2026 Summer Intern - Computational Sciences Center of Excellence AI for Drug Discovery

2026 Summer Intern - Computational Sciences Center of Excellence AI for Drug Discovery

Department Summary

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.

The Opportunity

• 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.

Program Highlights

• 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.

Who You Are (Required)

Required Education:

You 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,Data/Information Science, 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/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.

Preferred Knowledge, Skills, and Qualifications

• 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.

Relocation benefits are not available for this job posting.

The expected salary range for this position based on the primary location of New York is $45.00-$50.00 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.

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.