Details
Title | Curriculum Fellow in Biomedical Informatics |
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School | Harvard Medical School |
Department/Area | Biomedical Informatics |
Position Description | The Harvard Medical School Curriculum Fellows Program (HMS CFP) welcomes applications for a Curriculum Fellow (CF) in Biomedical Informatics. The CFP is a postdoctoral service and training program focused on curriculum development, teaching, and educational programming in the biological and biomedical sciences. Curriculum Fellows are part of a larger cohort and work closely with members of the Harvard faculty and administration to develop, deploy, and evaluate evidence-based graduate training. Fellows also receive mentorship and career advising to support their development as educators and help them succeed in a variety of education-focused careers. More detailed information about the Curriculum Fellows Program, the role of a CF, and the outcomes of former fellows can be found in the 2022 CF cohort announcement available on our website (https://curriculumfellows.hms.harvard.edu ). The primary role of the CF in Biomedical Informatics will be to support the Master of Biomedical Informatics (MBI) program housed in the Department of Biomedical Informatics at Harvard Medical School . The MBI program is designed to advance the use of biomedical data, information, and knowledge for scientific inquiry, problem-solving, and decision-making. This program is created for students who are looking to develop skills in data science in the context of medicine and biological sciences to improve human health. It consists of two programs that enroll post-baccalaureate and post-doctoral students. Both programs include a range of foundational courses in quantitative and biomedical subjects and courses in emerging areas such as precision medicine, data science, and data visualization. All students complete a capstone research project with a Harvard faculty member. Responsibilities
Qualified candidates will be evaluated based on their:
Fellowships are intended for early-career scientist-educators. The CF appointment is renewable annually for a maximum of three years and is non-tenure-track. Fellows are appointed as Research Fellows and typically earn promotion to the rank of Lecturer during the term of the fellowship. The ideal start date for this position is approximately July 1, 2022. The current COVID-19 restrictions in place at Harvard Medical School mean this position may begin with a combination of remote and in-person work. However, fellows may be expected to work completely in person when this becomes possible. HMS and the CFP support flexible schedules, but these decisions will be made on an individual basis and will be regularly reviewed. Interviews for the MBI CF position will be held remotely. The salary for this position will be highly competitive. Qualified candidates should expect compensation above the average post-doc salary in the Department of Biomedical Informatics. |
Basic Qualifications |
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Additional Qualifications | |
Special Instructions | To apply: To apply, please submit the following materials: · A cover letter that addresses your interest in and qualifications for the position. · A curriculum vitae. · A teaching statement following our Teaching Statement Guidelines. The teaching statement is an opportunity to describe your philosophy of teaching in the context of your own experiences. A discussion of diversity, equity and inclusion is an important component of the teaching statement. · The names and contact information of three professional references. |
Contact Information | Bethany Krevat Curriculum Fellows Program Coordinator |
Contact Email | [email protected] |
Equal Opportunity Employer | 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 | computer science, biomedical science, data, science, curriculum, teaching |
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