Job Information
Genentech, Inc. 2025 Summer Intern - Software Engineering Machine Learning Drug Discovery (MLDD) in New York, New York
The Position
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 in New York, New York and/or San Francisco, CA, on-site.
The Opportunity
Creating software to enable ML driven in-silico drug discovery.
Contribute to our current infrastructure that composes our models together.
Collaborate closely with engineers and scientists to work on active projects.
Work on developing a standard to evaluate and benchmark models pre-production, and develop APIs to be able to promote them into production.
Program Highlights
Intensive 12-weeks, full-time (40 hours per week) paid internship.
Program start dates are in May/June (Summer 2025).
A stipend, based on location, will be provided to help alleviate costs associated with the internship.
Ownership of challenging and impactful business-critical projects.
Work with some of the most talented people in the biotechnology industry.
Who You Are
Required Education:
You must meet one of the following criteria:
Must be pursuing a Bachelor's Degree (enrolled student).
Must be pursuing a Master's Degree (enrolled student).
Required Majors:
Computer Science, Engineering, or related fields
Required Skills:
Strong programming skills in Python or another relevant language; ability to write, optimize, debug, and test production-ready code, and previous software engineering work experience
Knowledge and understanding of version control and the software development process, and the ability to work in a team environment
Experience in working across different layers of the technology stack
Experience and interest in automation through software
Familiarity with databases, and ML model inference and evaluation
Keen interest in biology software and applications, and enthusiasm about ML in the life sciences.
Preferred Knowledge, Skills, and Qualifications
Working experience with CI/CD
Working experience deploying applications to cloud infrastructure
Knowledge and understanding of Kubernetes
Experience with data/ml workflow orchestrators
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.
#GNE-Commercial-Interns-2025
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.
Roche is an Equal Opportunity Employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status.
Minimum Salary: 31200.00 Maximum Salary: 31200.00 Salary Unit: Yearly
