Master's degree, in Computer Science, Statistics, Mathematics, Life Sciences or other relevant scientific subjects, or equivalent related 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.
Licenses or Certifications:
N/A
TRAVEL, PHYSICAL DEMANDS AND WORK ENVIRONMENT (AS APPROPRIATE FOR THE POSITION)
Regularly required to operate standard office equipment (personal computer, photocopy machine, etc.)
Ability to work on a computer for extended periods of time.
Regularly required to sit for long periods of time and occasionally stand and walk.
Regularly required to use hands to operate computer and other office equipment.
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Benefits
Health insurance
Additional Information
BeOne continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. When considering candidates, we look for scientific and business professionals who are highly motivated, collaborative, and most importantly, share our passionate interest in fighting cancer.
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.
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
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
Other duties as assigned
Core Competencies, Knowledge and Skill Requirements:
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
Communication & Interpersonal Skills:
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
DESIRED BACKGROUND AND EXPERIENCE (Include License or Certifications)
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. Proficient in developing their own code as well as modifying existing code.
Beigene · Cambridge, UK