AI-Driven Cancer Genomics Postdoc: Biomarker Discovery

CO2000 H. Lee Moffitt Cancer Center and Research Institute, Inc.; United States; On-site; USD 60,000 - 75,000; Full time

Job summary

The Intelligent Cancer Omics and Immuno-Oncology (ICON) Lab at the H. Lee Moffitt Cancer Center is recruiting a Postdoctoral Fellow. This role focuses on applying artificial intelligence and advanced bioinformatics to cancer genomics and biomarker discovery.

Ideal candidates hold a PhD in a quantitative field, have strong Python and R skills, and are eager to learn multi-omics methods. The position offers interdisciplinary training with access to high-performance computing and collaborative

Qualifications

• PhD in Bioinformatics, Computer Science, Computational Biology, Statistics/Biostatistics, Data Science, or related quantitative fields.

Responsibilities

• Discover and validate new predictive biomarkers using large-scale cancer omics datasets, including single-cell and spatial omics data.
• Develop and extend computational, statistical and machine learning methods to advance cancer clinical and translational research.
• Design and implement novel visualizing tools to facilitate interpretation of complex omics results.
• Collaborate with clinicians and scientists across Moffitt clinical and research programs.

Skills

Python

R

AI/ML

Bioinformatics

Genomics

Education

PhD in Bioinformatics

Job description

The Intelligent Cancer Omics and Immuno-Oncology (ICON) Lab at the H. Lee Moffitt Cancer Center is recruiting a Postdoctoral Fellow. This role focuses on applying artificial intelligence and advanced bioinformatics to cancer genomics and biomarker discovery.

Ideal candidates hold a PhD in a quantitative field, have strong Python and R skills, and are eager to learn multi-omics methods. The position offers interdisciplinary training with access to high-performance computing and collaborative