Integrated Program in Cancer and Data Science (ICADS) T32

Collaborative, cutting-edge research projects at the forefront of cancer and data science are central to the ICADS Program. In this training program, fellows in cancer biology and data science work in unison to attack a complex biological or population scale problem, bringing together critical puzzle pieces that drive interdisciplinary team science. 

Data Science applicants must have a terminal (Ph.D.) degree in Statistics, Biostatistics, Bioinformatics or related field and a strong interest in research. Cancer Biology applicants must have a terminal (Ph.D.) 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 using the link below.

Data Science Fellow

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.