Job description
Cambridge, MA
School: Harvard Medical School
Department/Area: Health Care Policy/Statistics
Position Description
The Department of Health Care Policy (HCP) at Harvard Medical School is a multidisciplinary research department that brings together faculty from economics, medicine, sociology, statistics, and health policy and health services research, creating a dynamic environment for synergy and innovation. Through this cross-disciplinary approach, HCP faculty pioneer the discovery and dissemination of knowledge and mentor the next generation of leaders in health policy research.
HCP is seeking candidates for a faculty position in statistics or a related field at the level of full professor with tenure. The candidate will be a methodological thought leader, a collaborator within the department and across the university, a mentor to junior faculty, and a teacher and advisor to graduate students and postdoctoral trainees. The candidate’s research portfolio should demonstrate successful scholarship in innovative statistical methods and their application to health policy and related areas. Research areas of interest may include, but are not limited to, Bayesian inference, causal inference, or machine learning to drive advancements in health care and public policy research.
Applicants should have a record of 1) publishing on topics relevant to health policy research, 2) securing external research grant funding, and 3) mentoring students.Basic Qualifications
Qualified applicants will have a doctoral degree in statistics, biostatistics, data science or a related field.Additional Qualifications
Ideal candidates should be committed to fostering diversity, inclusion, and belonging principles throughout their research and teaching activities.
The successful candidate will have a distinguished record at the full professor level (or equivalent), demonstrating intellectual leadership, impact in the field, and a commitment to teaching, advising, and research, with potential for further contributions to the department, university, and scholarly community.Special Instructions
Applications must be received by December 15, 2024 but will be reviewed on a rolling basis.
Harvard University is committed to fostering a campus culture where everyone can thrive and experience a sense of inclusion and belonging. Community members are encouraged to model our values of integrity, responsible mentorship, equity, and excellence no matter where they are.
To support this commitment to our values of inclusion and excellence, the external finalist for this position will be required to complete a conduct questionnaire – specifically regarding findings of violation, on-going formal complaint investigations, or formal complaint investigations that did not conclude due to the external finalist’s departure concerning: harassment or discrimination, retaliation, sexual misconduct, bullying or intimidating/abusive behavior, unprofessional relationship, or misconduct related to scholarship, research, teaching, service, or clinical/patient care.
Harvard will also make conduct inquiries to current and former employers of the external finalist regarding such misconduct. To facilitate these inquiries, Harvard requires all external applicants for this position to complete, sign, and upload the form entitled “Authorization to release information for external applicants” as part of their application. If an external applicant does not include the signed authorization with the application materials, the application will be considered incomplete, and, as with any incomplete application, will not receive further consideration.
Contact Information
Paula Murphy, Executive Director
Department of Health Care Policy
180 Longwood Avenue
Boston, MA 02115Contact Email: [email protected]
How to apply
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.Keywords
statistics; biostatistics; computer science; health care; health policy; machine learning
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, or any other characteristic protected by law.
