Senior Scientist - AI / ML, Spatial Genomics

Key Skills

Aartificial intelligence, Bioinformatics, Effective communication skills, Machine learning techniques, Oncology, Python Programming, PyTorch

Job Description

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.

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.