South San Francisco, California, USA
1 day ago
2025 Spring Intern - Product Development Data Sciences
The Position2025 Spring Intern - Product Development Data Sciences

Department Summary

Product Development Data Sciences is a group of more than 1,000 data scientists across 5 global sites. We deliver data and insights about our medicine with excellence and passion. Our mission is to unlock the full potential of data, to accelerate innovative healthcare solutions for patients and society.

This internship position is located in South San Francisco, on site (with the possibility of on-site/remote after the first 12 weeks).

Key Responsibilities

Develop scalable software solutions, data pipelines and infrastructures to facilitate integration, deployment and release of R/Python and other data science languages, including AI applications

Learn and understand software development gaps our data scientists face, and propose and deliver solutions, automations and innovations to amplify their impact

Continually search for opportunities to automate workflows and streamline processes

Work with business stakeholders through to highly technical software engineers to identify functional needs

Program Highlights

6 months paid internship, first 12 weeks must be full time (40 hours/week) onsite, while the rest can be either full time or part time, remote or onsite, with the opportunity to extend to up to 12 months.

Program start date is in January 2024.

A stipend will be provided to selected interns 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 pharmaceutical 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: You meet one of the following criteria:

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

Must have attained a Master's Degree or a PhD (no more than a year ago).

Required majors: Statistics, Biostatistics, Computer Science, Data Science, Mathematics, Biotechnology, or related fields.

Required knowledge, skills, and experience

Experience with software development workflow including versioning and code collaboration with Git, and CI/CD tools is essential.

Expert knowledge on R/Python/javascript.

Knowledge of ML concepts and understanding of ML-based product lifecycle and operations. Familiarity with ML toolkits.

Excellent communication, collaboration, and interpersonal skills.

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

Solid training in statistics and/or data science.

Expert problem solver capable of seeking help when needed.

Excellent communicator and team player; comfortable explaining complex technical topics to non-technical audiences.

Intermediate programming ability in R; familiarity with R Shiny a plus.

Experience with software development workflow including versioning and code collaboration with Git.

Passion for learning and curious about drug development in the biotech industry.

Familiarity with time-to-event and clinical data is a plus.

Relocation benefits are not available for this position.

The expected salary for this position based on the primary location of California is $50.00 per 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.

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