2026 Summer Intern - Discovery Chemistry - Analytical Research
About The Position
The Analytical Research group is part of the Discovery Chemistry department in the Drug Discovery organization. Our team focuses on developing structure elucidation, high-throughput purification, and physicochemical screening techniques to support the discovery and development of novel molecules. Our mission is to deliver high-quality analytical data that guide molecular design, process development, and quality control. We apply state-of-the-art techniques—including chromatography, mass spectrometry, and NMR spectroscopy—to elucidate chemical structures, reaction mechanisms, and stability profiles. We are passionate about scientific rigor, innovation, and cross-functional collaboration to bring transformative medicines to patients. This internship position is located in South San Francisco, on-site. Contribute to the development of real-time analytical strategies for macrocyclic peptides. The project focuses on applying machine learning to analytical chromatography to help enable preparative separation. Develop and optimize analytical methods (HPLC, LC-MS, UV-Vis) for peptides. Develop a machine learning model to predict optimal separation conditions. Summarize and present experimental findings to multidisciplinary teams. This internship offers hands-on experience with advanced analytical instrumentation and exposure to a cross-functional research environment focused on next-generation therapeutic modalities.
Requirements
- Must be pursuing a Bachelor's Degree (enrolled student).
- Majors: Chemistry, Biochemistry, Pharmaceutical Chemistry, or a related field.
- Foundational knowledge and experience of organic chemistry.
- Basic understanding and hands-on experience in chromatography (HPLC/LC-MS) and spectroscopy (UV-Vis).
- Mass Spectrometry.
- Proficiency in Python.
- Strong experimental and data interpretation skills.
- Enthusiasm for problem solving and innovation in analytical chemistry.
Nice To Haves
- Experience with deep learning frameworks (e.g. PyTorch).
- Experience operating or interpreting data from HPLC or LC-MS.
- Prior laboratory experience.
- Proficiency with literature search.
- Excellent communication, collaboration, and interpersonal skills.
- Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
Responsibilities
- Contribute to the development of real-time analytical strategies for macrocyclic peptides.
- Develop and optimize analytical methods (HPLC, LC-MS, UV-Vis) for peptides.
- Develop a machine learning model to predict optimal separation conditions.
- Summarize and present experimental findings to multidisciplinary teams.
Benefits
- Intensive 12-weeks, full-time (40 hours per week) paid internship.
- Program start dates are in May/June 2026.
- 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.
- paid holiday time off benefits
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Number of Employees
5,001-10,000 employees
