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

Details

Title Postdoctoral Research Fellow/Research Associate Position in Biostatistics and Biomedical Informatics

School Harvard T.H. Chan School of Public Health

Department/Area

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

Contact Information

Scientific questions regarding this position can be sent to Tianxi Cai at tcai@hsph.harvard.edu.

Contact Email sluvisi@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 3

Maximum Number of References Allowed 6

Supplemental Questions