Information Systems Staffing

Job Details

203566 - Clinical Programmer
This newly opened Clinical Programmer position will be responsible for extracting and transforming relevant data stored in unstructured clinical notes from a variety of electronic health information systems using Natural Language Processing (NLP) tools and techniques. This position will require a significant level of collaboration with other programmers and engineers on the Center for Clinical Data Analysis (CCDA) team. It will also require working closely with our clientís Medical Director/Honest Broker on specific projects and techniques. This position will also require working closely with research customers to discern their needs and to understand and address changes that arise from end user acceptance testing. The Clinical Programmer will use Jira to document and track assignments. Data must be delivered in a secure manner, following all applicable institutional policies and State and Federal regulations for privacy, security, and the conduct of human subject research. Required skills include experience using open source or proprietary NLP tools such as Python Natural Language Tool Kit; strong analytical thinking and problem solving skills; experience with programming languages (Python, Java, and/or C++); and development experience in at least one scripting language (PHP, Perl, Python, etc.). Preferred skills include experience with clinical data, particularly with mining data from one or more of the following systems: Epic, EPR2020, Sunrise Clinical Manager, DataMart/CaseMix; experience in text mining, natural language processing techniques, clustering, text classifiers, advanced text parsing, parts of speech tagging, semantic analysis, and machine learning (highly desired); coursework in Data Science and/or Machine Learning; experience using R, SAS, or a Python stack including Numpy, Scipy, Scikits, Spyder, Matplotlib, Flask, Bokeh; and SQL Server Management Studio experience, including compiling and scripting stored procedures, database mail, log analysis, optimizing/analyzing indexes. Salary dependent upon experience. (203566NF060717)

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