2025 Summer Intern – Software Engineering Machine Learning Drug Discovery (MLDD), Prescient Design
Department Summary
At Genentech Machine Learning Drug Discovery (MLDD), Prescient Design, we are revolutionizing drug discovery with ground breaking machine learning techniques. The Engineering team within Prescient Design works on applications and infrastructure that make drug discovery R&D possible. One such paradigm is Lab in the Loop (LITL) which connects the in-silico drug discovery with wet lab evaluations about a particular hypothesis about a new drug candidate.
We are seeking exceptional interns with a demonstrated background in software development, and a strong interest in implementing novel research ideas with efficient and maintainable code. As an intern, you will work alongside engineers and scientists on projects with a real world impact to develop critical software used across Prescient Design, Genentech and Roche. We are particularly interested in candidates who are enthusiastic about automation, scalable services, and ML infrastructure. A background in biology is advantageous but not required for this role.
This internship position is located inNew York, New York and/or San Francisco, CA, on-site
The Opportunity
Program Highlights
Who You Are
Required Education:
You must meet one of the following criteria:
Required Majors:
Required Skills:
Preferred Knowledge, Skills, and Qualifications
Relocation benefits are not available for this job posting.
The expected salary range for this position based on the primary location of New York and/or California is $45-$50/hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.
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Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.
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