2025 Summer Intern - GSFQA Computational Catalyst
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 in South San Francisco, on-site.
The Opportunity
Support data life cycle management projects that enable the storage, organization, dissemination, and analytics of data in alignment with the scientific objectives of the scientific functional groups.
Understand the problems the scientists need to solve and work to find the best solutions to those problems. Work effectively with geographically diverse engineering teams and scientific collaborators, ensuring clear and timely communication among all parties.
Lead generic image data QC pipeline development while effectively communicating strategy and downstream workflow integrations
Ensure delivery of relevant informatics solutions such as data processing tools built with scripting languages like R and Python and data visualization tools like Tableau, Spotfire, and R Shiny by delivering data and informatics solutions to internal business partners.
Program Highlights
Intensive 12-weeks, full time (40 hours per week) paid internship.
Program start dates are in May 2023.
Ownership of challenging and impactful business-critical projects.
Work with some of the most talented people in the biotechnology industry.
Final presentations of project work to senior leaders.
Lead or participate in intern committees to design and coordinate program events and initiatives.
Professional & personal development curriculum throughout the program, including networking opportunities, workshops, and panel discussions.
Participate in volunteer projects, social events, and team-building activities.
Who You Are
Required Education:
Must be pursuing or have attained an Associate's Degree.
Must be pursuing or have attained a Bachelor's degree (recent graduates not currently enrolled in a grad program).
Must be pursuing or have attained a Master's degree.
Must be pursuing a PhD.
Required majors:
Computer sciences, Data science, Biomedical engineering, Genetics, Bioinformatics, Computational biology, Biophysics, Physics, Computer vision, AI/ML.
Other Qualifications
Excellent communication, collaboration, and interpersonal skills.
Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
UNIX/Linux operating system in the context of a scientific environment, especially one that is related to drug development.
Experience collecting, translating, and documenting user requirements into software requirements and working with offshore development teams to get those implemented. Ability to work on complex projects with general direction and work both independently and cross-functionally
Ability to harmonize business processes and solution architectures across sites and departments by propagating common standardized data models, applications and technologies that are in line with the cross-functional or functional Informatics strategies and architectures.
Experience with Agile Scrum software development methodologies
Hands-on experience with language/technologies: Python, Perl, R, SQL, Dash, and Shiny
Hands-on experience with high dimensional data science skills including data qc, processing, analysis, and visualization in high content genomics data, high-resolution image data, spatial proteomics, and transcriptomics data.
Image processing, data management, communication. computational biology. bioinformatics, programming, bash scripting, cloud computing.
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-$50 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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