Data Scientist, Computational Toxicology Full-time

The Opportunity

The department of Translational Safety is looking for a computational toxicology data scientist to provide scientific leadership and contribute to the comprehensive and integrated safety profiling of Genentech drug candidates. The successful candidate will work closely with stakeholders across the company to analyze diverse data and develop novel computational tools that support safety-related decisions. Computational toxicologists in Translational Safety integrate state-of-the-art analytical methods to support molecular design, develop data to insight pipelines, and help guide strategic data generation to advance and validate New Approach Methodology (NAM) models for safety screening and mechanistic toxicity investigations. Our scientists continuously look for opportunities to advance drug discovery and development and improve patient care through integration of computational methods and robust data streams.

The Role:

You will be responsible for in-depth analyses of multifactorial data streams from new and established toxicity assays to support decision on preclinical candidate safety; the typical data streams include transcriptomic, proteomic, metabolomic, image data and tabular data from more conventional reporter toxicity assays.

You will integrate large scale omic data sets in support of in vitro assay development, NAM validation, and project-specific investigations into toxicity mechanisms.

You will curate diverse historical data to develop predictive AI/ML models aimed at profiling drug candidates throughout the Genentech pipeline as part of the lab-in-a-loop facilitated molecule design and evaluation cycle

You will identify, evaluate, and propose novel computational approaches to augment safety predictions and impact safety-related decisions throughout the drug-development pipeline

You will collect and curate clinical and preclinical in vivo data to support translational validation of NAMs

You will work with cross-functional teams including toxicologists, biologists, chemists, data & computer scientists to develop fit-purpose computational tools and drive the adoption of in silico NAMs throughout the drug development pipeline

You will actively engage with academic groups at the forefront of AI/ML, toxicology, and informatics

You will publish high quality impactful scientific articles and present at conferences, business meetings, and academic institutions

Relocation benefits are available for this job posting.

The expected salary range for this position based on the primary location of South San Francisco, CA is $156,200 to 290,200. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.