Tenure-Track/Assistant Professor Faculty (PhD) Level Computational OncologistJohns Hopkins University
US-MD
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.
Qualifications
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.
Job Information
Start Date: 0000-00-00
Duration: Full Time
Status: Open
Contact Information
Johns Hopkins University
Oncology
Kristin Kearney/ Alisa Moore
kkearne7@jhmi.edu/
mooreal@jhmi.edu 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