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Developing Statistical Models in the Intersection of Imaging and Genetics Analysis of Mental Disorders


Employer:  University of Pittsburgh
Job Number:  4019572
Date Posted:  01/28/2017
Application Deadline: Open Until Filled

Job Description

We are looking for a self-motivated, quantitative scientist with a strong background in applied statistics and machine learning who is genuinely interested in working with an exciting project in Big Data in Healthcare, specifically imaging-genetics. The objective of this project is to develop a statistical model relating population genetics and neuroimage analysis using state-the-art graphical model and causal inference. For example, to characterize the underlying hidden population structure for mental diseases such as Schizophrenia. We have unique large-scale datasets consisting of thousands of subjects each with genotype, brain image measurements, and neurocognitive scores. The position will focus on developing a general statistical model that incorporates information from multiple sources of public and private data and across different modalities of data (imaging, genetic, gene expression, etc.) to infer the causal relationship between gene and abnormal variations in brain structure. The project is a multi-disciplinary research collaboration between multiple universities and industry with high potential for high impact publication. The candidate for this position is expected to have a strong background in machine learning, advanced statistical modeling, and data analysis and possess excellent writing and communication skills. Having experience in biostatistics and particularly analyzing genetic and imaging data in a big plus.

Responsibilities include the development of the algorithms, data management, statistical data analysis, collaboration with scientists in multi-disciplinary teams, and presenting findings at the international conferences and journal.

The position is supported for 2 years. However, candidates will be appointed for one year, with a second-year extension possible based on progress. The postdoc will have a joint appointment between the University of Pittsburgh and the Carnegie Mellon University. Interested applicants should directly contact Dr. Kayhan Batmanghelich: kayhan@pitt.edu.

For more information, please visit:
http://people.csail.mit.edu/kayhan/
https://ei.is.tuebingen.mpg.de/person/kzhang
http://www.ccd.pitt.edu/
  
 
Contact:  Kayhan Batmanghelich
Department of Biomedical Informatics
University of Pittsburgh
5607 Baum Blvd
Pittsburgh, PA 15206
United States
Phone: 267-570-9718
Email:
Employer's Web Site:  Visit employer's website
Online Application: Apply for this job from Employer's website

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