Postdoctoral Fellow, AI Driven Precision Oncology
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About this role
General Notes
This is a grant funded position with an end date 1 year from the start date. The position is renewable based upon availability of funding, work performance, and progress toward goals with the option to continue until August 31, 2029, if renewed. Note: This candidate must be authorized to work in the United Stated without sponsorship.
Purpose
The Kowalski Lab at the University of Texas at Austin invites applications for a Postdoctoral Fellow position focused on developing advanced, AI-enabled methods for clinical decision support in precision oncology. The fellow will work at the intersection of computational innovation, translational science, and patient-centered care, contributing to pioneering efforts in integrating multi-modal data for individualized cancer therapy selection.
The lab leads multi-institutional projects combining clinical, molecular, proteomic, and other published data to build explainable and scalable decision-support systems. These systems are designed to bridge gaps in personalized treatment for patients with rare, resistant, or genomically un-targetable cancers.
Responsibilities
- Design and evaluate algorithms for treatment and response matching using integrated clinical and molecular datasets.
- Develop knowledge graphs and multimodal embeddings for cancer patient digital twin construction.
- Lead and co-author high-impact publications and grant proposals.
- Collaborate with clinicians, bioinformaticians, and data scientists across UT Austin, and other partners.
- Mentor graduate and undergraduate research assistants and contribute to lab leadership.
Learning Opportunities
- Develop and deploy innovative AI models for treatment discovery and patient-specific decision support.
- Gain experience in translational research across clinical, academic, and technology domains.
- Participate in lab initiatives aligned with NCI, CPRIT, and NIH-funded projects.
Working Conditions
- Standard office equipment
- Repetitive use of a keyboard
Required Materials
- Resume/CV
- 3 work references with their contact information; at least one reference should be from a supervisor
- Letter of interest