Senior AI Scientist – Multimodal Translational Medicine

Computational Biology          ·         South San Francisco, California         ·         Full time

The Position

Senior AI Scientist – Multimodal Translational Medicine

We seek a highly motivated AI Scientist within Oncology Biomarker Development to drive translational medicine efforts focusing on Genentech’s Oncology pipeline. The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development. 

For this position, we are seeking a demonstrated scientific leader with a consistent and outstanding record of creativity and performance in multimodal data integration and analysis for cancer biology R&D, evidenced by peer reviewed publications in top tier journals, patent applications, and/or publicly available code repository.

As a Senior AI Scientist, you are expected to: 

• Lead advanced machine learning and analytical method application to extract disease biology insights and support innovative clinical development programs and publications on multimodal translational data sets that include single cell and spatial ‘omics, RNAseq, ctDNA, digital pathology, and clinical data.
• Actively and collaboratively promote scientific and technical innovation with other members of the Department.
• Direct and support publications in high quality scientific, technical or medical journals.
• Represent the department and translational teams externally through interactions with our key  computational collaborators.
• Interact with key partners and investigators and effectively manage internal and external scientific collaborations.
• Participate and thrive in an interactive, collaborative, and team-oriented culture.

Who You Are 

• PhD degree in a relevant field (e.g. computer science, computational biology, bioinformatics, molecular biology, cancer biology, genomics) .
• Minimum of 3 years post-PhD experience, with demonstrated scientific leadership in integrating, analyzing, and interpreting multimodal biological data in an academic and/or industry setting.
• Fluency with Python and data analysis using modern frameworks for deep learning (e.g. Pytorch, TensorFlow-Keras).
• Experience with systems biology tools and pathway analysis.
• Excellent communication and collaboration skills.
• Experience with image analysis methods, particularly around spatial biology, is desirable.

Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.

Genentech requires all new hires to be fully vaccinated against COVID-19 as of their start date. This requirement is a condition of employment at Genentech, and it applies regardless of whether the position is located at a Genentech campus or is fully remote.  If you are unable to receive the vaccine due to a disability or serious medical condition, or because it is prohibited as a result of your sincerely held religious beliefs, you will have an opportunity to request a reasonable accommodation.

Job Facts

Job Sub Category: Computational Biology
Schedule: Full time
Job Type: Regular
Posted Date: Aug 12th 2022
Job ID: 202208-130824

Beginning September 30, 2021, Genentech requires all new hires to be fully vaccinated against COVID-19 as of their start date.  This requirement is a condition of employment at Genentech, and it applies regardless of whether the position is located at a Genentech campus or is fully remote.  If you are unable to receive the vaccine due to a disability or serious medical condition, or because it is prohibited as a result of your sincerely held religious beliefs, you will have an opportunity to request a reasonable accommodation. 

Please click here to apply.