2026 Summer Intern - Clinical Pharmacology - Real-World Treatment Trajectory Modeling
About The Position
2026 Summer Intern - Clinical Pharmacology - Real-World Treatment Trajectory Modeling Department Summary 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. The Opportunity Data Engineering & Cohort Definition: Develop claims-based cohort definitions to extract dispensing patterns, dose levels, and patient characteristics (e.g., body weight, adverse events) from large-scale U.S. insurance claims and/or electronic health record datasets. Exploratory Data Analysis: Conduct longitudinal analysis to visualize dose trajectories, quantify medication attrition, and identify switching rates using R or Python. Advanced Trajectory Modeling: Implement Latent Class Analysis (LCA) and Group-Based Trajectory Modeling (GBTM) to identify distinct patient subgroups and treatment adherence patterns. Predictive Analytics: Explore the feasibility of machine learning approaches (e.g., NCDEs) to predict future treatment trajectories based on baseline patient characteristics. Scientific Communication: Synthesize technical findings into clinical insights and deliver a codebase and final report/presentation to the Clinical Pharmacology and Modeling & Simulation teams. Program Highlights Intensive 12-weeks, full-time (40 hours per week) paid internship. Program start date is 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.
Requirements
- Required Education: You meet one of the following criteria: Must be pursuing a Bachelor's Degree (enrolled student). Must have attained a Bachelor's Degree. 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: Data science, Biostatistics, Bioinformatics, Pharmacometrics, or related quantitative fields.
- Required Skills: Proficiency in R or Python programming for data manipulation and statistical analysis.
- Strong analytical thinking and the ability to translate complex technical findings into actionable clinical insights.
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.
- Experience working with Real-World Data (RWD) such as insurance claims or EHR-linked datasets.
- Familiarity with longitudinal modeling techniques (LCA, GBTM) or Machine Learning libraries (e.g., scikit-learn, PyTorch).
- Basic understanding of Pharmacometrics principles or Clinical Pharmacology.
- Experience with version control (Git) and creating reproducible research frameworks.
Responsibilities
- Develop claims-based cohort definitions to extract dispensing patterns, dose levels, and patient characteristics (e.g., body weight, adverse events) from large-scale U.S. insurance claims and/or electronic health record datasets.
- Conduct longitudinal analysis to visualize dose trajectories, quantify medication attrition, and identify switching rates using R or Python.
- Implement Latent Class Analysis (LCA) and Group-Based Trajectory Modeling (GBTM) to identify distinct patient subgroups and treatment adherence patterns.
- Explore the feasibility of machine learning approaches (e.g., NCDEs) to predict future treatment trajectories based on baseline patient characteristics.
- Synthesize technical findings into clinical insights and deliver a codebase and final report/presentation to the Clinical Pharmacology and Modeling & Simulation teams.
Benefits
- Intensive 12-weeks, full-time (40 hours per week) paid internship.
- Program start date is 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.
- This position also qualifies for paid holiday time off benefits.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Intern
Number of Employees
5,001-10,000 employees
