Fellow and

The Intelligent Cancer Omics and Immuno-Oncology (ICON) Lab, led by Dr. Xuefeng Wang, within the Department of Biostatistics and Bioinformatics at the H. Lee Moffitt Cancer Center—an NCI-designated Comprehensive Cancer Center and one of the nation’s top-ranked cancer research institutes—is recruiting a Postdoctoral Fellow.

Position Highlights:

The fellow will contribute to cutting-edge projects leveraging artificial intelligence and advanced bioinformatics to drive innovation in cancer genomics and biomarker discovery. This position offers interdisciplinary training in both computational and translational oncology, with resources and supervision provided jointly by the Department of Biostatistics & Bioinformatics, Department Blood and Marrow Transplant and Cellular Immunotherapy and Moffitt Immuno-Oncology Program. The position is available immediately and will remain open until filled.

The Ideal Candidate:

• Research background/experiences in artificial intelligence, bioinformatics, biostatistics/statistics, computational biology, or genomics.
• A highly motivated and independent researcher with a strong quantitative scientific background.
• Prior experience in cancer genomics in not required, but a strong willingness and ability to learn new fields is highly desirable.
• Committed to producing high-quality, high-impact research and contributing to publications and grant proposals.

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.

Credentials and Qualifications:

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

Preferred :

• Strong programming skills in languages such as Python and R.
• Research background in AI and machine learning.
• Experience of processing and integration of multi-omics data including single-cell RNA-seq, spatial omics, etc.
• Excellent communication and writing skills.

Interested applicants should send a single PDF file that includes a cover letter summarizing their research training and accomplishments, current CV with recent publications, and contact information of at least two references to View email address on jobs.institutedata.com. Informal inquiries are also welcome and may be directed to Drs. Wang (View email address on jobs.institutedata.com) or Locke (View email address on jobs.institutedata.com).