The role focuses on developing a competitive advantage for Roche's Research and Early Development organization through the application of computational biology in oncology
Job Summary
The role focuses on developing a competitive advantage for Roche's Research and Early Development organization through the application of computational biology in oncology.
Candidates will drive data and analytics strategies to generate high-value insights from complex 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 Research and Early Development organization through the application of computational biology in oncology.
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
Strong understanding of cancer biology
Nice-to-have
Hands-on experience with agentic workflows
Familiarity with spatial omics imaging data
Experience integrating diverse data types
Ability to create impactful visualizations
Collaborative multidisciplinary team environment
Key Requirements
PhD in Bioinformatics, Biostatistics, or quantitative field
Solid foundation in statistical modeling and machine learning