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Postdoctoral Fellow

Employer
HARVARD UNIVERSITY
Location
Boston, Massachusetts (US)
Closing date
27 Mar 2020

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Academic Discipline
Biological Sciences, Life sciences
Job Type
Academic Posts, Postdocs
Contract Type
Fixed Term
Hours
Full Time

Title Postdoctoral Fellow
School Harvard T.H. Chan School of Public Health

Position Description

This is a two-year postdoctoral position developing statistical methods for finding patterns in complex biomedical data, working with Jeff Miller in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health. The primary focus is on methods for high-dimensional clinical and genetic data to perform dimension reduction, variable selection, cluster analysis, disease subtype discovery+classification, and prediction of disease onset+progression. Models and methods of interest include hierarchical models, latent factorization models, sparse regression, mixture models, machine learning algorithms, and optimal experimental design.

Through a partnership with the Collaborative Center for X-linked Dystonia Parkinsonism (CCXDP) at Massachusetts General Hospital, we have access to longitudinal clinical and genetic data for individuals with a rare genetic disease that leads to dystonia and Parkinson-like symptoms. This postdoctoral position will involve developing methods for and analyzing this data, working with Dr. Miller and the CCXDP team to better understand and develop treatments for this debilitating disease.

Basic Qualifications

Doctoral degree in Biostatistics, Statistics, Computer Science, Applied Math, or a related field. Expertise in Bayesian statistics and machine learning, including hierarchical models, factorization models, sparse regression, mixtures, tree-based methods, MCMC, EM, hypothesis tests, etc. Strong programming skills (e.g., in Julia, Python, R, C++). Experience with high-dimensional categorical/ordinal data is a plus.

Primary author on at least one publication in a leading peer-reviewed journal.

Special Instructions

Please also include

  • Cover letter, including why you think this position is a good fit for you.
  • CV 
  • Sample publications

Contact Information

Application questions regarding this position can be sent to Susan Luvisi at sluvisi@hsph.harvard.edu.
Contact Email biostat_postdoc@hsph.harvard.edu

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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