Clinical Pharmacology and Pharmacometrics AI/ML Fellowship
This one-year fellowship program in Clinical Pharmacology and Pharmacometrics provides advanced training in a discipline that plays a critical role in accelerating drug development through model-informed strategies and quantitative decision-making.
This fellowship has a January 2027 (flexible) start date with remote and on-site options available.
Program Structure
Fellows gain foundational QSP/AI and pharmacometric knowledge and practical experience through structured training, mentorship, and cross-functional collaboration, including the following activities:
- Implement a mathematical model incorporating relevant preclinical data to make predictions to facilitate clinical study design.
- Apply AI/Machine Learning or Large Language Model to work with large clinical datasets, and to participate in developing a predictive model.
- Model development, verification and validation: develop semi-mechanistic models to support drug development; apply AI/large Language Model to support the analysis and reporting in accelerated drug development.
- Use software tools for the development of QSP, PBPK, disease model, or PK/PD models using MATLAB, Python or R programming languages.
- Collaborate closely with pharmacologists, biologists, clinical pharmacologists, modelers, and other stakeholders to understand biological mechanisms and translate scientific hypotheses into quantitative frameworks.
- Literature review and data management: Review and capture literature source for used in the modeling.
- Apply analytical and critical thinking skills to address complex scientific and technical challenges.
- Break down large, ambiguous problems into structured, actionable workstreams with clear deliverables.
Fellowship Program Leadership and Steering Committee
Fellowship Program Leadership
William Hanley, Ph.D.
Vice President, Clinical Pharmacology & Pharmacometrics
Fellowship Program Steering Committee
Ying Ou, Ph.D.
Executive Director, Clinical Pharmacology & Pharmacometrics
Gabby Patilea-Vrana, Ph.D.
Associate Director, Clinical Pharmacology & Pharmacometrics
Yen Lin Chia, Ph.D.
Senior Director, Clinical Pharmacology & Pharmacometrics
Colby Shemesh, Ph.D.
Director, Clinical Pharmacology & Pharmacometrics
Current Fellow
Sahand Pirbadian, Ph.D,
2026-2027 Clinical Pharmacology QSP and AI/ML Fellow
Eligibility/ Qualification Criteria
This fellowship is open to those with a PharmD, M.S., or Ph.D. in Pharmaceutical Sciences, Systems Biology, Biomedical Engineering, Applied Mathematics, Computational Biology, AI engineers or a related quantitative discipline who is eager to apply advanced analytics and math modeling to drive innovation in drug development.
Candidates must be legally authorized to work in the United States at the time of hire. BeOne does not provide immigration sponsorship (e.g., H-1B petitions, OPT STEM Extension Support, or green card sponsorship) for fellowship positions. Fellowship positions are administered through BeOne’s designated employment-of-record partner. All candidates must satisfy applicable employment eligibility verification (Form I-9) requirements.
How to Apply
Apply between September 14th and November 16th, 2026. Upload both application materials below in PDF under the “CV/Resume” section of the application.
- Curriculum Vitae (CV)
- Unofficial college transcript
If selected for an interview, the following advanced application materials will be requested by email:
- Writing sample (no more than 2 pages; e.g., poster or journal abstract, etc.)
- Three letters of recommendation sent directly from recommenders to
clinicalpharmacologyfellowship@beonemed.com. - Please address letters of recommendation and letters of intent to:
Ying Ou, Ph.D.
Executive Director, Clinical Pharmacology and Pharmacometrics
Candidates selected for the final round of interviews will be asked to submit a computer modeling exercise (e.g, in MATLAB or Julia) which will be provided in advance.
Timelines
- Applications will open on September 14, 2026
- Applications will close on November 16, 2026
- Submission must be completed prior to the application deadline.
Contact Information
For any questions, please contact clinicalpharmacologyfellowship@beonemed.com.