Postdoctoral Fellow, Ai Driven Precision Oncology

University of Texas at Austin

Austin, Texas, USA
$62,232; bonus/equity: not specified; benefits: no...
Ai tools and frameworks
Machine learning experience
Data integration skills
The Kowalski Lab is focused on developing AI-enabled methods for clinical decision support in precision oncology

Job Summary

  • The Kowalski Lab is focused on developing AI-enabled methods for clinical decision support in precision oncology.
  • The fellow will contribute to pioneering efforts in integrating multi-modal data for individualized cancer therapy selection.
  • This position offers opportunities to develop innovative AI models and gain experience in translational research.

Matching Summary

The Kowalski Lab is focused on developing AI-enabled methods for clinical decision support in precision oncology.

Salary

$62,232; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • AI tools and frameworks
  • machine learning experience
  • data integration skills

Nice-to-have

  • knowledge of cancer biology
  • clinical oncology workflows
  • multi-omics data familiarity

Key Requirements

  • PhD in computational biology or related field
  • 1 year of experience with AI tools
  • proficiency in Python and R

Work Rights

Must be authorized to work in the United States

Tailored Resume

Cover Letter