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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in statistical programming using R, SAS, and Python, with a strong focus on CDISC standards and regulatory compliance. Proven ability to lead programming activities, coordinate teams, and deliver high-quality statistical analysis for clinical studies.
Highest-signal resume keywords
Statistical Programming ExpertiseCDISC Standards KnowledgeR, SAS, Python ProficiencyRegulatory Compliance UnderstandingTeam Coordination and Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical ProgrammingR ProgrammingSAS ProgrammingPython ProgrammingData VisualizationStatistical Analysis PlansTechnical Programming SpecificationsDataset DevelopmentQuality ControlReproducible Workflows
Soft Skills
Communication SkillsNegotiation SkillsInfluencing SkillsTeam BuildingKnowledge Transfer
Tools & Technologies
TidyverseR Shiny ApplicationsGit-based Version ControlAI-enabled ToolsStatistical Analysis Software
Industry Keywords
Clinical TrialsGCPData StructuresECRFsRegulatory Submissions
Tech Stack
Tools & technologiesGoogle Cloud PlatformPython
About the role
Key responsibilities & impact- Lead statistical programming activities as Trial Programmer for one or more trials or as Lead/Program Programmer for a program or indication
- Coordinate internal and external programmers and make statistical programming decisions and propose strategies
- Supervise and guide associates on operational and functional expertise and processes
- Build effective relationships with cross-functional teams and communicate deliverable status, timelines, scope, and resource plans
- Review eCRFs and data structures and ensure program-level standardization for pooling and case record tabulation production
- Comply with company, department, and industry standards such as CDISC; develop and influence programming specifications and analysis-plan strategies
- Provide and implement statistical programming solutions and act as a programming expert in problem-solving
- Develop and validate datasets and outputs for clinical study reports, regulatory submissions and interactions, safety reports, publications, post-marketing activities, and exploratory analyses
- Ensure quality control, inspection readiness, accuracy, and reliability of statistical programming deliverables and analysis results
- Establish frameworks for reproducibility, documentation, and code quality; refine templates, standards, and governance
- Maintain advanced knowledge of R, SAS, and other statistical programming languages and drive adoption of reusable solutions and modern workflow approaches
Requirements
What you’ll need- BS/MS degree in statistics, computer science, mathematics, data science, life science or equivalent relevant degree
- Extensive experience and deep expertise in statistical programming languages such as R, SAS, or Python
- Experience with R packages such as Tidyverse, R Shiny Applications, AI-enabled tools, Git-based version control, data visualization, and reproducible workflows
- Advanced experience contributing to statistical analysis plans and/or constructing technical programming specifications
- Advanced knowledge of CDISC data structures and standard programs
- Solid understanding of regulatory requirements relevant to Statistical Programming, including GCP and study procedures
- Proven communication and negotiation skills; ability to work globally and influence
- Experience as Trial, Lead, or Program Programmer for several studies or project-level activities
- Experience coordinating internal or external programmers on a study/program
- Ability to transfer knowledge to others
Benefits
Comp & perks- Performance-based bonus eligibility
- Insurance plans
- Retirement plans
- Wellbeing resources
- Global recognition programs
- Flexible and hybrid working options, where possible
- Minimum 14 weeks paid parental leave