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Postdoctoral Fellow – Computational Pathology

About the Opportunity

Turn complex biomedical data into discoveries that can shape the future of cancer care. As a postdoctoral fellow in Moffitt's Department of Translational Pathology, under the mentorship of Dr. Marina Ayad, you will join an interdisciplinary team of machine learning scientists, bioinformaticians, pathologists, and oncologists to develop innovative AI methods using large cohorts of scanned tissue slides and spatial omics data.

You will work in a highly collaborative environment that connects clinicians caring for patients with researchers developing new and better treatments. With pathologists, biologists, and computational scientists working side by side—and digital pathology being implemented across Moffitt's clinical operations—you will have the opportunity to help translate advanced AI tools from research into clinical practice.

Position Highlights
  • Join an interdisciplinary environment that brings together computational science, pathology, oncology, and bioinformatics.
  • Work with an institutional repository linking digital pathology images with diagnostic and clinical data.
  • Use a dedicated computing cluster and a platform for image viewing, annotation, and data management.
  • Contribute to translational research supported by Moffitt's on-site cancer hospital and integrated research environment.
Postdoctoral Training and Career Development

In addition to world-class training and mentorship, postdoctoral fellows at Moffitt have access to internal funding and career development programs, including research awards, pilot funding opportunities, and the competitive Research Instructor program, which supports the transition to research independence through protected time, mentorship, and faculty development resources. To learn more about Postdoc Training and Support, click here.

The Ideal Candidate

The ideal candidate brings strong computational expertise in computer vision, deep learning, and medical imaging analysis, along with advanced Python and R skills and experience working in Linux-based environments and using Git version control. They work effectively across disciplines, communicate research findings through publications and presentations, and are motivated to develop rigorous, reusable research software that advances collaborative cancer research.

Preferred: Experience in computational biology and bioinformatics, large language models, software optimization, and large-scale datasets.

Responsibilities
  • Develop computational pathology algorithms that integrate histology images, pathology reports, and spatial omics data.
  • Maintain project software repositories.
  • Collaborate with investigators, postdoctoral fellows, and graduate students to achieve project goals and develop manuscripts for publication.
  • Present results at conferences and symposia through posters or talks.
Credentials and Qualifications
  • PhD in computer science, computer engineering, electrical engineering, or biomedical engineering. MD/PhD candidates with strong computational backgrounds are welcome.
Benefits and Relocation Support

Moffitt Postdocs enjoy comprehensive medical coverage, with Moffitt covering the premium effective your very first day. You'll also be eligible for dental and vision insurance, generous paid time off, retirement, parental leave, and much more. You may qualify for relocation assistance under Moffitt policy, supporting a seamless transition to your new role.

Life in Tampa Bay

Moffitt Cancer Center proudly stands as a Comprehensive Cancer Center designated by the National Cancer Institute (NCI) in the vibrant city of Tampa, Florida. The Tampa Bay region combines a growing metropolitan community, cultural diversity, and natural beauty. Learn more about living and working in Tampa Bay.

How to Apply

Interested applicants should submit a single PDF that includes a cover letter summarizing research training and accomplishments, a personal statement of scientific interests and goals, a current CV with recent publications.