Machine Learning Scientist, MLDD

Genentech

Jun 28

Applications are closed

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

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.

Genentech

Science & Healthcare

Industry

10,001+

Employees

1976

Founded Year

Mission & Purpose

About Genentech We're passionate about finding solutions for people facing the world's most difficult-to-treat conditions. That is why we use cutting-edge science to create and deliver innovative medicines around the globe. To us, science is personal. Community Guidelines: 1. We want to foster positive conversation and diverse community around the issues we are passionate about. To that end, we remove profanity, content that contains credible threats or hate speech, content that is aimed at private individuals, personal information meant to harass someone, and repeated unwanted messages. 2. Don’t mention any medicines by name — ours or anyone else’s. Because of the fair balance rules governing our industry, we cannot post any comments that reference any pharmaceutical brand, product, or service. Please do not mention any specific medicines by name, or include any links to third party sites in your comments. 3. This isn’t the place to report or discuss side effects. This site is not intended as a forum for reporting side effects experienced while taking a Genentech product. Instead, you should report any side effects to Genentech Drug Safety at 1-888-835-2555. You can also report side effects of any prescription product directly to the FDA at 1-800-FDA-1088 or by visiting www.FDA.gov/medwatch. 4. Don’t pitch your product or service. Please don't use our page as a place to promote your product or pitch your services. Please also avoid posting links to external sites. We reserve the right to remove any posts that are deemed promotional.