Biomedical Informatics Curriculum Fellow
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Please see Special Instructions for more details.
Applications received by February 1st, 2025 will receive a full review. Applicants who apply after the deadline must email cfp@hms.harvard.edu to alert the hiring team you've applied.
Position
Details
Title | Biomedical Informatics Curriculum Fellow |
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School | Harvard Medical School |
Department/Area | Biomedical Informatics |
Position Description | The Harvard Medical School Curriculum Fellows Program (HMS CFP) is seeking applications for a Biomedical Informatics Curriculum Fellow (CF) for the Department of Biomedical Informatics. This postdoctoral program targets early-career scientist-educators, emphasizing curriculum development, teaching, and educational programming in the biological and biomedical sciences. The Biomedical Informatics Curriculum Fellow collaborates with a diverse cohort of Curriculum Fellows, leveraging individual expertise while closely engaging with Harvard Medical School faculty and administration to craft, implement, and assess evidence-based graduate training. Fellows benefit from mentorship and career guidance, nurturing their growth as educators and facilitating success across various education-focused careers. Further details are available on our website (https://curriculumfellows.hms.harvard.edu/). The primary role of the Biomedical Informatics Curriculum Fellow will be to support the Master of Medical Sciences in Biomedical Informatics (MMSc-BMI) program housed in the Department of Biomedical Informatics at Harvard Medical School. This program includes a rigorous combination of core coursework and a year-long full-time thesis research project. As part of the team leading this master’s program, the curriculum fellow will ensure that the program’s offerings provide opportunities for students to develop skills in data science in the context of medicine and biological science to improve human health. The CF will report directly to and receive mentorship from Dr. Aparna Nathan (Associate Director of the MMSc-BMI program) and Dr. Aimee Hollander (the Curriculum Fellows Program Director). The MMSc-BMI program will work with the successful candidate to identify a faculty mentor in their scientific area of expertise.
The primary responsibilities of the Biomedical Informatics Curriculum Fellow are expected to include:
Additionally, the Biomedical Informatics Curriculum Fellow will also have specific responsibilities to the CFP:
BASIC QUALIFICATIONS: Candidates are expected to have a Doctorate-level degree in a Biomedical Informatics-related field (e.g., computational biology, computer science, biostatistics, etc.), along with experience teaching at the graduate or undergraduate level. Candidates who are currently finishing their doctoral work but have not yet graduated are encouraged to apply.
Qualified candidates will be evaluated based upon their:
Start Date: The ideal start date for this Curriculum Fellow is approximately April 28, 2025, however there is flexibility to start later. This is a full-time position and the candidate will be expected to work in person on the HMS campus in Boston, MA 3-4 days per week. The CF appointment is renewable annually for a maximum of three years and is non-tenure-track. Application Deadline & Instructions: Applications received by February 1st, 2025 will receive a full review. Applicants who apply after the deadline must email cfp@hms.harvard.edu to alert the hiring team you’ve applied.
Below are the required application materials needed to apply:
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Basic Qualifications | Candidates are expected to have a Doctorate-level degree in a Biomedical Informatics-related field (e.g., computational biology, computer science, biostatistics, etc.), along with experience teaching at the graduate or undergraduate level. Candidates who are currently finishing their doctoral work but have not yet graduated are encouraged to apply.
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Additional Qualifications | |
Special Instructions | |
Contact Information | Bethany Krevat Curriculum Fellows Program Coordinator |
Contact Email | cfp@hms.harvard.edu |
Equal Opportunity Employer |
We are committed to cultivating an inclusive workplace culture (https://hr.fas.harvard.edu/inclusive-culture) of faculty, staff, and students with diverse backgrounds, styles, abilities, and motivations. We appreciate and leverage the capabilities, insights, and ideas of all individuals.
Harvard Medical School Mission and Community Values: https://hms.harvard.edu/about-hms/campus-culture/mission-community-values-diversity-statement
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law. |
Minimum Number of References Required | 3 |
Maximum Number of References Allowed | 3 |
Keywords | artificial intelligence, machine learning, data, data science, computational biology, biomedicine, biology, biomedical science, data, science, curriculum, teaching, faculty, postdoc, genetics, neurology, neurobiology, neuroscience |
Supplemental Questions
Required fields are indicated with an asterisk (*).
- *
How did you hear about this position?
- Academic Careers online
- Bay State Banner
- Chronicle of Higher Education
- Harvard Department Website
- Higher Education Recruitment Consortium (HERC)
- HigherEdJobs
- Inside Higher Ed
- Nomination Letter
- Professional Conference
- Professional Organization or Listserv
- Referred by a colleague
- *
Will you hold a doctoral degree by the date indicated in the job advertisement?
- Yes
- No
Applicant Documents
Required Documents
- Curriculum Vitae
- Cover Letter
- Statement of Teaching Philosophy