Job Description
Genentech
2025 Summer Intern – gRED Computational Catalyst
Department Summary
At Genentech Research & Early Development (gRED), the Computational Catalysts group within the Computational Sciences (gCS) department is a diverse, curious, and action-driven team at the intersection of computation, engineering, and science. We focus on partnering with the informatics and scientific communities to create a computational and data ecosystem that powers scientific discovery and accelerates decision-making. By leveraging modern computational approaches, we aim to revolutionize how targets and therapeutics are discovered and developed, ultimately enabling novel treatments for patients across the world.
Within Computational Catalysts, our team specializes in providing software solutions to power research by developing the next generation of tools for scientists. We work on diverse, impactful projects such as streamlining the authoring and review of regulatory documents, optimizing research operations and enhancing data exploration through chat-driven search. Incorporating the power of AI in our next gen tools is always a focus of ours. Our mission is to deliver scalable, innovative solutions that empower scientists and drive meaningful advancements in medicine.
This internship position is located in South San Francisco, on-site.
The Opportunity
- Design, develop, and maintain user-friendly and responsive web UI based software applications on AWS cloud.
- Develop and maintain backend systems.
- Develop and maintain asynchronous and/or synchronous integrations between systems.
- Design and optimize SQLand No-SQL database schemas and queries for efficient data storage and retrieval.
- Contribute code to other cloud based services written in languages like Java, Python, etc.
- Write and maintain a robust suite of tests to ensure the functionality and integrity of the developed applications.
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.
Who You Are
Required Education:
- Must be pursuing a Bachelor’s Degree (enrolled student).
- Must be pursuing a Master’s Degree (enrolled student).
- Must be pursuing a PhD (enrolled student).
Required Majors:
- Computer Science, Computer Engineering, or a related discipline.
Required Skills:
- Proficiency in Java, Python.
- Familiarity with cloud computing platforms, especially AWS.
- Familiarity with large language models (LLMs) and vector databases.
- Basic knowledge of natural language processing (NLP) techniques and concepts.
- Strong problem-solving abilities and the ability to work independently and collaboratively.
- Interest in contributing to cutting-edge scientific research.
Preferred Knowledge, Skills, and Qualifications
- Understanding of the life sciences or healthcare industries.
- Experience with cloud technologies for hosting scalable software applications and AI models.
- Excellent communication, collaboration, and interpersonal skills.
Relocation benefits are not available for this job posting.
The expected salary range for this position based on the primary location of California is $45.00-$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.
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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.
To apply, please visit the following URL:https://www.jobmonkeyjobs.com/career/26474653/2025-Summer-Intern-Gred-Computational-Catalyst-California-South-San-Francisco-7376/→