Overview In this role you will shape and execute Roche's Foundational Data and Models strategy for Computational Neuroscience, advancing neurodegenerative and neuroinflammatory disease research. You will integrate diverse data types and AI approaches to extract biology-driven insights, supporting target validation and biomarker work within a cross-functional CoE. You'll work on scalable data ecosystems and innovative AI-enabled methods to accelerate neuroscience pipelines. This is a mission-driven opportunity on the Genentech/Roche neuroscience agenda with a focus on tangible patient impact.
Compensation / Benefits- relocation benefits
- discretionary annual bonus
- comprehensive employee benefits (as per policy)
Responsibilities- Develop and drive the Foundational Data and Models strategy for Computational Neuroscience
- Extend and leverage Roche data ecosystems to accelerate neuroscience R&D
- Mine large-scale data using LLMs, automation, and AI agents to derive insights
- Integrate human genetics, single-cell atlases, perturbation data, and other data types to advance disease understanding
- Nominate new portfolio entries for Neuroscience Target Assessment and identify biomarkers for ongoing programs
- Serve as computational lead on pipeline programs, supporting target validation, MOA, safety, and biomarker studies
Key requirements- PhD or equivalent in a relevant field
- postdoctoral experience or 3 years after PhD (Senior/Principal Scientist level)
- deep experience with Perturb-seq/CRISPR screening
- experience with patient tissue or CSF/PBMC atlases
- use of human genetics to prioritize drug targets
- familiarity with AI approaches and AI agents for scientific insights
- strong publication record and cross-disciplinary collaboration skills
- excellent communication skills; onsite presence in South San Francisco expected 3 days/week
- excellent communication
- multidisciplinary collaboration
- strategic thinking
- Perturb-seq and CRISPR screening
- patient tissue/CSF/PBMC atlas analysis
- human genetics for target prioritization