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.

ADDITIONAL DESIRED QUALIFICATIONS:

• Experience working with data from biology, immunology or related disciplines.
• Experience with antibody structure, function, and sequence data.
• Public portfolio of computational projects (available on e.g. GitHub).
  Relocation benefits are available for this job posting.
  The expected salary range for this position based on the primary location of California is $147,600, - $274,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
  Benefits
  

  ComputationCoE

tech4lifeComputationalScience

tech4lifeAI

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company’s policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

• Develop and/or apply novel Computational Biology/Machine Learning methods to answer challenging research questions in LMDD.
• Work with biological data from heterogeneous sources.
• Collaborate closely with cross-functional teams across gRED to solve complex problems including developing models to predict antigen-antibody affinity, antibody-antigen complex structure, and developability properties.
• Closely collaborate with drug discovery teams to contribute to the Roche large molecule portfolio, solving unique and challenging protein design and engineering tasks.
• Contribute to and drive publications and present scientific findings at internal/external venues.