Computational Postdoc: Multimodal Pathology AI

University of Texas MD Anderson Cancer Center; Houston (TX); On-site; USD 64,000 - 76,000; Full time

Benefits offered by this job

Medical benefits

Retirement plans

Educational opportunities

Paid time off

Job summary

A prestigious cancer research institution in Houston is seeking computational postdoctoral fellows to advance AI tools in pathology. The position offers close mentorship and aims to develop solutions for significant healthcare challenges. Ideal candidates will have a strong background in computer science, statistics, and bioinformatics, along with a track record of publications. The role includes direct access to extensive clinical data and collaboration opportunities within the vibrant Texas Medical Center environment, along with a salary range of $64,000 to $76,000.

Qualifications

• Strong computational skills with AI and image analytics.
• Proven publication background in journals or ML conferences.
• Strong communication, writing, and collaboration abilities.

Responsibilities

• Develop and apply AI frameworks in computational pathology.
• Mentor junior trainees and publish high-impact articles.
• Collaborate in clinical settings for research goals.

Skills

Proficient in Python

PyTorch

Experience with AI models

Handling tissue image data

Experience with open-source codebases

Job description

A prestigious cancer research institution in Houston is seeking computational postdoctoral fellows to advance AI tools in pathology. The position offers close mentorship and aims to develop solutions for significant healthcare challenges. Ideal candidates will have a strong background in computer science, statistics, and bioinformatics, along with a track record of publications. The role includes direct access to extensive clinical data and collaboration opportunities within the vibrant Texas Medical Center environment, along with a salary range of $64,000 to $76,000.