Machine Learning Scientist/Senior Machine Learning Scientist - Prescient Design / Machine Learning for Drug Discovery

The Opportunity

Prescient Design has joined Genentech's Research and Early Development organization (gRED) in order to apply their cutting-edge technology and machine learning approach to our drug discovery efforts. We believe that Prescient Design's platform and expertise, combined with our growing internal computational capabilities, can ultimately help us bring better medicines to patients, faster.

Our Frontier Research team is focused on advancing fundamental machine learning and its application to real-world challenges in drug discovery. Our mission is to uncover ideas and technologies that will make a meaningful impact on healthcare, shaping the future of how treatments are developed. Instead of focusing on incremental improvements, we tackle complex problems that require creative thinking and a broad perspective, working at a level that enables solutions to be applied across multiple areas.

In biology, many exciting research questions cannot yet be addressed with off-the-shelf ML approaches-they demand not only novel solutions but also new ways of framing the questions themselves, often beyond existing ML paradigms. We believe that causal learning and generalization provide the most promising paths to connect these fields and build robust, impactful solutions.

Machine Learning Scientist

In this role, you will

• You will develop methods inspired by causal ML to deliver robust, generalizable solutions.

• You are expected to contribute to publications, and present your results at internal and external scientific conferences.

• You will collaborate, and execute on research that pushes forward the state of the art in machine learning for drug discovery.

• You will directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.

• You will work with a large and globally distributed team.

Who You Are

• You have a PhD degree in Computer Science, Statistics, Machine Learning, Physics or related disciplines, or an MS degree in the above disciplines with 3+ years of industry research experience.

• You have demonstrated experience with Python and deep learning libraries such as Pytorch.

• You have demonstrated research experience, at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, AISTATS, and ACL).

• You have strong communication and collaboration skills.

Preferred:

• Experience working with biomedical data

• Experience with research related to causal inference and/or large language models

• Public portfolio of computational projects (available on e.g. GitHub)

The expected salary range for this position based on the primary location of New York City is $141,100 - 262,100 of hiring range. 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.

Senior Machine Learning Scientist

In this role, you will:

• You will develop methods inspired by causal ML to deliver robust, generalizable solutions.

• You are expected to contribute to and drive publications, and present your results at internal and external scientific conferences.

• You will lead, collaborate, and execute on research that pushes forward the state of the art in machine learning for drug discovery.

• You will directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.

• You will work with a large and globally distributed team.

• You will help identify long-term ambitious research goals as well as intermediate milestones.

• You will prioritize research that can be applied to product development.

• You will mentor other team members. Play a significant role in healthy cross-functional collaboration.

Who You Are

• You have a PhD degree in Computer Science, Statistics, Machine Learning, Physics or related disciplines, or an MS degree in the above disciplines with 5+ years of industry research experience.

• You have demonstrated experience with Python and deep learning libraries such as Pytorch.

• You have demonstrated research experience, including at least one First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, AISTATS, and ACL).

• You have strong communication and collaboration skills.

Preferred:

• Experience working with biomedical data

• Experience with research related to causal inference and/or large language models

• Public portfolio of computational projects (available on e.g. GitHub)

The expected salary range for this position based on the primary location of New York City is $160,100 - 297,300 of hiring range. 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.

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Relocation benefits are available for this job posting

Benefits

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.