Postdoc: AI-Driven Cancer Bioinformatics & Systems Biology

UT MD Anderson; Houston (TX); On-site; USD 64,000 - 76,000; Full time

Benefits offered by this job

Health benefits (typical)

Job summary

UT MD Anderson Cancer Center in Houston invites applications for a Postdoctoral Fellow in Computational Biology, AI/ML, and Cancer Systems Biology. You will develop AI/ML‑driven approaches for precision oncology and work with large‑scale translational and clinical datasets.

Join a collaborative group with access to rich multi‑omics, spatial imaging, and single‑cell data, and opportunities to publish high‑impact work while collaborating with clinicians, experimentalists, and other computational

Qualifications

• PhD in quantitative or biomedical field (bioinformatics, computational biology, biophysics, genomics, computer science, statistics or related).
• Strong quantitative, computational, and programming skills.
• Experience with machine learning and high‑dimensional biological data.
• Knowledge of cancer biology or drug‑response mechanisms desirable.

Responsibilities

• Develop AI/ML‑driven approaches for precision oncology using multi‑omics and clinical data.
• Lead projects and collaborate across computational, translational, and clinical teams.
• Publish high‑impact results and contribute to translational and collaborative efforts.

Skills

Quantitative skills

Computational

Programming

Machine learning

Statistical modeling

Education

PhD in quantitative/biomedical field

Job description

UT MD Anderson Cancer Center in Houston invites applications for a Postdoctoral Fellow in Computational Biology, AI/ML, and Cancer Systems Biology. You will develop AI/ML‑driven approaches for precision oncology and work with large‑scale translational and clinical datasets.

Join a collaborative group with access to rich multi‑omics, spatial imaging, and single‑cell data, and opportunities to publish high‑impact work while collaborating with clinicians, experimentalists, and other computational