Applied Postdoctoral Fellow – Cancer Epidemiology

Found in: Talent US C2 - 2 weeks ago

Tampa, United States Moffitt Cancer Center Full time

At Moffitt Cancer Center, we strive to be the leader in understanding the complexity of cancer and applying these insights to contribute to the prevention and cure of cancer. Our diverse team of over 9,000 are dedicated to serving our patients and creating a workspace where every individual is recognized and appreciated. For this reason, Moffitt has been recognized on the 2023 Forbes list of America’s Best Large Employers and America’s Best Employers for Women, Computerworld magazine’s list of 100 Best Places to Work in Information Technology, DiversityInc Top Hospitals & Health Systems and continually named one of the Tampa Bay Time’s Top Workplace. Additionally, Moffitt is proud to have earned the prestigious Magnet® designation in recognition of its nursing excellence. Moffitt is a National Cancer Institute-designated Comprehensive Cancer Center based in Florida, and the leading cancer hospital in both Florida and the Southeast. We are a top 10 nationally ranked cancer center by Newsweek and have been nationally ranked by News & World Report since 1999.
Working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer. Join our committed team and help shape the future we envision.

Summary

Applied Postdoctoral Fellow – Cancer Epidemiology

The Schabath Lab is one 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 translation cancer research in a highly productive and collaborative team setting. Fellows will have access to large and diverse existing datasets that includes 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 (, 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 are provided with Medical Insurance (Moffitt covers premium for team members) effective upon start date and eligible for Dental, Vision, Paid Time Off, Retirement, Parental Leave and more. You may be eligible for relocation assistance per policy. Reasons to relocate, aside from the sunshine, beaches and year-round outdoor recreation associated with the Gulf Coast of Florida, Tampa is a thriving metropolitan city, which has become a hub for ground-breaking research, welcoming individuals from around the globe. This diverse city is engulfed with rich culture, year-round activities for all, beautiful beaches, amazing cuisine and so much more. We strive for work/life balance.

If you have the vision, passion, and dedication to contribute to our mission,

then we have a place for you.

How to Apply: Interested applicants should send a single PDF file that includes i) a cover letter summarizing their research training, accomplishments, and scientific interests and goals, ii) current CV with all publications, abstracts, and funding (if applicable), iii) and contact information for three professional references to Dr. Matthew Schabath () and apply online.

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