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Applied Postdoctoral Fellow – Cancer Epidemiology
Job in
Tampa, Hillsborough County, Florida, 33646, USA
Listed on 2026-07-18
Listing for:
SPEROS
Full Time
position Listed on 2026-07-18
Job specializations:
-
Research/Development
Clinical Research, Research Scientist, Data Scientist -
Healthcare
Clinical Research, Data Scientist
Job Description & How to Apply Below
Onsite locations:
Moffitt Research Center time type:
Full time posted on:
Posted 5 Days Agojob requisition :
R-1613### 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.
** Summary
* * The
** Schabath Lab
** is one of the first epidemiology labs to conduct AI-based research to develop and validate image-based biomarkers in the cancer care continuum.
** Position Highlights**:
* Conduct innovative and translational cancer research in a highly productive and collaborative team setting.
* Fellows will have access to large and diverse existing datasets that include structured and unstructured data;
You will be encouraged to develop your own independent research projects.
* Outstanding mentorship from expert faculty with wide-ranging funded research.
* Moffitt integrates excellent patient care with cutting-edge population, clinical, and basic science research. Having a cancer hospital on-site provides unique opportunities for translational research.
* You will be encouraged and supported to publish your research and apply for grants.
** The Ideal Candidate:
*** Strong written and oral communication skills and the ability to work independently and with collaborators.
* Strong quantitative skills in the areas of machine learning and deep learning
* Strong programming skills (e.g., Matlab, C/C++, Python, R, etc.,) for modeling and data analysis.
* Knowledge in population sciences/cancer epidemiology is desired, but not required.
** Responsibilities:
*** Design and conduct studies to train, validate, and test clinically relevant models using Artificial intelligence (AI), biostatistical, and bioinformatic methods.
* Develop scientific writing and presentation skills; write research abstracts, reports, and scientific publications.
* Present research results to the Moffitt scientific community and at national or international scientific meetings.
** Credentials and
Qualifications:
*** PhD or MD in computer sciences, bioengineering, bioinformatics, biostatistics, or a related computational discipline is required.
* Excellent programming skills and written communication skills.
Moffitt Postdocs enjoy comprehensive medical coverage, with Moffitt covering the premium effective your very first day. In addition to this valuable benefit, you’ll also be eligible for dental and vision insurance, generous paid time off, retirement, parental leave, and much more. Furthermore, you may qualify for relocation assistance as per our policy, ensuring a seamless transition to your exciting new role.
Moffitt Cancer Center proudly stands as a Comprehensive Cancer Center designated by the National Cancer Institute (NCI) in the vibrant city of Tampa, Florida. This dynamic city is an exceptional choice for those seeking exciting opportunities in a rapidly growing metropolitan area. With its flourishing economy and rich cultural diversity, the Tampa Bay region masterfully combines urban elegance with breathtaking natural beauty.
Discover why countless individuals have chosen to make Tampa their home and experience firsthand what makes it one of the fastest-growing metropolitan cities in the United States.
** Salary Range**$69,804.80 - $97,726.72
* 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.
* #J-18808-Ljbffr
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