2027 Summer Intern - Biostatistics and Analytical Data Sciences

Genentech
Location
South San Francisco
Job Type
Full-time
Posted
November 12, 2026
Views
44
Hourly Rate
$34 - $52/hour

Job Description

2027 Summer Intern - Biostatistics and Analytical Data Sciences

Department Summary

Product Development Data Sciences at Genentech is a group of over 1000 data scientists across multiple 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.

The Opportunity

Multiple opportunities available, with research interests in the following areas:

  • Statistical research: Solve statistical problems directly relevant to ongoing clinical drug development in diverse therapeutic areas such as oncology, immunology, ophthalmology, neuroscience, cardiovascular, renal, and metabolism. Specific topics may include but are not limited to research problems from early to late-stage clinical trials and post-marketing evaluations.
  • Data analytics: Analyze real-world clinical data to derive data-driven clinical impact and business insights.
  • Data engineering: Exploring efficiencies in data flow from raw to analysis-ready data sets.
  • Programming: Developing or refactoring code to create reusable R packages for data processing or visualization; developing innovative automation solutions for data handling and analytics processes.

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.
  • Professional & personal development curriculum throughout the program, including networking opportunities, workshops, and panel discussions.
  • Work with some of the most talented people in the pharmaceutical industry.
  • Final presentations of project work to senior leadership.
  • Participate in volunteer projects, social events, and team-building activities.

Who You Are

Required Education

  • Bachelor’s degree (required).

Must also meet at least one of the following

  • Must be pursuing a Master's Degree (enrolled student).
  • Must have attained a Master's Degree within the last 2 years.
  • Must be pursuing a PhD (enrolled student).

Required Majors

Statistics, Biostatistics, Computer Science, Data Science, Mathematics, Computational Biology, Biotechnology, Psychometrics or related fields.

Required Skills

Data Science, Statistical Modeling, R Programming, Data Analysis Experience.

Preferred Knowledge, Skills, and Qualifications

  • Fundamental training in statistical and data science methods; familiarity with clinical trial statistical knowledge is a plus
  • Strong programming skills, particularly in R; experience with software development workflow, including versioning and code collaboration with Git
  • Excellent communicator and team player; comfortable explaining complex technical topics to non-technical audiences
  • Experienced problem solver capable of seeking help when needed
  • Passion for learning and curious about drug development in the pharmaceutical biotechnology industry
  • Hands-on experience in evaluating, developing, and deploying AI agents and agentic workflows (e.g., leveraging LLMs and automated data processing tools) to enhance and streamline analytical and software pipelines.

Relocation benefits are not available for this job posting.

The expected salary range for this position based on the primary location of  California is $34.00-$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.

#PDD-SSF

2027 Summer Intern - Biostatistics and Analytical Data Sciences

Department Summary

Product Development Data Sciences at Genentech is a group of over 1000 data scientists across multiple 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.

The Opportunity

Multiple opportunities available, with research interests in the following areas:

  • Statistical research: Solve statistical problems directly relevant to ongoing clinical drug development in diverse therapeutic areas such as oncology, immunology, ophthalmology, neuroscience, cardiovascular, renal, and metabolism. Specific topics may include but are not limited to research problems from early to late-stage clinical trials and post-marketing evaluations.
  • Data analytics: Analyze real-world clinical data to derive data-driven clinical impact and business insights.
  • Data engineering: Exploring efficiencies in data flow from raw to analysis-ready data sets.
  • Programming: Developing or refactoring code to create reusable R packages for data processing or visualization; developing innovative automation solutions for data handling and analytics processes.

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.
  • Professional & personal development curriculum throughout the program, including networking opportunities, workshops, and panel discussions.
  • Work with some of the most talented people in the pharmaceutical industry.
  • Final presentations of project work to senior leadership.
  • Participate in volunteer projects, social events, and team-building activities.

Who You Are

Required Education

  • Bachelor’s degree (required).

Must also meet at least one of the following

  • Must be pursuing a Master's Degree (enrolled student).
  • Must have attained a Master's Degree within the last 2 years.
  • Must be pursuing a PhD (enrolled student).

Required Majors

Statistics, Biostatistics, Computer Science, Data Science, Mathematics, Computational Biology, Biotechnology, Psychometrics or related fields.

Required Skills

Data Science, Statistical Modeling, R Programming, Data Analysis Experience.

Preferred Knowledge, Skills, and Qualifications

  • Fundamental training in statistical and data science methods; familiarity with clinical trial statistical knowledge is a plus
  • Strong programming skills, particularly in R; experience with software development workflow, including versioning and code collaboration with Git
  • Excellent communicator and team player; comfortable explaining complex technical topics to non-technical audiences
  • Experienced problem solver capable of seeking help when needed
  • Passion for learning and curious about drug development in the pharmaceutical biotechnology industry
  • Hands-on experience in evaluating, developing, and deploying AI agents and agentic workflows (e.g., leveraging LLMs and automated data processing tools) to enhance and streamline analytical and software pipelines.

Relocation benefits are not available for this job posting.

The expected salary range for this position based on the primary location of  California is $34.00-$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.

#PDD-SSF

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 internship located, and what is the work mode?
The position is located in South San Francisco and is an on-site role.
What qualifications are required to apply?
Applicants must hold a Bachelor’s degree in Statistics, Biostatistics, Computer Science, Data Science, Mathematics, or a related field. You must also be currently pursuing a Master's or PhD, or have obtained a Master's degree within the last two years. Required skills include Data Science, Statistical Modeling, R Programming, and Data Analysis.
What are the key responsibilities for this role?
Interns work on 12-week projects across research areas including statistical research for clinical trials, analyzing real-world clinical data, exploring data engineering efficiencies, and developing reusable R packages or automation solutions. You will also participate in professional development activities and present your final project work to senior leadership.
What is the compensation for this internship?
The expected pay range for this position in California is $34.00 to $52.00 per hour, depending on experience, qualifications, location, and other legal factors. A location-based stipend is also provided to help offset costs.
Does this position offer relocation support?
No, relocation benefits are not available for this job posting.
What benefits are offered for this position?
This position qualifies for paid holiday time off benefits, a location-based stipend, and participation in professional development workshops, panel discussions, and social events.

Ready to Apply?

Apply by November 19, 2026
5 days left · deadline set by Genentech
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Research the company before you apply.

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

Job Information

Source: manual
AI Relevance: 90/100 (Highly relevant)
Remote Type: onsite
Skills & Tags:
genentech computational biology data engineering data science biostatistics immunology oncology clinical LLM

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