) or equivalent experience.

Additional Requirements

• None beyond listed qualifications.