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Senior Principal Statistical Programmer(m/w/x)
Leading statistical programming for clinical studies, coordinating internal/external teams in AI-driven drug discovery. Expert SAS experience and advanced MACRO development skills required. Strategic programming decisions, focus on AI-driven data solutions.
Requirements
- Degree in statistics, computer science, mathematics, life sciences or equivalent
- Programming experience in clinical trials or pharmaceutical industry
- Expert SAS experience and advanced MACRO development skills
- Experience in statistical analysis plans or technical specifications
- Advanced knowledge of CDISC data structures and standard programs
- Understanding of regulatory requirements like GCP or study procedures
- Communication, negotiation, and global influence skills
- Experience as Trial/Lead/Project Programmer and team coordination
- Initiative and cross-functional teamwork skills
Tasks
- Lead statistical programming for multiple clinical studies
- Manage programming for medium to large-scale projects
- Coordinate internal and external programming teams
- Propose strategies and make key programming decisions
- Supervise and advise local programming associates
- Collaborate with cross-functional teams on project status
- Review eCRF and standardize data structures
- Ensure compliance with CDISC and industry standards
- Develop and influence detailed programming specifications
- Implement expert statistical programming solutions
- Validate datasets for regulatory submissions and reports
- Maintain audit readiness for all programming deliverables
- Master SAS and advanced industry software requirements
- Manage relationships with external vendors and associates
- Lead process improvement and non-clinical project initiatives
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- SAS
- MACROs
- CDISC
Benefits
Other Benefits
- Reasonable recruitment accommodations
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Senior Principal Statistical Programmer(m/w/x)
Leading statistical programming for clinical studies, coordinating internal/external teams in AI-driven drug discovery. Expert SAS experience and advanced MACRO development skills required. Strategic programming decisions, focus on AI-driven data solutions.
Requirements
- Degree in statistics, computer science, mathematics, life sciences or equivalent
- Programming experience in clinical trials or pharmaceutical industry
- Expert SAS experience and advanced MACRO development skills
- Experience in statistical analysis plans or technical specifications
- Advanced knowledge of CDISC data structures and standard programs
- Understanding of regulatory requirements like GCP or study procedures
- Communication, negotiation, and global influence skills
- Experience as Trial/Lead/Project Programmer and team coordination
- Initiative and cross-functional teamwork skills
Tasks
- Lead statistical programming for multiple clinical studies
- Manage programming for medium to large-scale projects
- Coordinate internal and external programming teams
- Propose strategies and make key programming decisions
- Supervise and advise local programming associates
- Collaborate with cross-functional teams on project status
- Review eCRF and standardize data structures
- Ensure compliance with CDISC and industry standards
- Develop and influence detailed programming specifications
- Implement expert statistical programming solutions
- Validate datasets for regulatory submissions and reports
- Maintain audit readiness for all programming deliverables
- Master SAS and advanced industry software requirements
- Manage relationships with external vendors and associates
- Lead process improvement and non-clinical project initiatives
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- SAS
- MACROs
- CDISC
Benefits
Other Benefits
- Reasonable recruitment accommodations
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Novartis Pharma AG
Industry
Pharmaceuticals
Description
The company is committed to integrating AI-powered tools into drug discovery to enhance data-driven solutions.
Not a perfect match?
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