Postdoctoral Research Scientist

Postdoctoral Research Scientist

 

The Data Mining Lab at Columbia University’s Department of Biomedical Informatics seeks to hire a postdoctoral research scientist interested in using and developing Computational Science tools for mining large clinical data sets such as electronic health records.  The group applies algorithms drawn from Biomedical Informatics, Computer Science, Statistics, Applied Mathematics, Physiology, and Applied Physics to the 5-million-patient Columbia University Medical Center database to learn about physiology, drug side effects, drug repurposing, patient safety, and optimal care delivery.  The candidate will be part of a team including MDs and PhDs in a diversity of fields working on problems ranging from data-driven phenotype definition to natural language processing including the development of new fundamental data-analysis techniques motivated by real problems in applied biomedical areas.

 

The candidate must have a doctoral degree in Applied Mathematics, Engineering, Physics, Statistics, Computer Science, Biomedical Informatics, or a related field.  The candidate should have a background in Data Science, including one or more of the following fields: nonlinear time series analysis, inverse problems, Machine Learning, Statistical and digital signal processing, Physiology, Data Assimilation, Graph Theory, Statistical Physics, Statistics and Epidemiology, Physiology, Systems Medicine, Machine Learning, Graphical Modeling, or Pharmacology.

 

Experience with large data sets and temporal analysis techniques is a plus.

 

If you have any questions about the position, please contact David Albers at dja2119@cumc.columbia.edu or George Hripcsak at hripcsak@columbia.edu.

 

Interested applicants should submit their application on the Columbia University site: Use quick link provided to view posting.

 

academicjobs.columbia.edu/applicants/Central?quickFind=65808

 

Columbia University is an Equal Opportunity and Affirmative Action Employer.