Post-doctoral research associates at Columbia University
The Department of Biomedical Informatics at Columbia University is seeking two
post-doctoral research associates to join a research project led by Drs. Lena
Mamykina and David Albers.

The post-docs will be joining a vibrant, energetic multi-disciplinary team of
researchers with backgrounds in HCI, informatics, data science, physics, education,
nursing, and behavioral nutrition, and work on an important and challenging
problem: reducing health disparities and improving health of disadvantaged
populations using data science and personalized interventions.

The goal of the project is to develop new data-driven solutions for improving self-
management and healthcare for individuals with chronic diseases residing in
economically disadvantaged communities. Our specific focus is on self-management
of type 2 diabetes. In this project, we investigate new data science methods that can
discover important trends in data collected with self-monitoring and new
interactive solutions that help individuals and their healthcare providers use these
discoveries to make more informed decisions. This project is funded by the Culture
of Health program of the Robert-Wood Johnson Foundation.

We are seeking two post-doctoral researchers, one with the focus on HCI and
another with the focus on data science.

The post-doc in HCI will work closely with Dr. Mamykina on investigating self-
management practices within our population – residents of a primarily immigrant,
medically underserved neighborhood in New York City, identifying new
opportunities to support these practices with computer-based interventions,
conducting participatory design workshops, designing user interface for a new
smart phone app for data-driven diabetes self-management, working with the
development team on implementing the app and conducting an evaluation study.
The main skills we look for include user-centered research and design, qualitative
methods, and experimental design and analysis. Our particular interest is designing
novel interactive interfaces for facilitating discovery with self-monitoring data.

The post-doc in data science will work closely with Dr. Albers inventing, developing,
and adapting computational methods for forecasting, pattern recognition, clustering
and signal processing using self-monitoring data. The scientific problems address
discovery and prediction of associations between different characteristics of
measured daily activities and glycemic control. The main skills for this post-doc
include statistical signal processing, data assimilation, biological modeling,
stochastic processes, and generally machine learning. Moreover, the applicant must
have the ability to code in languages such as Matlab, Python, R or C.

In addition to working on an exciting project, the post-docs will have an opportunity
to participate in a variety of activities at the leading department of biomedical
informatics, including attending research seminars, participating in meetings of
various research groups, attending conferences, and taking part in other training
activities at the department.

To find out more, contact Lena Mamykina at [log in to unmask]<mailto:[log in to unmask]><mailto:[log in to unmask]>

Lena Mamykina, Ph.D.
Assistant Professor
Department of Biomedical Informatics
Columbia University
622 W. 168th Street, PH-20
New York, NY 10032

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