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 the 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.

This internship position is located Onsite in South San Francisco.

The Opportunity

This internship offers a unique opportunity to collaborate with a leading team in computational sciences. You will:

• Develop a framework to enhance production efficiency in training and communication content, focusing on cutting-edge instructional design principles.

• Conduct a detailed assessment of current communication and training tools, providing actionable recommendations to enhance effectiveness and engagement.

• Create a comprehensive framework for maintaining and updating training content to ensure it aligns seamlessly with system updates and feature modifications using the latest content creation technologies.

• Design integrated process training modules that complement system training, offering a holistic and immersive learning experience.

• Innovate training content presentation by leveraging modern, engaging formats such as interactive e-learning modules, video content, and gamified learning experiences to boost user engagement and retention.

Program Highlights

• Intensive 12-week, 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

You meet one of the following criteria:

• Must be pursuing or have attained an Associate's Degree OR

• Must be pursuing a Bachelor's Degree (enrolled student) OR

• Must be pursuing a Master's Degree (enrolled student).

Required Skills

• Strong analytical and problem-solving skills.

• Ability to work independently and collaboratively in a fast-paced environment.

• Strong written and verbal communication skills, especially in translating complex concepts into accessible training materials.

• Strong enthusiasm for learning new instructional design methodologies and technologies.

• Creativity and innovation in designing engaging and effective learning experiences.

Preferred Knowledge, Skills, and Qualifications

• Candidates that are part of the SFSU/PINC program are highly preferred.

• Familiarity with training content development or instructional design.

• Previous internship or project experience in biotechnology, computational sciences, or a related field.

• Knowledge of multimedia content creation, including video editing and graphic design.

• Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.

Relocation benefits are not available for this job posting.

The expected salary range for this position based on the primary location of California is $23.00-$40.00 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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