Senior Scientist - AI / ML, Spatial Genomics

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 Genentech.

Genentech seeks a highly motivated Senior ML Scientist to join the Cellular States and their Organization group within the BRAID (Biology Research AI Development) department in Genentech Research and Early Development (gRED).

Our group is committed to designing and implementing transformative Machine Learning capabilities to model and probe the cellular biology of disease, from DNA variation to tissue organization, and how it is manifested in the patient populations we want to impact.

These underpin our goal to revolutionize how we discover and characterize novel therapeutic targets and the clinical contexts in which they can be most safe and efficacious.

This way, we intend for state (and future)-of-the-art Machine Learning to have material and positive societal impact.

The Opportunity

In this position, you will lead development and application of next generation ML methods for the representation, analysis and interpretation of spatial genomics data and its integration with other imaging and sequencing data modalities.

Successful candidates are expected to bring significant experience with single cell and spatial data, demonstrable experience of thoughtfully implementing modern neural network models for biological applications and a deep curiosity for how these will impact therapeutic and target discovery.

You will work closely with an existing team of software developers, machine learning experts, computational biologists and wet lab collaborators to develop multimodal models of multi-cellular communities in their tissue contexts.

You will immediately impact key ongoing and planned projects in diverse therapeutic areas including Neuroscience, Immunology, Cancer Immunology and Molecular Oncology.

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, computational biology 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 single cell and spatial data and be familiar 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 appropriate top-tier venues.

Advanced skills in Python and Machine Learning libraries such as Pytorch and Pytorch Lightning

You have strong analytical and written / verbal communication skills.

Motivated to learn and apply new Machine Learning techniques working as part of a team with other department members.

An interest in developing and applying biological foundation models for target discovery and drug development

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 $165,200 to $306,800.

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, 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.