P2612 - Senior Manager Statistical Programming

At Debiopharm, every step we take is guided by one purpose: improving the lives of people affected by cancer and infectious diseases. As a privately-owned Swiss biopharmaceutical company, we’re driven by science, but above all, by the people behind every treatment — the patients and their families.

Through our unique “development only” model, we bring forward promising therapies and transform them into treatments that can reach those who need them most, faster.

We are currently looking for a motivated and collaborative professional to join our Biostatistics and Data Management (R&D) Department based at our Headquarters in Lausanne, Switzerland as

As the Senior Manager of Statistical Programming, you will provide strategic leadership for Statistical and Clinical Data Science Programming. You will be the driving force behind our digitalization strategy, implementing cutting-edge data science technology and AI adoption to streamline clinical data processing and analysis. Beyond strategy, you will lead a talented team of programmers and data scientists to ensure the highest quality of deliverables for our clinical projects.

·       Leadership & Management: Manage a team of statistical programmers, overseeing resource planning, talent acquisition, and professional development.

·       Strategic Digitalization: Lead the roadmap for AI adoption and new technical solutions for integrating and reporting clinical data.

·       Operational Excellence: Accountable for the quality and timelines of all programming deliverables (datasets, TLFs) for study reports and integrated summaries.

·       Vendor Oversight: Provide technical guidance to CRO partners to ensure efficient, integrated project reporting and adherence to standards.

·       Compliance: Ensure all activities strictly adhere to GCP, SOPs, and regulatory requirements for electronic data submissions.

·       Cross-Functional Collaboration: Partner closely with Biostatistics, Data Management, IT, and Clinical Development functions.

·       Education: MSc in Statistics, Biostatistics, Mathematics, Computer Science, or equivalent experience. 

·       Experience: At least 7 years of statistical programming experience within pharmaceutical clinical development. 

·       Technical Expertise: Extensive knowledge of SAS software and general computing techniques. 

·       Industry Knowledge: Thorough understanding of clinical trial design, reporting processes, and software development/validation methodologies. 

·       Soft Skills: Proactive communicator with the ability to adapt quickly to changing organizational needs and maintain successful cross-functional partnerships.