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Machine Learning Scientist, MLDD

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Genentech

18d ago

  • Job
    Full-time
    Mid Level
  • Data
  • $144.9K - $269.8K
  • New York City, +1

AI generated summary

  • You have a PhD or MS degree in Computational Biology, Computer Science, or related field, with deep learning experience in Python. Strong research background and communication skills required. Biology or immunology data experience preferred. Build a strong public computational project portfolio.
  • You will apply ML methods to analyze biological data, collaborate with teams to develop models, manage collaborations between departments, and present scientific findings.

Requirements

  • You will have a PhD degree in Computational Biology, Structural Biology, Computer Science, Physics or related disciplines, or a MS degree in the above disciplines with 3+ years of industry research experience.
  • You will have demonstrated experience with Python and deep learning libraries such as Pytorch and/or TensorFlow and/or JAX
  • You will have demonstrated research experience, including at least one first author publication or equivalent.
  • You will have a publication record and experience contributing to research communities, including conferences like NeurIPS, ICML, ICLR, CVPR, ACL, etc.
  • You will have trong communication and collaboration skills.
  • Preferred:
  • Experience working with data from biology, immunology or related disciplines
  • Public portfolio of computational projects (available on e.g. GitHub)

Responsibilities

  • Your
  • responsibilities will include data preparation and cleaning, deploying both internal and external discriminative and generative models, and closely collaborating and communicating with colleagues in Genentech’s antibody engineering department.
  • You will apply novel Computational Biology/Machine Learning methods to answer challenging research questions in LMDD
  • You will work with biological data from heterogeneous sources
  • You will collaborate closely with cross-functional teams across gRED to solve complex problems including developing models to predict antigen-antibody affinity and developability properties and to perform generative design of de novo macromolecules
  • You will manage collaborations between experimental biologists and computational colleagues and bioinformaticians across departments in the organization.
  • You will contribute to and drive publications and present scientific findings at internal/external venues.

FAQs

What are the main responsibilities of a Machine Learning Scientist in the MLDD department at Genentech?

The main responsibilities include applying novel Computational Biology/Machine Learning methods to answer research questions in LMDD, working with biological data from various sources, collaborating with cross-functional teams to solve complex problems, managing collaborations between experimental biologists and computational colleagues, contributing to publications, and presenting scientific findings at internal/external venues.

What qualifications are required for a Machine Learning Scientist in the MLDD department at Genentech?

A PhD degree in Computational Biology, Structural Biology, Computer Science, Physics, or related disciplines is preferred, or a Master's degree with 3+ years of industry research experience. Experience with Python and deep learning libraries such as Pytorch, TensorFlow, or JAX, a research publication record, and strong communication and collaboration skills are also required.

What additional experience or skills are preferred for a Machine Learning Scientist in the MLDD department at Genentech?

Preferred qualifications include experience working with data from biology or related disciplines, and having a public portfolio of computational projects available on platforms like GitHub.

Science & Healthcare
Industry
10,001+
Employees
1976
Founded Year

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