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Moffitt Cancer Center in Tampa, FL seeks a Postdoctoral Fellow to turn complex biomedical data into discoveries. You will join an interdisciplinary team of machine learning scientists, bioinformaticians, pathologists, and oncologists to develop AI methods on large tissue slides and spatial omics data.
You will translate research into clinical practice, work on translational projects, and contribute to publications while benefiting from strong mentorship and internal funding opportunities.
Working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer. As the only National Cancer Institute-designated Comprehensive Cancer Center based in Florida, Moffitt employs some of the best and brightest minds from around the world. Join a dedicated team of nearly 11,000 who are shaping the future we envision. Moffitt has been recognized as a Best and Brightest Company to Work For in the Nation and is continually named one of the Tampa Bay Times’ Top Workplaces.
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.
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.
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.
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.
1. Equal Employment Opportunity Moffitt Cancer Center is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or protected veteran or disabled status. We seek candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence.
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Salary ranges posted for this position represent the expected base pay range for the role. Actual compensation may vary based on location and a variety of job-related factors, including experience, skills, education, and internal equity among Team Members in similar positions. We are committed to maintaining fair and equitable pay practices and regularly review compensation to ensure alignment across our workforce.