Job Abstract

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.

Genentech seeks a highly motivated Senior AI Scientist to join the Single Cell Genomics Methods and Models group within the BRAID (Biology Research | AI Development) department in Genentech Research and Early Development (gRED). Our group is dedicated to developing the next generation of Machine Learning models to transform how we use transcriptomics data to find targets, understand disease biology, and model patient populations. We are committed to driving innovation through cutting-edge ML methods with real-world impact in the drug discovery field.

The Opportunity

This position is for a genomics-oriented ML specialist to build genomics-based foundation models as part of a nimble and creative team. This person is expected to bring an in-depth understanding of scRNAseq data, experience training various neural network models, and a can-do attitude. You will collaborate closely with an existing team of software developers, machine learning experts, and computational biologists to develop and train large models on massive internal scRNAseq data collections to guide target discovery and clinical development decision-making. 

• You will lead the application of cutting-edge ML models to address bottlenecks in target discovery and drug development.

• You will collaborate closely with different therapeutic areas and cross-functional teams in gRED to understand needs and concerns.

• You will provide domain-specific input to the development of foundation models.

• You will scale ML models to large biological datasets, working at the intersection of deep learning and engineering challenges to support new scientific questions.

• You will regularly publish in top-tier ML venues and/or scientific journals, presenting results at internal and external scientific venues, conferences, and workshops.

Who you are

• You have a PhD or equivalent experience in computational biology  (?e.g.? Bioinformatics, Computer Science,  or related technical field).

• You have excellent knowledge of the practice of deep learning and familiarity with modern architectures as demonstrated in past projects and/or publications.

• You have extensive experience with scRNAseq data and understand the opportunities and limitations of the data modality

• You have demonstrated strengths in developing new computational tools and models

• You have a strong publication record at top-tier venues.

• Advanced skills in Python and deep familiarity with Machine Learning libraries such as Pytorch and Pytorch Lightning

• You have strong analytical and written/verbal communication skills. 

• You are motivated to learn and apply new Machine Learning techniques working as part of a team with other department members.

Preferred 

• You have an interest in understanding applications of foundation models in biology especially in the context of drug and target discovery and development

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Relocation benefits are available for this posting

The expected salary range for this position based on the primary location of California is $165,200 - 306,800. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors 

Benefits

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.