Integrated Program in Cancer and Data Science (ICADS) T32

Integrated Program in Cancer and Data Science

The Integrated Program in Cancer and Data Science (ICADS) at Moffitt serves to train the next generation of leaders in Cancer and Data Science. Over thirty faculty members, who work together at the interface of cancer research and data science, serve as mentors and co-mentors. The program is cross-disciplinary, spanning every Division at Moffitt including: 1) basic science; 2) population science; 3) clinical science; 4) translational science; and 5) quantitative science. Postdoctoral trainees in the program are paired into training teams that design a mentored research project that addresses a critical issue in cancer utilizing data science approaches (e.g., biostatistics, statistical genomics, bioinformatics). In addition to research, the Program includes structured coursework, taken as appropriate, and is supplemented by participation in many career development activities

Data Science applicants must have a terminal (PhD) degree in Statistics, Biostatistics, Bioinformatics or related field and a strong interest in research. Cancer Biology applicants must have a terminal (PhD) degree in Cell/Molecular Biology, Chemistry, Genetics, Medicine or related field and relevant research experience.

Stipends and benefits are highly competitive. Applicants must be U.S. citizens or legal permanent residents. Individuals on temporary visas are not eligible. Applications will include a cover letter defining your interests in the program, a CV/resume and contact information or three references. Inquiries and applications should be sent to Dr. Douglas Cress and/or can be submitted directly to our Human Resource Department (position #16590) using the link below.

Data Scientists - Apply Now

Review of applications will begin immediately and continue until our two open positions for the current academic year are filled. Applicants must be U.S. citizens or legal permanent residents. Individuals on temporary visas are not eligible.

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