Principal Scientist (Computation)

Genentech • Daly City, CA

1d

About The Position

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
The Opportunity
Genentech is seeking a creative and highly accomplished scientist to develop and lead a research program in Computational Neuroscience/Neuroimmunology, focused on neurodegenerative and neuroinflammatory diseases such as Alzheimer’s, Parkinson’s, ALS, and multiple sclerosis, in the department of OMNI Bioinformatics within the Computational Sciences division.

Requirements

• MD, PhD, MD/PhD or equivalent with in-depth training in a relevant field, deep understanding of biological pathways relevant to neuroimmunology and computational methods to study these pathways, as well as successful postdoctoral research, or ≥3 years post-PhD equivalent experience.
• A track record of impactful scientific achievement as demonstrated by co-first/lead as well as contributing author publications.
• Excellent communication skills and evidence of success in complex, multidisciplinary environments are required.
• Patient tissue or CSF/PBMC atlases
• Single-cell RNA-Seq, CITE-Seq, and immune repertoire (TCR/BCR)
• Proteomic datasets from neurodegenerative disease patient tissue or biofluids
• Use of human genetics to prioritize drug targets
• Mouse and cellular models of neurodegenerative disease

Responsibilities

• Strategic direction and execution of computational research into pathogenesis of neurodegenerative diseases using techniques such as gene expression, chromatin accessibility, human genetics, genetic screens and image analysis.
• Development and execution, with Translational Medicine, of reverse translation strategy to leverage clinical trial samples and data to identify new drug targets for residual disease
• Leading computational research in specialized areas such as neuroimmunology or microglial and lipid biology
• Nomination of new entries to the Neuroscience department Target Assessment Portfolio
• Serving as computational lead on pipeline programs as needed, supporting target validation, mechanism of action, safety, and biomarker studies.
• Collaborating within the Genentech Computational Sciences division to deploy cutting-edge AI models to solve the above problems
• In line with corporate strategy, contributing to and leading authorship of impactful scientific publications

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees