Quantitative Systems Pharmacology Modeling Intern, PhD Students

We are looking for PhD level students majoring in Biomedical Engineering, Applied Mathematics, Chemical Engineering, or a related discipline for a 12-week internship role in Gaithersburg, MD from May 18th to August 7th.

Position Duties:

• Develop a quantitative systems pharmacology model for an oncology application.
• Curate literature to identify parameter values and test various modeling scenarios to inform decision-making.
• Maintain reproducible codebase with version control and transparently communicate modeling analyses.

Position Requirements:

• PhD level students majoring in Biomedical Engineering, Applied Mathematics, Chemical Engineering, or a related discipline.
• Candidates must have an expected graduation date after August 2026.
• Strong mathematical background and hands on experience of modeling with ODEs is required.
• Some coding experience is required, preferably in Python/Julia/MATLAB.
• Experience of mathematical modeling of biological systems is preferred.
• Knowledge of systems biology / QSP modeling, control theory is a plus.
• Ability to report onsite to Gaithersburg, MD 3 days per week. This role will not provide relocation assistance.
• US Work Authorization is required at time of application.
• This role will not be providing OPT support.
• Compensation range: $48 hourly.

Date Posted

15-Dec-2025

Closing Date

29-Jan-2026

Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.