BeOne Medicines
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 cross-functional teams, including biostatistics, epidemiology, and medical affairs to design, implement, and deliver high-quality analytic datasets, outputs, and visualizations that inform strategic business and scientific decisions
Essential Duties & 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 (Experience with IQVIA/OPTUM/TriNetX a plus)
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
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
Essential Duties & 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 (Experience with IQVIA/OPTUM/TriNetX a plus)
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
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.