Bioinformatics Assistant Professor

Roswell Park Cancer Institute • Roswell, GA

1d

About The Position

Roswell Park Comprehensive Cancer Center, an NCI-Designated Comprehensive Cancer Center in Buffalo, NY, invites applications for faculty positions at the Assistant Professor level in the Department of Biostatistics & Bioinformatics. We seek outstanding candidates with research expertise in artificial intelligence, machine learning, and/or spatial omics, especially as applied to cancer biology, oncology data science, or translational research. Roswell Park Comprehensive Cancer Center, the nation’s first cancer center founded in 1898, has made fundamental contributions to reducing the cancer burden and has successfully maintained a leadership role in setting national standards for cancer care, research, and education. The Department of Biostatistics & Bioinformatics is a vibrant, growing department that plays a central role in Roswell Park’s mission. Faculty members collaborate closely with investigators in the areas of cancer biology, immunology, genomics, population sciences, and therapeutic development. Candidates should include a CV, a brief research statement (no more than 3 pages) and the names of 3 references with your application.

Requirements

• Doctoral degree in an appropriate scientific or clinical-based discipline and the equivalent of two (2) years of full-time experience in an applicable scientific or clinical research environment.
• NOTE: Required degrees must have been granted by an accredited school, college or university or one recognized by Roswell Park Comprehensive Cancer Center as following acceptable educational practices.

Nice To Haves

• PhD or equivalent degree in Biostatistics, Bioinformatics, Computational Biology, Computer Science, or a related field
• A strong publication record and potential (or demonstrated ability) to secure extramural funding
• Strong interest in interdisciplinary collaboration
• Excellent communication and mentoring skills

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree
• Number of Employees: 1,001-5,000 employees