Requirements

Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Life Sciences, or a related field
Minimum of 5 years of experience in statistical programming in a clinical development setting, or advanced degree with 3 years of equivalent work experience
Proficient in or working knowledge of modern programming languages such as SAS or R and visualization/review tools
Deep understanding of statistical quality, endpoints, and QC processes
Experience with CDISC standards (e.g., SDTM and ADaM)
Expertise in handling and analyzing multi-modal data types
Demonstrated ability to deliver programming outputs independently
Respect for cultural differences in a global workplace
Fluent in English

Nice to Haves

Attention to detail for regulatory submission processes and related documentation
Critical thinking, strong organizational and problem-solving skills
Experience working in cross-functional global study teams
Effective communication skills for translating complex statistical concepts to non-statistical audiences
Experience with multiple phases of drug development (early and/or late stage)
Ability to influence and translate complex data for non-technical stakeholders
Willingness to adapt, grow, and evolve with shifting priorities

Independently develop, validate, and maintain datasets and statistical outputs for clinical trials including SDTM, ADaM datasets, and tables, listings, and figures
Develop and support programming outputs across diverse data types, including exploratory biomarker and real-world data
Collaborate on exploratory analyses spanning disease and therapeutic areas to generate insights for drug development
Create and refine interactive tools and analytical applications such as dashboards for dynamic data exploration by clinical teams
Provide programming leadership for assigned studies, coordinating deliverables with internal and external partners
Translate statistical analysis plans into executable programming specifications ensuring scientific rigor
Troubleshoot and resolve technical programming challenges with limited supervision, identifying risks and implementing solutions
Contribute to design and maintenance of standard macros and reusable components to promote efficiency
Document programming workflows and maintain audit trails for completeness and inspection readiness
Work cross-functionally with biostatistics, data management, and clinical operations to define timelines and deliverables
Participate in process improvement, innovation activities, and ongoing learning to stay current on clinical research and programming standards

Work in a culture encouraging personal expression, open dialogue, and genuine connections
Be valued, accepted, and respected, allowing personal and professional growth
Opportunity to contribute to innovative and impactful healthcare solutions
Position based in Basel