Computational Biology - Oncology

Opportunity

We are seeking a highly motivated computational scientist to join our Research Oncology sub‑unit of Computational Biology. You will be a member of a team of world‑leading computational scientists with the express aim of developing a competitive advantage for pRED through the application of computational biology in the Oncology space.

In this role, you will:

• Drive and execute the data and analytics strategy for your area, working closely with stakeholders to focus on the highest impact opportunities.
• Generate clear, high‑value insights from complex data to support decision‑making and help advance projects toward meaningful patient impact.
• Act as a trusted partner to scientists and cross‑functional teams, collaborating to shape priorities and deliver on shared goals.
• Contribute to a collaborative and inclusive team environment by sharing expertise, supporting peers, and actively engaging in a feedback‑rich culture.
• Contribute to continuously improving how we work, helping to strengthen Computational Biology as a key driver of innovation and impact within pRED.

• PhD in Bioinformatics, Biostatistics, or a related quantitative field, with a strong foundation in data‑driven problem solving, statistical modeling, and machine learning.
• Solid understanding of cancer biology and motivated to apply data science to drive impact in drug discovery and decision‑making.
• Strong expertise in AI/ML and modern AI‑driven workflows, ideally including hands‑on experience with LLMs, AI‑assisted coding, or agentic workflows applied to biological problems.
• Proficiency in R and/or Python and comfortable working in Linux/Unix environments, including processing data on HPC/cloud platforms.
• Experience working with large‑scale biological datasets (e.g., genomics, transcriptomics, spatial omics/imaging), ideally including cancer cell dependency, perturbation, or drug‑response data, and enjoy integrating diverse data types.
• Excellent communication skills, ability to create impactful visualizations, and ability to thrive in collaborative, multidisciplinary environments where you take ownership and work closely with experimental scientists.

Roche is an Equal Opportunity Employer.