Major Responsibilities: 

20% - Develop novel theoretical models of biological processes driving therapy response, working closely with therapy developers, TMDC directors, and additional collaborators with relevant subject area expertise. 

20% - Convert theoretical models to mathematical models using appropriate modeling strategies. Parametrize models using experimental data, simulate models (using MatLab, C++, Python, or other suitable programming language) and perform sensitivity analyses.

20% - Utilize mathematical models to optimize and improve therapy development process (e.g. design dosing regimens, minimize toxicities, identify combination therapy and synergy opportunities). 

15% Analyze modeling results and present to TMDC Modeling Team including Directors, and Therapy Developer collaborators

15% - Develop and document process and results in internal reports and manuscripts submitted for publication in peer-reviewed archival scientific journals

5% - Meet with therapy developers and experimental collaborators on an as-needed basis to discuss relevant biological theory, review literature, and discuss model development and results.

5% - Develop and manage project schedules to ensure timely completion of project deliverables

Required Qualifications:

• Ph.D. in engineering, math, physical sciences, or related field, with life sciences knowledge 

• Math modeling experience including numerical solution approaches 

• Growth mindset / willing to learn new things 

• Strong publication record 

• Demonstrated potential for leading a research group and managing multiple projects 

Preferred Qualifications: 

• Clinical trials experience / knowledge PK/PD modeling 

• Knowledge of differential equation and agent-based modeling 

• Cellular and molecular biology expertise 

• Working knowledge of fundamental principles of physics and chemistry 

• Demonstrated interest and accomplishment in advancing diversity, equity, and inclusion 

• Working knowledge of statistics and machine learning including sensitivity analysis 

The preferred start date will be the summer of 2024. Applications will be reviewed starting December 1, 2023 and will continue until the position is filled. Applicants should submit an AMS cover sheet, complete curriculum vitae, a description of their research background and interest in this project. Letters of recommendation will be requested for short-listed candidates. Any offer of employment will be contingent on a successful background check. The University of Minnesota is an Equal Opportunity Educator and Employer.