T2607 Biostatistician Intern (12 months)

Biostatistician Intern, for Early Clinical Development in Oncology (12-months assignment)

Your Mission:

· Explore and apply innovative statistical methods, particularly around dose optimization, adaptive designs, and probability of success assessment.

· 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.

· Optionally: build interactive Shiny apps for dose escalation design and monitoring.

Requirements

Your profile:

· About to graduate/recent graduated with a PhD in Statistics, Mathematics, or a related field, or MSc with a first research experience.

· 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

· A first exposure to Bayesian statistics is a plus

· A first experience building Shiny apps is a plus

· A first familiarity with oncology clinical trials is a plus

Benefits

What we Offer:

· 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:

If your application is selected, you’ll be invited to interviews with Talent Acquisition and the Hiring Manager via Teams, followed by a panel interview and reference checks. Communication is handled via Workable—check your spam folder for emails from *@outbound.workable.com.

Please contact our HR Department prior to submitting any profiles. We cannot accept unsolicited ap-plications from agencies or recruiters