Tenure-Track/Assistant Professor Faculty (PhD) in Computational Oncology

The candidate will join a transdisciplinary research environment, which encourages team science projects

to rapidly advance new technologies and methodologies into clinical / translational studies. The Division

of Quantitative Sciences offers unique opportunities for research and teaching opportunities in the rich

computational biology community spanning many Institutes across Johns Hopkins University, including

the Departments of Biomedical Engineering, Biostatistics, and Applied Mathematics and Statistics and

the Convergence Institute and Bloomberg Kimmel Immunology for Cancer Immunotherapy. This

collaborative, transdisciplinary research environment promoted in the Quantitative Sciences Division and

the broader Johns Hopkins University fosters a diverse and inclusive community. Primary research focus

should be dry lab cancer research leveraging computational biology, data science, and machine learning.

We offer a competitive salary, benefits package, and start-up package.

Duties and Responsibilities

• 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, mathematical modeling, and/or artificial

intelligence and machine learning for cancer.

• Lead team science data science initiatives with cancer biologists, technology developers, and

clinical investigators in Sidney Kimmel Comprehensive Cancer Center, Cancer Center Institutes,

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, data science and machine learning, 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 develop a robust dry lab research program.

The Johns Hopkins University is committed to active recruitment of a diverse faculty and student body.

The University is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected

veterans and individuals with disabilities, and encourages applications from these and other protected

group members. Consistent with the University's goals of achieving excellence in all areas, we will assess

the comprehensive qualifications of each applicant

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

Job Type: Full Time Johns Hopkins University is committed to active recruitment of a diverse faculty and student body. The University is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected veterans and individuals with disabilities and encourages applications from these and other protected group members. Consistent with the University's goals of achieving excellence in all areas, we will assess the comprehensive qualifications of each applicant.