Onnela Lab Postdoctoral Research Fellow Position Digital Phenotyping / Smartphone Data Research at Harvard University in Cambridge, Massachusetts

Job Description:

Harvard University


Title: Onnela Lab Postdoctoral Research Fellow Position Digital Phenotyping / Smartphone Data Research

School: Harvard T.H. Chan School of Public Health

Department_Area: Biostatistics

Position Description: The Onnela Lab in the Department of Biostatistics at the Harvard T.H. Chan School

of Public Health is seeking candidates with a Ph.D. in biostatistics, applied mathematics, computer science, or a related quantitative field for a two-year Postdoctoral Research Fellow position. This position involves developing statistical methods, data analytic tools, and mathematical models for analyzing smartphone data-collected with our high-throughput digital phenotyping platform-in biomedical research cohorts with the goal of establishing more precise and dynamic disease phenotypes. Specifically, this postdoc position will focus on developing statistical methods for the recognition and quantification of human activity data using primarily accelerometer data from smartphones and wearables.

Basic Qualifications: Doctoral degree in statistics, biostatistics, computer science, applied mathematics, or a related quantitative field. Excellent programming skills, as well as strong oral communication and writing skills are required.


Special Instructions: For more information about the lab, please visit https://www.hsph.harvard.edu/onnela-lab/.

Contact Information: Hassan Dawood

Contact Email: hdawood@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: 5


Supplemental Questions: Required fields are indicated with an asterisk (*).

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