2027 Spring Intern - Product Technical Development - Digital Sciences Focus

2027 Spring Intern - Product Technical Development - Digital Sciences Focus

Department Summary

Pharmaceutical Technical Development (PTD) develops, delivers, and supports robust, cost-effective production methods and technologies for innovative therapeutics to meet the needs of Genentech’s Research, Development, Commercial, and Product Operations groups. The group has long been recognized as a world leader in developing large-scale manufacturing processes, sophisticated analytical methods, and effective drug delivery systems.

This internship position is located in South San Francisco, on-site  

The Opportunity

A Technical Development Intern position is available in the Analytical Department (PTDA within Pharma Technical Development Organization) with Digital Sciences focus. Candidates applying for the PTDA Intern Program should be passionate about science/engineering and thoroughly enjoy the challenges associated with complex problem-solving. Candidates must be highly self-motivated and able to work effectively as individuals and as part of multi-disciplinary teams in an atmosphere of casual intensity to develop medicines for unmet medical needs.

As a Digital Sciences intern, you can expect to leverage your programming skills to contribute to digital projects, such as full-stack software applications and data science models, that will make an impact across the entire PTD organization. These projects are often aimed to enable greater insights from data, more innovative drug development, and faster delivery of medicines to patients. Previous internship projects have included but are not limited to:

• Design and build automated data processing workflows and comprehensive visualization dashboards to analyze complex mass spectrometry data.

• Conduct data-driven analyses by digital tools to benchmark and quantify performance metrics (e.g. sensitivity, speed, and robustness) across advanced mass spectrometry platforms.

• Developing in-house data extraction, processing, and visualization tools to increase throughput for mass spectrometry related data.

• Creation and implementation of information databases and standardized operational guidelines through rigorous data analysis

Program Highlights

• Intensive 6-Months (with a possible 6-month extension), full-time, (40 hours per week) paid internship.

• Program start dates are in January 2027.

• 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.

• 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): 

Required Education: You meet one of the following criteria:

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

• Must have attained a Bachelor's Degree (not currently enrolled in a graduate program).

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

• Must have attained a Master's Degree.

• Must be pursuing a PhD (enrolled student).

• Must have attained a PhD.

Required Majors: Computer Science, Chemical Engineering, Biomedical Engineering, Mechanical Engineering, Bioengineering, Pharmaceutical Engineering, Chemistry, Biology, Microbiology, Biophysics, or related disciplines. 

Required Skills: 
 

• Ability to show a high degree of adaptive capacity.

• Detail-oriented, enthusiastic, and self-directed individual who is excited about tackling complex and creative scientific challenges in an industrial setting.

Preferred Knowledge, Skills, and Qualifications

• Relevant work experience with coding/computer science (e.g. Python, R, Flask, Django, React, etc.) in a research lab or biotechnology industry setting is desirable but not required.

• Relevant work experience with LLM and AI coding agents (e.g. Gemini, ChatGPT, Claude Code etc.) in a research lab or biotechnology industry setting is desirable but not required.

• Relevant work experience with mass spectrometry data processing tools (e.g. Xcalibur, Freestyle, PMI Byonic, etc.) in a research lab or biotechnology industry setting is desirable but not required.

• Relevant work experience working with protein analysis using mass spectrometry in a research lab or biotechnology industry setting is desirable but not required.

• Excellent communication, collaboration, and interpersonal skills.

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

To Apply:

• Complete the online application linked to this job requisition

• Upload a copy of your curriculum vitae (CV) in PDF format to the online application

• On the first page of your CV, please include a cover letter (not to exceed 1 page in length) that addresses the following questions:

• What strengths are you most proud of that you will bring to your role as an intern at Genentech?

• How does interning at Genentech fit in with your long term career goals?

• Please describe a unique situation in either your academic, personal, or career areas of your life in which you took initiative that had a meaningful impact on either your school, community, or an organization.

• Optional:  Is there anything else you would like us to know as we consider your candidacy for the Outstanding Student Award?

Relocation benefits are not available for this job posting. 

The expected salary range for this position based on the primary location for this position in California is $28.00 - $52.00 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. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.