Computational Biology - Oncology position at Roche.| Switzerland

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Roche Computational Biology - Oncology

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Basel....Switzerland

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At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position In Roche’s Pharmaceutical Research and Early Development organization (pRED ) , we make transformative medicines for patients in order to tackle some of the world’s toughest unmet healthcare needs. At pRED, we are united by our mission to transform science into medicines. Together, we create a culture defined by curiosity, responsibility and humility, where our talented people are empowered and inspired to bring forward extraordinary life-changing innovation at speed. The Computational Sciences Centre of Excellence is a global organisation enabling Roche’s Research and Early Development units to become more data-driven, more digitally adept and better prepared for the challenges of the future. Within the Computational Sciences Centre of Excellence , the Computational Biology department focuses on furthering our understanding of disease, patient populations, and target biology by having access to the largest Pharma R&D datasets in the world. In partnership with our scientists across pRED, we create better medicines by augmenting every part of R&D through our data-driven culture. The 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. You will also be part of the wider Computational Biology and Medicine unit within the Computational Sciences Centre of Excellence drawing on the shared experience and expertise of colleagues globally. To ensure successful delivery for the portfolio, you collaborate with other subunits in Computation Biology and/or Computational Medicine where needed. Our collective success in the Oncology sub-unit and our contribution to pRED/Pharma goals will be the measure of your impact. 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 Who you are 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. Ready to take the next step? We'd love to hear from you. Apply now to explore this exciting opportunity! Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer.

Computational Biology - Oncology job opportunity at Roche.

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