Postdoctoral Research Fellowship Position in Biostatistics
- Recruiter
- HARVARD UNIVERSITY
- Location
- Massachusetts, United States
- Posted
- 05 Feb 2019
- End of advertisement period
- 05 Mar 2019
- Ref
- 8846
- Academic Discipline
- Clinical, Pre-clinical & Health, Other Health & Social Care, Engineering & Technology, Computer Science, Life sciences, Biological Sciences, Physical Sciences, Mathematics & Statistics
- Job Type
- Academic Posts, Postdocs
- Contract Type
- Permanent
- Hours
- Full Time
School
Harvard T.H. Chan School of Public Health
Department/Area
Biostatistics
Position Description
The Department of Biostatistics at the Harvard T.H. Chan School of Public Health is seeking candidates with a PhD in Statistics/Biostatistics for a postdoctoral position. The position involves the development and implementation of methodology for the design and analysis of longitudinal and/or cluster-correlated continuous, categorical or survival outcomes. Specific methodologic challenges that are of interest include: methods for missing data, outcome-dependent sampling schemes and methods for challenges that arise in EHR-based settings. The primary motivating examples are in global health, specifically in resource-limited settings, and in health policy, specifically quality-of-end-of-life care. However, it is anticipated that the methods should be applicable to a broad range of settings. The successful candidate will work with Dr. Sebastien Haneuse and his collaborators.
Basic Qualifications
Doctoral degree in Statistics, Biostatistics, or a related field; strong background/expertise in survival analysis; strong computing is desired, along with excellent communication and writing skills.
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, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.
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