BD2K-LINCS Data Coordination and Integration Center (DCIC) Summer Research Training Program in Biomedical Big Data Science
About the Center:
The BD2K-LINCS DCIC is part of the Big Data to Knowledge (BD2K) NIH initiative, and it is the data coordination center for the NIH Common Fund's Library of Integrated Network-based Cellular Signatures (LINCS) program.

About the Program:
The Summer Research Training Program in Biomedical Big Data Science sponsored by the BD2K-LINCS Data Coordination and Integration Center (DCIC) is a research intensive ten-week training program in the Ma’ayan Laboratory at the Icahn School of Medicine at Mount Sinai (New York, NY) for undergraduate and graduate students interested in participating in cutting edge research projects aimed at solving data-intensive biomedical problems. While training in the Ma’ayan Laboratory, summer fellows conduct faculty-mentored independent research projects in the following areas: data harmonization, machine learning, cloud computing and dynamic data visualization.

Program Requirements:
Applicants must be 1) a U.S. citizen or a U.S. permanent resident; 2) an undergraduate or graduate student in good academic standing. Students must be willing to work 40 hours per week and take part in all program activities (e.g., weekly meetings, enrichment lectures, poster sessions and presentations) in addition to their mentored research work.

Application Deadline: February 1, 2019 at 12 Midnight Eastern Time

Application Process:
STEP 1: Please complete and submit this application form. A confirmation page will be presented upon successful submission.
STEP 2: Email your resume and an unofficial copy of your school transcripts in pdf format to Sherry Jenkins, Program Manager at bd2k.lincs.training@gmail.com.
STEP 3: Please have your recommender email a letter of recommendation on your behalf directly to Sherry Jenkins, Program Manager at bd2k.lincs.training@gmail.com.

Application review process will begin February 2019.

Overview of the BD2K-LINCS Data Coordination and Integration Center
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