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Data Scientist/Computational Toxicologist Safety Assessment

South San Francisco, California

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The Position

The Position:

The Department of Safety Assessment is responsible for the nonclinical safety assessment of all drug candidates in the portfolio of Genentech from the discovery phase up to support of marketed products. Safety Assessment provides scientific leadership and plays an active cross-functional role in the drug development process. Within Safety Assessment, Computational Toxicology provides support to the Development small molecule and biotherapeutics portfolio from clinical candidate selection up to post-marketing support. We are seeking an experienced Computational Toxicologist/Data Scientist to support scientific efforts within the Department. This role will involve working in a collaborative team environment, as part of the comprehensive safety assessment of Genentech therapeutics as well as working in cross-functional collaborations with computational experts in related disciplines such as computational chemistry, computational DMPK or discovery informatics.


The successful candidate for the role has expertise in the field of toxicology, chemistry, biology, pharmacology or similar, as well as a strong informatics or computer science background, such as bioinformatics, cheminformatics, machine learning or computational biology.  The Computational Toxicology team interacts and collaborates with several functions and cross-functional expertise is essential for the role. The team supports the Predictive Toxicology efforts within the department in developing strategies and incorporating computational tools to support the design of molecules with favorable properties to avoid potential safety liabilities. The candidate will balance the development, integration and promotion of computational approaches with the ad hoc nature of problem solving in project teams as needed, and will be required to have an adaptive and flexible working style. Experience with cross-functional teams and capability to build productive cross-functional internal and external collaborations are desired.


  • A PhD in toxicology, chemistry, pharmacology or related field as well as demonstrated experience in informatics or computer science along with significant scientific achievements and at least 3 years of experience in the pharmaceutical industry or other relevant organization.
  • Demonstrated experience in extracting, compiling and analyzing complex data sets for building machine learning/AI models is required. Experience with toxicogenomic data is a plus.
  • It is preferred that the candidate also has additional technical skills in the field of computational chemistry or computational biology such as e.g. experience in Quantitative Systems Toxicology or modeling related to non-traditional modalities.
  • Expertise in database generation and scripting in R or other widely used programming languages like Python is required.
  • The successful candidate must also demonstrate strong decision-making, complex problem solving, critical data analysis and interpretation, excellent written and verbal communication skills; and the ability to build productive cross-functional collaborations both within and external to Genentech.


Who We Are

Genentech, a member of the Roche group and founder of the biotechnology industry, is dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. To solve the world's most complex health challenges, we ask bigger questions that challenge our industry and the boundaries of science to transform society. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis.

Diversity and Inclusion (D&I) are critical to the success of our company and our impact on society. We believe that by championing diversity of background, thought and experience, we can foster a sense of belonging and provide an environment where every employee feels valued, included, and able to contribute their best for the patients we serve. We’re focused on attracting, retaining, developing and advancing our people to their full potential by rewarding bold ways of thinking and integrating inclusive behaviors into every aspect of our work.

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Genentech is an equal opportunity employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status. For more information about equal employment opportunity, visit our Genentech Careers page.

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