2025 Summer Intern - Computational Catalysts

Department Summary

At Genentech Research & Early Development (gRED) we have initiated an exciting journey to bring together and further strengthen our computational talent and capabilities by forming a new, central organization - gRED Computational Sciences (gCS). gCS is on a mission to partner across the organization to realize the potential of data, technology and computational approaches that will revolutionize how targets and therapeutics are discovered and developed, ultimately enabling novel treatments for patients across the world. We stand at the beginning of this exciting journey.

The Computational Catalysts group within gCS is a diverse, curious and action-driven team at the intersection of computation, engineering and science with ambition to advance our technical excellence. The focus of the team is on partnering with the informatics and scientific communities to create a computational and data ecosystem that powers scientific discovery and accelerates decision making. We aim to modernize our ability to acquire, store, link, share, find and analyze data across the organization through scalable and integrated solutions that truly make every data point count.

The Data Solutions and Engineering group within Computational Catalyst is accountable for establishing a common Data Fabric which connects our Systems, specifically our Data Pipelines and Applications. This team strives to build delightful applications and systems for our stakeholders with a strategic mindset. The team is responsible for the end to end product lifecycle management and the work done is leveraged downstream for building key scientific insights and enabling our ML/AI workflows and models.

The Opportunity

We are seeking a motivated and skilled intern to join our team and contribute to advancing our data ecosystem. During the internship, you will gain experience working on a project aimed at transforming and enriching legacy preclinical data into a vital asset used for gaining additional scientific insight.

Exposure to preclinical study data and an introduction to regulatory data structures (e.g. SEND)

Introductions to pharmacokinetics and components of the drug discovery lifecycle

Implement Python tools in a maintainable and extensible way

Present future development and recommendations for the tool you built in the form of an oral and poster presentation.

Program Highlights

Intensive 12-weeks, full-time (40 hours per week) paid internship.

Program start dates are in May/June (Summer)

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. 

The opportunity to work with modern computational tools and resources.

Who You Are (Required) 

A successful candidate applying for the gCS Catalyst Intern Program should be passionate about science/software, curious about the pharmaceutical industry and thoroughly enjoy the challenges associated with complex problem solving. You are highly motivated to learn established coding standards, internal tech stacks and relevant industry software/computational technologies. 

Required Education: You meet one of the following criteria:

Must be pursuing or have attained a Bachelor’s Degree (recent graduates not currently enrolled in a grad program).

Required Majors: Software Engineering, Computer Science, Bioinformatics or related fields. 

Required Skills: 

Must be highly proficient in at least one computer programming language; Python highly preferred.

Basic SQL knowledge

Basic understanding of laboratory science and familiarity with units of measure

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.

Previous experience with Python virtual environment, package management and build lifecycle.

Experience with Pandas Python library

Experience with AWS 

Proficiency with git, testing procedures and software development life cycle.

Relocation benefits are not available for this job posting. 

The expected salary range for this position based on the primary location of  California is $45 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, 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.