Pathology Informatics
The Department of Pathology of the Johns Hopkins University School of Medicine invites applications for a full-time, tenure-track faculty position in the Division of Informatics.
About the role
Initiate and lead research, educational, and/or clinical activities in translational bioinformatics, digital imaging, clinical research informatics, clinical informatics, and/or population health informatics. Develop and evaluate clinical informatics tools within EPIC/Beaker. Collaborate with, and assist, other pathology colleagues in informatics research projects. Teach our pathology residents and fellows interested in clinical informatics.
Qualifications
- M.D. and/or Ph.D. degrees
- Board certified, or eligible, in Pathology Informatics or Clinical Informatics, or a strong background and experience in informatics
- Board certification, or eligibility, in Anatomic and/or Clinical Pathology is desirable
Application Instructions
Submit applications, including a CV, a brief statement of interest, and names of three references. To apply for this position, visit: apply.interfolio.com/154602
Note: The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.
Total Rewards: The university offers a total rewards package that supports employees' health, life, career, and retirement. More information can be found here.
Equal Opportunity Employer: 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.