Computational Biology - Oncology

We are seeking a highly motivated computational scientist to join our Research Oncology sub‑unit of Computational Biology.

• 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.

• You hold a PhD in Bioinformatics, Biostatistics, or a related quantitative field, with a strong foundation in data‑driven problem‑solving, statistical modeling, and machine learning.
• You bring a solid understanding of cancer biology and are motivated to apply data science to drive impact in drug discovery and decision‑making.
• You have 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.
• You are proficient in R and/or Python and comfortable working in Linux/Unix environments, including processing data on HPC/cloud platforms.
• You have 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.
• You communicate clearly and effectively, create impactful visualizations, and thrive in collaborative, multidisciplinary environments where you take ownership and work closely with experimental scientists.

Roche is an Equal Opportunity Employer.