HARVARD UNIVERSITY

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

Location
Cambridge, Massachusetts (US)
Posted
16 Apr 2018
End of advertisement period
16 May 2018
Ref
7596
Contract Type
Fixed Term
Hours
Full Time

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

Harvard T.H. Chan School of Public Health

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.

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.

Basic Qualifications

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

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

Additional Qualifications

Special Instructions

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

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

Contact Information

Susan Luvisi

Susan Luvisi

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, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Minimum Number of References Required

2

Maximum Number of References Allowed 

5