2026 Summer Intern - Drug Metabolism and Pharmacokinetics – Metabolomics

<h3>The Position</h3><p><u><span><b><span>2026 Summer Intern - Drug Metabolism and Pharmacokinetics – Metabolomics</span></b></span></u></p><p><span> </span></p><p><span><b><span>Department Summary</span></b></span></p><p></p><p><span><span>The Drug Metabolism and Pharmacokinetics (DMPK) Department at Genentech Research and Early Development (gRED) has a vision to advance the development of safe and efficacious life-changing therapeutics for patients as an integral partner. The Metabolomics and Lipidomics Group under Bioanalysis Function supports research biology, drug discovery and development across Genentech by generating high-quality metabolomics and lipidomics data through the use of state-of-the-art technologies and high-throughput workflows and deciphering biochemical insights for target assessment and biomarker discovery.</span></span></p><p><span> </span></p><p><span><span>This internship position is located in</span><b><span> </span></b><b><span>South San Francisco CA, on-site.</span></b></span></p><p><b><span> </span></b></p><p><span><b><span>The Opportunity</span></b></span></p><p></p><p><span><span>The candidate will support the development and evaluation of quantitative assays for global metabolomics by using various liquid chromatography-mass spectrometry (LC-MS) instruments and data processing tools. This position provides an opportunity to significantly advance cutting-edge metabolomics workflows and impact on enhancing reproducibility and standardization of metabolomics assay for research and drug discovery projects. </span></span></p><p></p><p><b><span><span>Key Responsibilities: </span></span></b></p><ul><li><p><span><span>Implement and assess different analytical strategies to build a quantitative metabolomics assay for common biological matrices.</span></span></p></li><li><p><span><span>Establish and apply QC metrics to evaluate accuracy, precision, sensitivity, reproducibility, and robustness of the assay.</span></span></p></li><li><p><span><span>Standardize and automate data analysis workflow to streamline quality check and expand throughout while maintaining high quality.</span></span></p></li><li><p><span><span>Incorporating the quantitative workflow into project support for in-house studies.</span></span></p></li></ul><p><b><span> </span></b></p><p><span><b><span>Program Highlights</span></b></span></p><ul><li><p><b><span><span>Intensive 12-weeks, full-time (40 hours per week) paid internship.</span></span></b></p></li><li><p><b><span><span>Program start dates are in May/June, 2026.</span></span></b></p></li><li><p><b><span><span>A stipend, based on location, will be provided to help alleviate costs associated with the internship.</span></span></b></p></li><li><p><span><span>Ownership of challenging and impactful business-critical projects.</span></span></p></li><li><p><span><span>Work with some of the most talented people in the biotechnology industry.</span></span></p></li><li><p><span><span>Professional & personal development curriculum throughout the program, including networking opportunities, workshops, and panel discussions.</span></span></p></li></ul><p><b><span> </span></b></p><p><span><b><span>Who You Are </span></b></span><b><b>(Required)</b></b></p><p><b><span> </span></b></p><p><span><b><span>Required Education</span></b></span></p><p></p><p><b><span><span>You meet one of the following criteria:</span></span></b></p><ul><li><p><span><span>Must be pursuing a Master's Degree (enrolled student).</span></span></p></li><li><p><span><span>Must be pursuing a PhD (enrolled student).</span></span></p></li></ul><p></p><p><span><span><b>Required Majors: </b>Chemistry (Analytical Chemistry), Biochemistry, Pharmaceutical Science, Biomedical Sciences, Biomedical Engineering, or related fields. </span></span></p><p></p><p><span><b><span>Required Skills:</span></b></span></p><ul><li><p><span><span>Hands-on experience with sample preparation techniques and LC-MS with a focus on metabolomics, lipidomics, or small-molecule bioanalysis.</span></span></p></li><li><p><span><span>Proficiency in processing metabolomics MS raw data and quantitative analysis.</span></span></p></li><li><p><span><span>Experience in R or Python for data analysis and visualization.</span></span></p></li><li><p><span><span>Team collaboration and the ability to work independently.</span></span></p></li></ul><p><b><span> </span></b></p><p><span><b><span>Preferred Knowledge, Skills, and Qualifications</span></b></span></p><ul><li><p><span><span>Prior experience with studying cellular and/or organismal metabolism is a plus.</span></span></p></li><li><p><span><span>Excellent communication, collaboration, and interpersonal skills.</span></span></p></li><li><p><span><span>Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.</span></span></p></li></ul><p></p><p><b><b>Relocation benefits are not available for this job posting. </b></b></p><p></p><p><span>The expected salary range for this position based on the primary location of California is $40.00-$46.00 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.</span></p><p style="text-align:inherit"></p><p style="text-align:left"><span>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.</span></p><p style="text-align:inherit"></p><p style="text-align:left"><span>If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form <a target="_blank" href="https://docs.google.com/forms/d/e/1FAIpQLSdZWlsbfQOvFVIQgHE_iDzWUTlhZvj6FytIzjS7xq6IGh1H5g/viewform">Accommodations for Applicants</a>.</span></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p>