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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in R Programming for statistical analysis and reporting of clinical trial data, with a strong understanding of CDISC standards and regulatory compliance. Proven ability to lead programming teams and collaborate effectively with biostatisticians to deliver high-quality statistical outputs.
Highest-signal resume keywords
R ProgrammingStatistical ProgrammingCDISC StandardsClinical Trial Data AnalysisRegulatory Compliance
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 AnalysisData ValidationDataset DevelopmentQuality ControlAutomationAnalytical WorkflowsStatistical ReportingProcess ImprovementProgramming ToolsMacros
Soft Skills
Analytical SkillsProblem-SolvingAttention to DetailCommunication SkillsTeam Collaboration
Industry Keywords
Clinical ResearchBiotechnologyPharmaceuticalStatistical OutputsRegulatory SubmissionsClinical Study Reporting
About the role
Key responsibilities & impact- Develop and validate R programs for statistical analysis and reporting of clinical trial data
- Lead more than one Statistical Programming team to create, validate and generate statistical outputs, including listings, tables, figures, and CDISC-compliant SDTM and ADaM datasets, including mapping specifications, of low to moderate complexity
- Collaborate with biostatisticians to define analysis plans and statistical methods applied to clinical data
- Perform quality control and validation of statistical outputs, ensuring accuracy, consistency, and regulatory compliance
- Assist in preparing statistical reports, presentations, and publications for regulatory submissions and clinical study reporting
- Contribute to process improvements by identifying efficiencies in programming practices, automation, and R-based analytical workflows
- Support development, maintenance, and enhancement of standardized R programming tools, macros, and reporting solutions across studies
Requirements
What you’ll need- Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Life Sciences, or a related quantitative field
- 8+ years' experience in statistical programming within a clinical research, biotechnology, or pharmaceutical environment
- Strong exposure to leading programming activities for clinical studies
- Strong proficiency in R programming, including the development and validation of clinical trial datasets, analyses, and reporting outputs
- Good understanding of CDISC standards, including SDTM and ADaM, and their application within clinical trials
- Familiarity with regulatory requirements and industry guidance related to statistical programming and clinical data reporting
- Excellent analytical and problem-solving skills, with a keen attention to detail
- Strong communication skills, with the ability to work collaboratively in a team environment and effectively convey complex information
- Employment with ICON is contingent upon having the legal right to work in the country where the role is based
Benefits
Comp & perks- Competitive base salary and performance related incentives
- Health and wellbeing programmes including medical, dental, and vision coverage where applicable
- Retirement and pension plans
- Life assurance and disability coverage
- Employee assistance programmes and wellbeing resources
- Learning and development opportunities through structured training and career pathways
