Data Coordinator

Research in the Neurological Intensive Care Unit (NICU) in the Division of Neurocritical care at the Columbia University Irving Medical Center spans active clinical trials, epidemiological outcome studies, and signal processing / big data analytics of high-resolution physiological data and other biomarkers. The group applies machine learning tools to better understand the pathophysiology of acute brain injuries with a focus on disorders of consciousness and brain-computer interface development. The Data Coordinator will primarily be responsible for the preparation and support of the analysis of high-resolution data for research studies. Data preparation will include data cleaning and synchronization between the multiple data sources from physiologic data such as EE Gand archived data repositories in SQL, EPIC, and REDcap. The data coordinator will also assist as needed with epidemiological studies that depend on complex data querying and applying standard biostatistics., * Preparing data from electronic medical record sources

• Preparing data from high-resolution physiology data sources
• Data preparation for clinical trials and epidemiological outcome studies
• Database programming
• Supporting and performing signal processing, machine learning, predictive modeling, hypothesis testing, imputation, variable transformation techniques
• Supporting and performing exploratory data analysis and visualization
• Supporting and performing big data analytics of high-resolution physiological data and other biomarker data
• Supporting and performing cleaning/filtering of large, noisy datasets

• Bachelor's degree or equivalent in education and experience, * Master?s in computer science, or mathematical/statistical related field.
• Expertise in {statistical) software such as R, Matlab or Python and working knowledge of data management software such as Microsoft Excel.
• Experience with SQL / noSQL tools and languages
• Strong skills in health services research design, database development and management, and statistical programming required.
• Ability to clearly communicate statistical concepts to other scientists and non-scientists.