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Position: Statistician
Institution: Harvard University
Location: Cambridge, Massachusetts, United States
Duties: The Initiative to Integrate Oral Health and Medicine seeks a research associate to join our research team and provide quantitative and analytical support. Our faculty and student led research is focused on building the evidence base to promote the essentialism of oral health and to promote systems changes that enhance equitable health outcomes through integration of dental care with medical and social care. We promote public health dentistry, raise awareness, and alleviate disease burden through rigorous research and education programs
Requirements: Master’s degree in statistics or other related fields. Experience with large-scale data analysis with R or Python as well as experience with SQL and Linux preferred; PhD in stats or related field considered for postdoctoral position
   
Text: Skip to Main Content alternate_text_here Explore Academic Positions at Harvard Home Search Jobs Create Account Log In Help Statistician/Office of Global and Community Health | | Please see Special Instructions for more details. . Position Details Title Statistician/Office of Global and Community Health School Harvard School of Dental Medicine Department/Area Office of Global and Community Health Position Description The Initiative to Integrate Oral Health and Medicine seeks a research associate to join our research team and provide quantitative and analytical support. Our faculty and student led research is focused on building the evidence base to promote the essentialism of oral health and to promote systems changes that enhance equitable health outcomes through integration of dental care with medical and social care. We promote public health dentistry, raise awareness, and alleviate disease burden through rigorous research and education programs. The Initiative is seeking a statistician to work on a variety of research projects and tasks. We use methods from the fields of computer science, epidemiology, and statistics to evaluate public health programs, build more robust payment systems, and target interventions to improve health outcomes. In this role, the individual will be responsible for conducting comparative effectiveness analysis of benefit plans, managing and analyzing large electronic health record and claims datasets, and running simulation models of innovative payment systems and policy interventions, fostering collaboration with the Harvard Data Science Initiative and other Harvard research teams. Understanding of and experience with machine learning principles preferred. The candidate will work as part of an interdisciplinary team of clinical and public health professionals contributing to the design of studies, performing statistical analysis, interpreting data, and preparing oral and written scientific reports. The selected candidate will be expected to provide scientific expertise and engage directly in research and methods development with faculty, program directors, and postdoctoral fellows to collaborate in solving important scientific problems related to the school’s mission. This position has a term appointment of one year from the date of hire with the possibility for extension. The Harvard School of Dental Medicine values diversity among its faculty, is committed to building a culturally diverse intellectual community, and strongly encourages applications from women and underrepresented groups. Basic Qualifications Master’s degree in statistics or other related fields. Experience with large-scale data analysis with R or Python as well as experience with SQL and Linux preferred. Additional Qualifications PhD in stats or related field considered for postdoctoral position Special Instructions Interested candidates can send CV, a brief description of research experience, and contact details of 3 references to: Jane Barrow at jane_barrow@hsdm.harvard.edu Contact Information Jane Barrow Harvard School of Dental Medicine 188 Longwood Avenue Boston, MA 02115 Contact Email jane_barrow@hsdm.harvard.edu 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 Supplemental Questions Required fields are indicated with an asterisk (*). Applicant Documents Required Documents Optional Documents Trademark Notice | Harvard University Copyright © 2015 The President & Fellows of Harvard College Facebook Icon Twitter Icon LinkedIn Icon Instagram Icon Youtube Icon Soundcloud Icon Google+ Icon Apple Music Icon
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