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

Requisition #: A-133566-11

Status: Full Time

Type: Faculty

School: School of Medicine

Department/Program: Quantitative Sciences

Location City: Baltimore

Location State: MD

Location Zip Code: 21287

Closing Date: Open until filled

To apply: apply.interfolio.com/133566

General Description

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.

Qualifications

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

Application Instructions

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

The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved.

Pre-Employment Information

The successful candidate(s) for this position will be subject to a pre-employment background check.

If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at [email protected]. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit accessibility.jhu.edu.

Johns Hopkins has mandated COVID-19 and influenza vaccines, as applicable. The COVID-19 vaccine does not apply to positions located in the State of Florida. Exceptions to the COVID and flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. For additional information, applicants for SOM positions should visit https://www.hopkinsmedicine.org/coronavirus/covid-19-vaccine/ and all other JHU applicants should visit https://covidinfo.jhu.edu/health-safety/covid-vaccination-information/.

The following additional provisions may apply depending on which campus you will work. Your recruiter will advise accordingly.

The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.