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Principal Statistical Programmer - FSP(m/w/x)
Programming statistical programs for clinical trials and analysis datasets for healthcare clients. 7+ years statistical programming in Life Science with strong Efficacy experience required. Global exposure across diverse therapeutic areas, cutting-edge technology access.
Requirements
- Bachelor's Degree in Maths, Computer Science, Statistics, or related field
- 7+ years’ Statistical Programming experience within the Life Science Industry
- Strong Efficacy experience
- Advanced knowledge of statistics, programming, and/or clinical drug development process
- Advanced knowledge of computing applications such as Base SAS, SAS Graph, and SAS Macro
- Advanced knowledge of relevant Data Standards (such as CDISC/ADaM/SDTM)
Tasks
- Plan and coordinate programming for complex studies
- Program, test, and document statistical programs for tables, figures, and listings
- Create analysis datasets and transfer files for clients
- Conduct quality control checks on source data and report issues
- Interpret project requirements and develop programming specifications
- Provide technical expertise to clients and SP teams
- Lead technical team for complex studies
- Communicate with statisticians and clinical teams about requirements and timelines
- Estimate programming scope and manage resource assignments
- Negotiate project timelines for deliverables
- Promote established standards, SOPs, and best practices
- Train and mentor SP team members
Work Experience
- 7 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Base SAS
- SAS Graph
- SAS Macro
Benefits
Other Benefits
- Global exposure
Diverse Work
- Variety of therapeutic areas
Informal Culture
- Collaborative and supportive team environment
Modern Equipment
- Access to cutting-edge technology
Career Advancement
- Excellent career development opportunities
Family Support
- Work-Life Balance
Mental Health Support
- Focus on positive well-being
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Principal Statistical Programmer - FSP(m/w/x)
Programming statistical programs for clinical trials and analysis datasets for healthcare clients. 7+ years statistical programming in Life Science with strong Efficacy experience required. Global exposure across diverse therapeutic areas, cutting-edge technology access.
Requirements
- Bachelor's Degree in Maths, Computer Science, Statistics, or related field
- 7+ years’ Statistical Programming experience within the Life Science Industry
- Strong Efficacy experience
- Advanced knowledge of statistics, programming, and/or clinical drug development process
- Advanced knowledge of computing applications such as Base SAS, SAS Graph, and SAS Macro
- Advanced knowledge of relevant Data Standards (such as CDISC/ADaM/SDTM)
Tasks
- Plan and coordinate programming for complex studies
- Program, test, and document statistical programs for tables, figures, and listings
- Create analysis datasets and transfer files for clients
- Conduct quality control checks on source data and report issues
- Interpret project requirements and develop programming specifications
- Provide technical expertise to clients and SP teams
- Lead technical team for complex studies
- Communicate with statisticians and clinical teams about requirements and timelines
- Estimate programming scope and manage resource assignments
- Negotiate project timelines for deliverables
- Promote established standards, SOPs, and best practices
- Train and mentor SP team members
Work Experience
- 7 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Base SAS
- SAS Graph
- SAS Macro
Benefits
Other Benefits
- Global exposure
Diverse Work
- Variety of therapeutic areas
Informal Culture
- Collaborative and supportive team environment
Modern Equipment
- Access to cutting-edge technology
Career Advancement
- Excellent career development opportunities
Family Support
- Work-Life Balance
Mental Health Support
- Focus on positive well-being
About the Company
IQVIA
Industry
Healthcare
Description
IQVIA is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients.
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