The Applied Post Doc Fellow will conduct innovative, translational cancer research in the Schabath Lab, an epidemiology lab that conducts AI-based research to develop and validate image-based biomarkers across the cancer care continuum. The fellow will work in a highly productive, collaborative team and have access to large, diverse datasets containing structured and unstructured data. Fellows are encouraged to develop independent research projects, with expert faculty mentorship and support for publishing research and applying for grants. Moffitt integrates patient care with population, clinical, and basic science research, and its on-site cancer hospital provides opportunities for translational research. The fellow will design and conduct studies using artificial intelligence, biostatistical, and bioinformatic methods to train, validate, and test clinically relevant models. The role also includes developing scientific writing and presentation skills, preparing research abstracts, reports, and publications, and presenting findings to Moffitt’s scientific community and at national or international meetings. The position requires a PhD or MD in computer sciences, bioengineering, bioinformatics, biostatistics, or a related computational discipline, along with excellent programming and written communication skills.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree