2027 Summer Intern - Product Technical Development - Digital Sciences Focus

Genentech
Genentech logo
Location
South San Francisco
Job Type
Full-time
Posted
October 31, 2026
Hourly Rate
$28 - $34/hour

Job Description

2027 Summer Intern - Product Technical Development - Digital Sciences Focus

Department Summary

Pharmaceutical Technical Development (PTDU) 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

Program Highlights

  • Intensive 12-week, full time (40 hours per week) paid internship.
  • A $2500 OSA Stipend
  • Program start dates are in May and June 2027
  • 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

Key Responsibilities

As a Digital Sciences intern, you can expect to leverage your programming, machine learning, and AI 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:

  • Developing an interactive, web-based tool that visualizes an antibody sequence and highlights notable characteristics of its constituent residues
  • Synthetic lipid modeling with in-silico simulations
  • Creation and implementation of information databases and electronic laboratory notebook schemas
  • In-silico protein stability studies

Who You Are

Education

  • Must be pursuing a bachelor's degree at the time of application (having completed at least 2 years of the degree program)

OR

  • Must have attained a bachelor's degree within 2 years of your application date and must not be currently enrolled in a graduate program
  • 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.
  • Must be able to work 40 hours/week for the duration of the 12 week internship.

Required majors

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

Other Qualifications

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

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 - $34.00 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.

#OSA

2027 Summer Intern - Product Technical Development - Digital Sciences Focus

Department Summary

Pharmaceutical Technical Development (PTDU) 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

Program Highlights

  • Intensive 12-week, full time (40 hours per week) paid internship.
  • A $2500 OSA Stipend
  • Program start dates are in May and June 2027
  • 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

Key Responsibilities

As a Digital Sciences intern, you can expect to leverage your programming, machine learning, and AI 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:

  • Developing an interactive, web-based tool that visualizes an antibody sequence and highlights notable characteristics of its constituent residues
  • Synthetic lipid modeling with in-silico simulations
  • Creation and implementation of information databases and electronic laboratory notebook schemas
  • In-silico protein stability studies

Who You Are

Education

  • Must be pursuing a bachelor's degree at the time of application (having completed at least 2 years of the degree program)

OR

  • Must have attained a bachelor's degree within 2 years of your application date and must not be currently enrolled in a graduate program
  • 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.
  • Must be able to work 40 hours/week for the duration of the 12 week internship.

Required majors

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

Other Qualifications

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

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 - $34.00 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.

#OSA

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.

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Frequently Asked Questions

Where is this job located, and what is the work setting?
The internship is located on-site in South San Francisco.
What qualifications are required to apply?
Applicants must be pursuing a bachelor's degree (completed at least 2 years) or have attained a bachelor's within 2 years without being in a graduate program. Required majors include Computer Science, Bioengineering, Chemistry, or related fields. Candidates must be able to work 40 hours per week for 12 weeks.
What are the key responsibilities of this internship?
Interns leverage programming, machine learning, and AI skills to build digital projects like full-stack software applications and data science models. Responsibilities may include developing web-based visualization tools, synthetic lipid modeling, creating electronic laboratory notebook schemas, and in-silico protein stability studies.
What is the compensation for this position?
The expected salary range for this California location is $28.00 to $34.00 per hour, depending on experience and qualifications.
Does this role provide relocation support?
No, relocation benefits are not available for this job posting.
What benefits are provided for this position?
Interns receive a $2500 OSA Stipend and qualify for paid holiday time off benefits.
How do I apply, and what materials must I submit?
You must complete the online application and upload your CV as a PDF. The first page of your CV must include a cover letter (under 1 page) describing a unique situation where you took initiative to make a meaningful impact.

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  • 51 open roles
  • Verified H-1B salary data
  • Clinical-trial hiring momentum
  • Culture, benefits & locations
View company profile

Job Information

Source: manual
AI Relevance: 80/100 (Highly relevant)
Remote Type: onsite
Skills & Tags:
genentech machine learning data science protein

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