Tenure-Track/Assistant Professor Faculty (PhD) Level Computational Oncologist

Johns Hopkins University


Advance a research program in computational oncology, cancer systems biology, computational immunology, or genomics. Broadly, this will include development and applications of single-cell and imaging technologies, multi-omics analysis, and/or mathematical modeling for cancer. Lead team science data science initiatives with cancer biologists, technology developers, and clinical investigators in the Convergence Institute and Sidney Kimmel Comprehensive Cancer Center and broader Johns Hopkins University. Teaching computational oncology in research and didactic courses and mentoring teams of diverse trainees across the Johns Hopkins University.


Tenure Track Faculty: Suitable candidates will hold a Ph.D. in computational biology, bioinformatics, biostatistics, computer science, physics or similar field, with interest and experience in applications to cancer. The successful candidate will be primarily focused on computational research, and will have opportunities to advance experimental studies commensurate with experience.

How to Apply

Applicants should send a letter of application, Curriculum Vitae (including personal website URL if available), a research statement and at least three letters of reference directly from the referees to the following address. OncBioSearch@jhmi.edu Search Committee Department of Oncology Division of Biostatistics and Bioinformatics The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins 550 North Broadway, Suite 1103 Baltimore, MD, 21205-2013


Kristin Kearney/ Alisa Moore
kkearne7@jhmi.edu / mooreal@jhmi.edu