Aufgaben

• Unterstütze klinische Studien mit biostatistischen Analysen.
• Erkunde innovative statistische Methoden zur Optimierung von Dosierungen.
• Baue interaktive Shiny Apps für Designs und Überwachung.

Fähigkeiten

• PhD-Student in Statistik oder Mathematik, gute Programmierkenntnisse in R.
• Starke Kommunikationsfähigkeiten und Teamarbeit.
• Grundkenntnisse in Bayesscher Statistik von Vorteil.

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.

Looking to turn science into impact? Let’s do it together.

Are you a student passionate about discovery, data, and driving change in healthcare? Join us for an internship where your ideas matter, your questions are welcome, and your curiosity is celebrated. Whether you're diving into molecules or models, you'll gain hands-on experience, mentorship from experienced scientists, and the chance to contribute to real-world innovation in a collaborative and purpose-driven environment.

Step into the heart of innovation as

Biostatistician Intern for Early Clinical Development in Oncology

— where your science meets real impact.

Help shape the future of clinical research through the power of statistics

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Are you a

PhD student

with a passion for numbers, health, and innovation? This internship is your chance to dive into exciting statistical challenges such as dose optimization, adaptive phase 2/3 seamless designs, and probability of success of clinical trials.

Your Mission.

• Be part of a Clinical Trial Team and support study-level activities with your biostatistical expertise. You’ll work closely with cross-functional partners to deliver high-quality statistical insights and contribute to the planning and execution of analyses.
• Explore and apply innovative statistical methods, particularly around dose optimization, adaptive designs, and probability of success assessment.
• (Optionally) Build interactive Shiny apps for dose escalation design and monitoring.

More than a checklist of skills, we’re looking for someone who shares our commitment to science with purpose.

• About to graduate/recent graduated with a

  PhD in Statistics, Mathematics

• Solid programming skills in R (preferred), with bonus points for Python or SAS.
• Strong communication skills, both written and verbal — we value clarity and curiosity
• A collaborative mindset and a genuine interest in working in multidisciplinary teams
• Having a basic understanding of Bayesian statistics would be a great asset
• Experience in creating Shiny apps would certainly be advantageous
• A foundational knowledge of oncology clinical trials would be highly beneficial

• Being part of a company where innovation, collaboration, and impact aren’t just values — they’re how we work every day
• Partner with teams across disciplines, at the forefront of oncology and anti-infective development
• An inclusive and respectful workplace — proud to be Equal-Pay certified
• Grow in a culture that values people, purpose, and performance
• A chance to grow, share, and shape the future of healthcare

 

What to Expect in the Recruitment Process:

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