Tenure Track Faculty
The Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health is seeking an outstanding colleague to join our tenure track faculty at the assistant or associate professor level. We seek candidates to strengthen us in advancing statistical and data science, making discoveries to improve health, and providing an innovative biostatistics education. Responsibilities include methodological and collaborative research, teaching, and mentorship of graduate students. Candidates should also be committed to fostering principles of justice, equity, diversity, and inclusion throughout their research, teaching, and mentoring activities in the statistical and data sciences. Both new PhDs and recent postdoctoral fellows are particularly encouraged to apply.
The Johns Hopkins Department of Biostatistics, founded in 1918, was the first degree-granting department of statistical science in the US and has ranked among the world’s best throughout its history. Today, the Department comprises 25 tenure track faculty members, 26 research track faculty, 15 postdoctoral fellows and 79 students, 46 seeking PhDs. Current areas of expertise are diverse, ranging from the real-time analysis of large, streaming data to philosophy and implementation of data science to statistical theory and methods. Our health applications include statistical genomics and genetics, neuroimaging, clinical trials, precision health, environmental health and many others. Learn more at https://publichealth.jhu.edu/departments/biostatistics.
The Department’s faculty, students and fellows strive to be influential at the interface of the statistical and health sciences, with the ultimate goal to increase the health of all people. The Johns Hopkins Schools of Public Health, Medicine, and Nursing, the Johns Hopkins Health System, and the Johns Hopkins University are among the top worldwide and provide a research and educational environment in which faculty can achieve scientific excellence. Our faculty have a strong history of being leaders in developing innovative educational content in applied statistics and data science, in particular within the Johns Hopkins Data Science Lab (https://jhudatascience.org). Most importantly, the department prides itself on having a history of strong mentorship for assistant and associate professors, a supportive environment for collaboration and collegiality, and diversity. Margaret Merrell, the School’s first female faculty member, was appointed in 1930 and became the School’s first female professor. We highly value this tradition: Women and members of under-represented groups are particularly encouraged to apply.
Basic qualifications. Qualified applicants will have a doctoral degree in biostatistics, statistics, computer science, mathematics, computational biology, or a related field. Candidates are required to have their doctoral degree by the time the appointment begins, and the rank of the appointment will be determined in accordance with the successful candidate’s experience.
Submit cover letter, CV, statements on research and educational interests and goals, two manuscripts or articles representing your most important work, and the identity of three references who you have asked to provide supporting letters to https://apply.interfolio.com/97215
In addition, applications should include a statement of demonstrated commitment to the principles of inclusion, diversity, anti-racism, and equity (IDARE) in scholarship, teaching, policy, and practice, and ways to continue to uplift these principles as a member of the Bloomberg faculty.
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. The Johns Hopkins University is a smoke-free environment and as such prohibits smoking in all facilities. The Johns Hopkins University is a drug-free workplace.