Job Description:
The position:
Machine Learning Engineer, Genentech Computational Sciences / Computational Catalysts / Scientific Insights Engineering
The team:
At Genentech Research & Early Development (gRED) we have initiated an exciting journey to bring together and further strengthen our computational talent and capabilities by forming a new, central organization - gRED Computational Sciences (gCS). gCS is on a mission to partner across the organization to realize the potential of data, technology and computational approaches that will revolutionize how targets and therapeutics are discovered and developed, ultimately enabling novel treatments for patients across the world. We stand at the beginning of this exciting journey.
The Computational Catalysts group within gCS is a diverse, curious and action-driven team at the intersection of computation, engineering and science with ambition to advance our technical excellence. The focus of the team is on partnering with the informatics and scientific communities to create a computational and data ecosystem that powers scientific discovery and accelerates decision making. We aim to modernize our ability to acquire, store, link, share, find and analyze data across the organization through scalable and integrated solutions that truly make every data point count.
The Opportunity:
What you will do:
Who you are:
Educational Background: B.S. in Computer Science, Machine Learning, Statistics, Mathematics, Physics, or a related field (Graduate degree preferred).
Experience : Proven track record with 4+ years of experience developing and applying ML models in an industry setting.
Technical Skills:
Soft Skills:
Note from the hiring manager:
Work schedule: Preference is for on-site, in-person work in SSF at least three days a week.
Hourly Pay Rate Range (dependent on location, experience, expectation)
Magnit has an ongoing commitment to the diversity and inclusion of all team members. We believe that embracing diversity leads to innovation and helps address the needs of the business. We welcome individuals from different backgrounds, experiences, and cultures to join our team. We value this diversity and strive to create an inclusive environment that celebrates these unique perspectives, allowing you to contribute to your full potential. Finally, but most importantly, we expect all team members to be treated with dignity and respect.
If you have a disability and need an accommodation in relation to the online application process, please email us at [email protected]
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