Onnela Lab Postdoctoral Research Fellow Position Digital Phenotyping/Smartphone Data Research
- Employer
- HARVARD UNIVERSITY
- Location
- Massachusetts, United States
- Closing date
- 23 Oct 2019
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- Academic Discipline
- Computer Science, Engineering & Technology, Clinical, Pre-clinical & Health, Mathematics & Statistics, Physical Sciences, Other Health & Social Care
- Job Type
- Academic Posts, Postdocs
- Contract Type
- Fixed Term
- Hours
- Full Time
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.
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.
Special Instructions
For more information about the lab, please visit https://www.hsph.harvard.edu/onnela-lab/.
Contact Information
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.
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