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  • Summer Intern - CMG DDA - Data Science

    Genentech (South San Francisco, CA)



    Apply Now

    The Position

    2026 Summer Intern - CMG DDA - Data Science

    Department Summary

    The Genentech Graduate Internship Program is an intensive 10-12 week opportunity that provides work within a fast-paced and challenging environment. Interns contribute to meaningful projects, interacting and working side by side with biotech industry experts. Our internship program also provides a robust speaker series, which allows interns to hear from top executives throughout the summer. Genentech relies heavily on our internship talent pool to fill full-time positions.

     
     

    This internship position is located in South San Francisco, CA, On-site.

    The Opportunity

    + Brand-Level Knowledge Graph Development: This project will connect directly with Genentech’s commercial operations and focuses on experimenting, at a brand-level pilot scale, with advanced AI technologies to enhance Genentech’s foundational capability of knowledge creation, integration, refreshing, and consumption.

    + High-Fidelity Medical Content Synthesis & Retrieval: This project will focus on pushing the limit of RAG for professional-level applications of LLM and other relevant Generative AI technologies in the healthcare domain.

    + Time-Series-Based Forecasting: This project will leverage latest AI technologies to build scalable pipelines for forecasting with the capabilities of scenario simulation and planning.

    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 meaningful business-critical projects

    + Drive impact by working in a diverse global, cross-functional setting

    + Work with some of the most talented people in the biotechnology industry

    Who You Are

    + Must be current enrolled in an accredited graduate program or a recent graduate of a graduate program with 2 years of work experience prior to graduate school (Graduate programs include MBA, PhD, JD, MD, MPH, MS, and Master's in Data Science)

    Required majors

    + MBA, Masters in Data Science, Masters in Science

    Preferred Knowledge, Skills, and Qualifications

    + Work experience before graduate school in consulting, finance, marketing, sales, life sciences, healthcare, consumer business, or drug development

    + Strong quantitative and analytical skills

    + Demonstrated ability and experience in effectively interacting with executives and senior leaders

    + Demonstrated leadership skills and experience

    + Excellent communication skills

     

    Relocation benefits are not available for this job posting.

     

    The expected salary range for this position based on the primary location for this position of California is $21.00 - $55.00 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.

     

    \#SummerAssociates2026

     

    Are you ready to apply?

     

    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 (https://docs.google.com/forms/d/e/1FAIpQLSdZWlsbfQOvFVIQgHE\_iDzWUTlhZvj6FytIzjS7xq6IGh1H5g/viewform) .

     


    Apply Now



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    Genentech (South San Francisco, CA)
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