Postdoctoral Research Fellow/Research Associate Position in Biostatistics and Biomedical Informatics | Cambridge, Massachusetts, United States | Harvard University

Position:	Postdoctoral Research Fellow/Research Associate Position in Biostatistics and Biomedical Informatics
Institution:	Harvard University
Location:	Cambridge, Massachusetts, United States
Duties:	A Postdoctoral Research Fellow or Research Associate position in biostatistics and biomedical informatics is available at Harvard T.H. Chan School of Public Health. The positions involve developing and applying statistical and computational methods for analysis of electronic health records ( EHR ) data including narrative data extracted via natural language processing, codified phenotype data as well as large scale genomic measurements. We seek an individual with strong statistical and computing backgrounds and who has expertise in statistical and machine learning methods for big data. The work will involve development and application of statistical and informatics methods and algorithm for analyzing EHR data
Requirements:	Ph.D. in a quantitative field, e.g., statistics or biostatistics, computer sciences, strong quantitative research background, statistical and programming proficiency, as well as good written and oral communication skills; for the Research Associate position two years of postdoctoral experience is preferred

Text:	Skip to Main Content Explore Academic Positions at Harvard Toggle navigation Home Search Jobs Log In /Create Account Help Postdoctoral Research Fellow/Research Associate Position in Biostatistics and Biomedical Informatics Bookmark this Posting \| Print Preview \| Apply for this Job Position Details Title Postdoctoral Research Fellow/Research Associate Position in Biostatistics and Biomedical Informatics School Harvard T.H. Chan School of Public Health Department/Area Biostatistics Position Description A Postdoctoral Research Fellow or Research Associate position in biostatistics and biomedical informatics is available at Harvard T.H. Chan School of Public Health. The positions involve developing and applying statistical and computational methods for analysis of electronic health records ( EHR ) data including narrative data extracted via natural language processing, codified phenotype data as well as large scale genomic measurements. We seek an individual with strong statistical and computing backgrounds and who has expertise in statistical and machine learning methods for big data. The work will involve development and application of statistical and informatics methods and algorithm for analyzing EHR data. Basic Qualifications Ph.D. in a quantitative field, e.g., statistics or biostatistics, computer sciences, strong quantitative research background, statistical and programming proficiency, as well as good written and oral communication skills. For the Research Associate position two years of postdoctoral experience is preferred. Additional Qualifications Special Instructions Scientific questions regarding this position can be sent to Tianxi Cai at tcai@hsph.harvard.edu . Contact Information Trevor Bierig Contact Email biostat_postdoc@hsph.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 2 Maximum Number of References Allowed 4 Keywords Supplemental Questions Required fields are indicated with an asterisk (*). Applicant Documents Required Documents Curriculum Vitae Cover Letter Optional Documents Trademark Notice \| Harvard University Copyright © 2015 The President & Fellows of Harvard College ")); To ensure the security of your data, you will be logged out due to inactivity in 3 minutes at . Any data not saved will be lost. Click 'OK' to keep your session active.