2026 Summer Intern - Computational Sciences Center of Excellence AI for Drug Discovery
About 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 this 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. We seek exceptional interns who are eager to implement novel ideas with efficient code. Interns will collaborate with engineers and scientists on high-impact projects, developing critical software and data solutions for AI4DD (AI for drug discovery), CS CoE, Genentech, and Roche. We value candidates enthusiastic about automation, scalable services, and ML infrastructure. A biomedical background is beneficial but not required. This internship position is located in New York, on-site.
Requirements
- Must be pursuing a Bachelor's Degree (enrolled student).
- Must be pursuing a Master's Degree (enrolled student).
- Required Majors: Computer Science/Engineering, Data/Information Science, or related fields.
- Strong programming skills in Python or another relevant language; ability to write, optimize, debug, and test production-ready code, and previous software/data 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 scientific software and applications, and enthusiasm about ML in the life sciences.
Nice To Haves
- Excellent communication, collaboration, and interpersonal skills.
- Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
- Working experience with CI/CD.
- Working experience deploying applications to cloud infrastructure.
- Knowledge and understanding of Kubernetes.
- Experience with data/ML workflow orchestrators.
Responsibilities
- Creating software/data solutions to enable ML driven in-silico drug discovery.
- Contribute to our current data infrastructure.
- Collaborate closely with engineers and scientists to work on active projects.
Benefits
- Intensive 12-weeks, full-time (40 hours per week) paid internship.
- Program start dates are in May /June 2026.
- 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.
- paid holiday time off benefits
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Number of Employees
5,001-10,000 employees
