Location: Tampa, FL
Cap-Exempt H-1B Position — No lottery required
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 presentat