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- Assistant Teaching Professor in Biology (Health Informatics and AI)
Description
The Division of Biology and Medicine is seeking an Assistant Teaching Professor in Biology, who will be appointed in Biology Education, a section of the Division’s Medical Science Academic Unit. This teaching track faculty member will provide expertise in teaching and curriculum development for the recently launched Master of Science in Health Informatics Program, while also contributing courses that serve the broader biomedical graduate community, which includes two other master’s programs and seven doctoral programs.
The successful candidate must qualify for a full-time faculty position at the rank of Assistant Teaching Professor in Biology Education in the Division of Biology and Medicine. Minimum requirements include:
- Education: Doctoral degree in Biostatistics, Statistics, Data Science, Computer Science, Biomedical Informatics, or a closely related field.
- Experience: Course development and teaching experience in higher education is required, and experience teaching computational approaches to groups of students with varying prior training will be viewed as a major strength. Candidates with prior experience in the development and use of statistical and AI methodologies to analyze biological or health data in real-world settings is strongly preferred. Experience with student advising and mentoring is preferred.
- Communication and Collaboration: Excellent verbal and written communication skills. Ability to work collaboratively with different stakeholders: students, faculty, senior administrators, and staff. Ability to engage and motivate students with various backgrounds and skill levels. Exemplary professionalism as demonstrated by excellent communication skills, collegiality, and ability to meet the needs of a large number of stakeholders.
- Commitment: Strong commitment to inclusive teaching practices and high-quality teaching. Ability to work collaboratively with faculty and staff across disciplinary boundaries. Prior experience in designing academic programs in health AI is preferred.
Interested candidates should submit:
- Cover Letter that summarizes interest and qualifications.
- Curriculum Vitae.
- Teaching Statement: A two-page statement describing contributions to higher education: instruction, course design and assessment, curricular contributions, and advising. The teaching statement should include future goals as an educator and provide examples of why and how inclusive classroom practices, alongside impactful teaching strategies, have been effective in current/past courses.
- Summary of Teaching Evaluations (where applicable).
Candidates should address how they would contribute to the research and/or teaching missions of our diverse and inclusive university community. Candidates should also suggest up to three references who will be contacted for letters after the initial screening of applicants. The names, affiliations, titles, and contact information of these references should be included in the cover letter.
As an EEO employer, Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a person’s race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law, in the administration of its policies, programs, and activities. The University recognizes and rewards individuals on the basis of qualifications and performance. The University maintains certain affirmative action programs in compliance with applicable law.
For this position, Brown does not sponsor the H-1B visa classification to scholars who need immigration sponsorship in order to enter the U.S. and commence lawful employment under the terms of their appointment.
Review of applications will begin immediately and will continue until the position is filled or the search is closed.
The full job description and online application can be found at: https://apply.interfolio.com/176254
