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The Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health is seeking outstanding colleagues to join our tenure track faculty at the assistant 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. We are particularly interested in candidates with expertise in biostatistics, data science, and AI and a passion for public health. Johns Hopkins University has recently made a transformative investment launching a Data Science and AI institute (https://ai.jhu.edu/) that will serve the hub for interdisciplinary data collaborations with faculties and students from across Johns Hopkins and will build the nation's foremost destination for emerging applications, opportunities and challenges presented by data science, machine learning and AI. We anticipate the individual hired into this position will have strong links with the Data Science and AI Institute.

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 23 tenure track faculty members, 27 non-tenure track faculty, 16 postdoctoral fellows and 81 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, which grow out of deep collaborations, include statistical genomics and genetics, neuroimaging, clinical trials, precision health, mental health and substance use, 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. 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.

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.

Expected salary ranges: Assistant Professor $160,000-$180,000. The referenced salary ranges are based on Johns Hopkins University's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

Salary: $160,000-$180,000 per year

The Johns Hopkins Bloomberg School of Public Health strives to improve the health of global communities by advancing public health education, scholarship, and practice and is firmly committed to a school that embraces scholarship, critical thinking, innovation and scientific rigor and cultivates a diverse, inclusive, and nurturing environment for all students, faculty and staff. As such, applicants should submit a letter of interest that summarizes why they are attracted to this position, what attributes and experiences make them a competitive candidate, and how their past record, current actions, and future plans will contribute to the mission of the BSPH and the Department of Biostatistics.

With their cover letter applicants should also submit their CV, a statement on research interests and goals, a statement on educational interests and goals, and two manuscripts or articles representing their most important work to https://apply.interfolio.com/176686 . Please also include in your cover letter, research statement, or educational statement, the contributions you are most proud of, such as publications, outreach efforts, social media, Github repositories, software packages, experience with team science and substantive collaborations, as well as any course materials you have developed.

In addition, three confidential reference letters are required for applicants who completed their degree after September 2023. We will follow up directly with applicants for whom reference letters are needed.

Candidates who completed their terminal degree before September 2023 should instead submit the names and contact information of three references as part of their cover letter.

Review of applications will begin on November 15, 2025 and will continue until the position is filled . Cover letters should be addressed to the Search Committee co-Chairs, Martin Lindquist and Abhirup Datta, Professors of Biostatistics. Please direct all questions about this search to Ms. Mary Joy Argo, Academic Administrator, at [email protected] .

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.

Job Type: Full Time

The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range.

Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: https://hr.jhu.edu/benefits-worklife/.

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

EEO is the Law

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