2026 Summer Intern - Clinical Pharmacology
About The Position
Clinical Pharmacology is a dynamic function that plays a critical role in supporting drug development teams and in optimizing the dosing regimen for patients. Utilizing our expertise in pharmacokinetics and pharmacodynamics, Clinical Pharmacologists contribute at every stage of development, applying quantitative pharmacology principles across a molecule's life-cycle for both small molecules, biologics, and novel treatment modalities. The Clinical Pharmacology department is instrumental in shaping future treatments and ensuring they are both safe and effective. This internship position is located in South San Francisco, on-site.
Requirements
- Must be pursuing a Master's Degree (enrolled student).
- Must have attained a Master's Degree.
- Must be pursuing a PhD (enrolled student).
- Required Majors: Quantitative disciplines (Statistics/Biostatistics, Computational Biology/Chemistry, Chemical/Biomedical engineering) or related field.
- Proficiency in R or Python for statistical modeling and data visualization.
- Causal interference analysis, G-computation, and Propensity score matching.
Nice To Haves
- Excellent communication, collaboration, and interpersonal skills.
- Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
Responsibilities
- Participate in Clinical Pharmacology research projects supporting drug development, including evaluation of exposure–response relationships for safety and/or efficacy endpoints, assessment of patient- and disease-related factors that may influence risk or cause confounding, and support of dose-selection or dose-optimization strategies. Activities may involve analysis of internal clinical data, review of relevant literature and regulatory documents, and synthesis of findings across studies.
- To address Clinical Pharmacology questions and better understand sources of variability and confounding in drug response, develop and apply quantitative modeling approaches, such as exposure-response analyses, statistical analysis, Quantitative Systems Pharmacology (QSP) modeling, or emerging Machine Learning (ML) methodologies.
- Formulate scientifically sound conclusions and communicate results through clear documentation, presentations, and discussions with cross-functional stakeholders.
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
