Machine Learning Scientist

Description:

At Genentech Computational Sciences (gCS) Prescient Design, we are revolutionizing drug discovery with cutting-edge machine learning techniques. We are seeking talented engineers with a passion for building large-scale, distributed machine-learning algorithms and systems that will transform the drug discovery process.

The Frey lab within the Large Molecule AI/ML Department of Prescient is looking for exceptional machine learning scientists who want to perform high-quality research at the cross-section of machine learning and biology that have a direct impact in large molecule drug discovery. Researchers will primarily focus on the deep learning subfield of machine learning and should have a strong interest in fundamental research in self-supervised learning and training and fine-tuning foundation models.

In this role, you will:
 

• Develop novel Computational Biology/Machine Learning methods to answer challenging research questions in LMDD
• Work with the Genentech Large Language Model team to build and apply LLMs for therapeutic molecule design
• Work with biological data from heterogeneous sources
• Form close working relationships with research teams across the gRED organization
• Contribute to and drive publications and present scientific findings at internal/external venues.
   

Who You Are
 

• You have a PhD degree in Computer Science, Computational Biology, 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 and/or Jax.
• You have demonstrated research experience, including at least one first-author publication or equivalent.
• You have strong communication and collaboration skills