Cancer AI Epidemiology Postdoc: Translational Research

CO2000 H. Lee Moffitt Cancer Center and Research Institute, Inc.; United States; On-site; USD 70,000 - 98,000; Full time

Job summary

The Schabath Lab at CO2000 H. Lee Moffitt Cancer Center and Research Institute, Inc. invites applications for a postdoctoral researcher focused on AI-driven cancer epidemiology and image-based biomarker development.

You will design studies, train predictive models, and publish findings with mentorship from expert faculty. Ideal candidates hold a PhD or MD in a computational field, have strong programming skills (Python, R, MATLAB, C/C++), and can communicate results clearly to diverse audiences.

Qualifications

• PhD or MD in computer sciences, bioengineering, bioinformatics, biostatistics, or a related computational discipline.
• Excellent programming skills and written communication skills.
• Experience in cancer epidemiology is preferred.

Responsibilities

• Design and conduct studies to train, validate, and test clinically relevant models using 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.

Skills

Communication

Quantitative ML

Programming (Matlab/C/C++)

Python & R

Epidemiology knowledge

Education

PhD or MD in computational discipline

Tools

MATLAB

Python

R

C/C++

Job description

The Schabath Lab at CO2000 H. Lee Moffitt Cancer Center and Research Institute, Inc. invites applications for a postdoctoral researcher focused on AI-driven cancer epidemiology and image-based biomarker development.

You will design studies, train predictive models, and publish findings with mentorship from expert faculty. Ideal candidates hold a PhD or MD in a computational field, have strong programming skills (Python, R, MATLAB, C/C++), and can communicate results clearly to diverse audiences.