Lecturer in Biomedical Informatics

Harvard University, United States

Updated: almost 2 years ago
Location: Cambridge, MASSACHUSETTS
Deadline: ;

Details


Title Lecturer in Biomedical Informatics
School Harvard Medical School
Department/Area Biomedical Informatics
Position Description
The Department of Biomedical Informatics at Harvard Medical School is hiring a Lecturer in Biomedical Informatics to support the educational mission of its Master of Biomedical Informatics program.
Founded in 2015, the Department of Biomedical Informatics (DBMI) is one of 11 basic and social science departments of Harvard Medical School. It is home to the Master of Biomedical Informatics Program (MBI ) and the Bioinformatics and Integrative Genomics PhD program (BIG ), with a combined student body of over 100 graduate students. Additionally, the department hosts a 9-week undergraduate summer internship program. 
The responsibilities of the Lecturer in Biomedical Informatics include teaching, leading the MBI capstone experience, curriculum development, participation in student affairs activities such as mentoring and career advising. If interested, the successful candidate is welcome to develop their own research projects or participate in ongoing research in the Department of Biomedical Informatics.
The Lecturer will be part of a diverse team of biomedical informatics faculty, researchers, and administrators and will work closely with a dedicated education team that includes the MBI Program Manager, the DBMI Associate Director of Education, and the MBI Curriculum Fellow. They will report to the Program Director of the Master of Biomedical Informatics and will be appointed as Lecturer at Harvard Medical School. The initial appointment will be for one year and can be extended. The salary range for this position will be at the level of a starting Assistant Professor. 
 
About our Educational Programs 
 
The Master of Biomedical Informatics 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 enrolls both post-baccalaureate and post-doctoral students. Post-baccalaureate students come from a wide range of undergraduate backgrounds but generally have strong quantitative and computational skills. Post-doctoral students are most often MDs who pursue the Master’s degree during their research fellowship or PhDs with a degree in a biomedical subject.
The Bioinformatics and Integrative Genomics PhD Program offers interdisciplinary training aimed at producing leading researchers in these areas. Most of our students come with a very strong background in a quantitative field and significant experience in molecular biology and genetics.
The department supports students in these programs through training grants from the National Library of Medicine and the National Human Genome Research Institute.
 
Core Duties 
 
Teach introductory courses in programming, statistics, and data science with applications to biomedicine. If interested, one of the courses may be an advanced graduate course in biomedical informatics 
 
Lead execution and development of the Master of Biomedical Informatics capstone experience, including developing and offering lectures on scientific writing, research methods, and other relevant skills 
 
Develop and update course curricula in collaboration with the Program Director and the Curriculum Fellow and Course Directors
 
Provide general mentoring and career advising to MBI students as needed
Participate in diversity, equity, and inclusion (DEI) efforts as needed
 
Help organize and participate in educational events, such as seminars, workshops, and conferences, as well as recruitment events as needed
Basic Qualifications
Doctoral degree in a relevant field, such as biomedical informatics, bioinformatics, medical informatics, computational biology, computer science, data science, or (bio)statistics 
 
Aptitude in teaching introductory classes 
 
Experience and/or strong interest in the application of quantitative methods to biological sciences
Additional Qualifications
Ability to effectively track details regarding day-to-day and longer-term initiatives 
 
Strong comfort with technology and the ability to self-teach programs and processes that are not part of the current skill set. Familiarity with some of the following programs and processes would be helpful: online learning platforms (Canvas, Panopto), website editing (Drupal, HTML) 
 
Ability to demonstrate leadership, program management, and strong communication skills (both written and verbal) 
 
Demonstrated ability to work as a member of a team in cooperation with a diverse constituency, from administrative staff to students and faculty.
Special Instructions
Remote Work Notice
 
The Master of Biomedical Informatics program has resumed in-person instruction during the 2021-2022 academic year. Remote work arrangements are possible, however, the successful candidate will be required to teach and conduct related activities in person. To comply with Harvard employment policies, the Lecturer must reside in one of the following states: MA, CA, CT, ME, MD, NH, NY, RI, VT. 
 
 
How to Apply 
 
Candidates should submit an expression of interest, their CV, a detailed teaching statement, a diversity statement, a brief research statement (optional), and contact information for three references to Dr Lilen Uchima, DBMI Associate Director of Education ([email protected]) with [LECTURER] in the subject.
Contact Information
Lilen Uchima, PhD 
Associate Director of Education, DBMI
Harvard Medical School 
10 Shattuck St 
Boston, MA 02115
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
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