The role focuses on developing a competitive advantage for Roche's pRED organization through the application of computational biology in the Oncology space
Job Summary
The role focuses on developing a competitive advantage for Roche's pRED organization through the application of computational biology in the Oncology space.
You will drive the data and analytics strategy to generate high-value insights from complex biological datasets that support decision-making in drug discovery.
Roche offers a culture defined by curiosity, responsibility, and humility where talented people are empowered to bring forward extraordinary life-changing innovation.
Matching Summary
The role focuses on developing a competitive advantage for Roche's pRED organization through the application of computational biology in the Oncology space.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
PhD in Bioinformatics or related field
Expertise in AI/ML and LLM workflows
Proficiency in R and Python programming
Experience with large-scale biological datasets
Knowledge of cancer biology and drug discovery
Nice-to-have
Hands-on experience with agentic workflows
Familiarity with spatial omics and imaging data
Strong communication and visualization skills
Collaborative mindset in multidisciplinary teams
Key Requirements
PhD in Bioinformatics, Biostatistics, or quantitative field