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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 SAS, R, or Python, with a strong focus on data integrity and compliance with ICH/GCP guidelines in clinical trials. Capable of collaborating effectively with biostatisticians and clinical teams to deliver high-quality statistical analyses and documentation.
Highest-signal resume keywords
Statistical Programming (SAS, R, Python)Clinical Data Management SystemsStatistical Analysis Plans (SAPs)ICH/GCP ComplianceAnalytical and Problem-Solving Skills
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 ProgrammingData ManipulationData AnalysisStatistical MethodologiesProgramming SpecificationsClinical Study ReportsRegulatory StandardsData IntegrityStatistical Analysis PlansClinical Trials
Soft Skills
Attention to DetailTeam CollaborationCommunication Skills
Tools & Technologies
SASRPythonClinical Data Management Systems
Industry Keywords
Clinical ResearchICH GuidelinesGCP Guidelines
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Develop, validate, and maintain statistical programs (SAS, R, or similar) for data manipulation, analysis, and reporting in clinical trials
- Collaborate with biostatisticians and clinical teams to understand project requirements and ensure accurate implementation of statistical analyses
- Prepare and review statistical analysis plans (SAPs) and programming specifications to meet regulatory standards
- Ensure data integrity and compliance with industry regulations, including ICH/GCP guidelines, throughout the programming process
- Participate in the preparation of clinical study reports and other documentation required by regulatory authorities
- Deliver statistical programming work to a high standard while working closely with team members and stakeholders
Requirements
What you’ll need- Bachelor's degree in statistics, computer science, mathematics, or a related discipline
- Proven experience as a statistical programmer within the clinical research industry, with strong knowledge of statistical methodologies
- Proficiency in programming languages such as SAS, R, or Python, along with experience in clinical data management systems
- Strong analytical and problem-solving skills, with attention to detail and the ability to work independently and as part of a team
- Excellent communication skills, with the ability to convey complex statistical concepts to non-technical stakeholders
- 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
