Postdoctoral Fellow, Ai Driven Precision Oncology

The University of Texas at Austin

Austin, Texas, United States
Base: $62,232 + depending on nih level; bonus/equi...
Python and r proficiency
Machine learning and nlp experience
Explainable ai development
The position focuses on developing advanced AI-enabled methods for clinical decision support in precision oncology at the intersection of computational innovation and patient-centered care

Job Summary

  • The position focuses on developing advanced AI-enabled methods for clinical decision support in precision oncology at the intersection of computational innovation and patient-centered care.
  • The fellow will design algorithms for treatment matching, develop knowledge graphs, and construct multimodal embeddings for cancer patient digital twins.
  • This grant-funded role offers opportunities to lead publications, collaborate with clinicians across UT Austin, and contribute to NCI and NIH-funded projects.

Matching Summary

The position focuses on developing advanced AI-enabled methods for clinical decision support in precision oncology at the intersection of computational innovation and patient-centered care.

Salary

Base: $62,232+ depending on NIH level; Bonus/Equity: Not specified; Benefits: TRS retirement plan eligibility

Skills & Requirements

Must-have

  • Python and R proficiency
  • Machine learning and NLP experience
  • Explainable AI development
  • Data integration skills
  • High-impact publication record

Nice-to-have

  • Cancer biology knowledge
  • Clinical oncology workflow understanding
  • Multi-omics data expertise
  • Translational research experience
  • Mentoring graduate students

Key Requirements

  • PhD in computational biology or related field within last 3 years
  • 1 year experience with ML, NLP, or explainable AI
  • Must be authorized to work in US without sponsorship

Work Rights

Must have US work authorization without sponsorship

Tailored Resume

Cover Letter