Lead AI Scientist - Multimodal Translational Medicine

The Position

Principal AI Scientist - Multimodal Translational Medicine

We are looking for a highly driven AI Scientist to work within our Oncology Biomarker Development team, focusing on enhancing our Oncology pipeline through translational medicine efforts. The selected candidate will have advanced skills in data analysis and machine learning, and will collaborate with a team of computational and biological scientists to perform translational oncology research using multimodal translational data sets from clinical development programs.

For this role, a proven scientific leader is desired with a consistently outstanding record of creativity and performance in multimodal data integration and analysis in the field of cancer biology R&D. This record should be evidenced by peer-reviewed publications in top-tier journals, patent applications and/or publicly available code repositories.

As a Principal AI Scientist, you are expected to:

• Lead advanced machine learning and analytical methods to extract insights into disease biology and support innovative clinical development programs and publication on multimodal translational data sets, which include single cell and spatial ‘omics, RNAseq, ctDNA, digital pathology, and clinical data.

• Actively and cooperatively promote scientific and technical innovation within the Department.

• Direct and support the publishing of high quality scientific, technical or medical journals.

• Represent the department and translational teams in external 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

• You hold a PhD in a relevant field (e.g. computer science, computational biology, bioinformatics, molecular biology, cancer biology, genomics).

• You have a minimum of 3 years of post-PhD experience, with proven scientific leadership in integrating, analyzing and interpreting multimodal biological data in an academic and/or industry setting.

• You are fluent with Python and data analysis using modern deep learning frameworks (e.g. Pytorch, TensorFlow-Keras).

• You have experience with RNAseq data, systems biology tools, and pathway analysis.

• You have excellent communication and collaboration skills.

• Experience with image analysis methods, particularly around spatial biology, is desirable.

The anticipated salary range for this position, based in South San Francisco, CA, is $165,600 - $307,500. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. The availability of a discretionary annual bonus based on individual and Company performance is also a possibility. This role also qualifies for the benefits detailed at the provided link below.

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Who we are

Genentech, a member of the Roche Group, has been at the leading front of the biotechnology industry for more than four decades. Our human genetic information has been used to develop innovative medicine to address critical and life-threatening diseases. We have several therapies on the market, catering to cancer and other grave illnesses. Consider this an opportunity to learn more about Genentech, where we believe our employees are our key asset and we are dedicated to maintaining a great workplace.

are crucial to our success and impact on society. We believe that diversity of backgrounds, ideas, and experiences fosters a sense of belonging and allows us to create an environment where every employee feels valued, included, and empowered to contribute their best for the patients we serve. Our focus lies in attracting, keeping, developing and promoting our people to reach their full potential by rewarding innovative thinking and incorporating inclusive behaviors in all aspects of our work.

Genentech, an equal opportunity employer, embraces the growing diversity around us. 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 is not tolerated.More information about equal employment opportunity is available on our

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