Senior Machine Learning Scientist, AI for Drug Discovery (Frontier Research at Genentech
San Francisco, California, USA -
Full Time


Start Date

Immediate

Expiry Date

04 Dec, 25

Salary

310800.0

Posted On

04 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

THE POSITION

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.
Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.

Responsibilities
  • You will develop novel statistical methods that combine the strenghts of machine learning and Bayesian statistics
  • 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.
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