<p>Summary of Position:<br /> This is a full-time P&A non-faculty appointment in the College of Pharmacy for an experienced data analyst with expertise using SAS to analyze administrative health claims data. The responsibilities of the analyst will be to program variables using health claims data, create analytical datasets to support observational research studies, maintain supporting documentation related to programming, assist with statistical analyses, and provide quality assurance related to the storage and acquisition of new data. To a lesser extent, the position will also include supporting the programming needs of the supervisor’s graduate students, fellows, and other trainees.<br /><br />Principal Duties and Responsibilities:<br /><br />60 % Programming<br /> A successful candidate will be accountable for creating and justifying analytical data sets and methods to support research projects using health claims and other secondary data sources. This will include the application of cohort screening criteria, the creation of variables, data transformation and source code/data dictionary management.<br /><br />15 % Data maintenance<br /> This person will be responsible for maintaining a number of data sets by loading and warehousing data onto secure servers, ensuring that new data sources are appropriately screened for anomalies, and ensuring routine quality assurance checks of data are completed.<br /><br />10 % Analytical Research Support<br /> The ideal candidate will be able to run statistical models using methods provided under the direction of a supervisor. Specific responsibilities include providing statistical output, using programming statements to run statistical models, and formatting statistical output into usable tables for reports and manuscripts.<br /><br />10 % Administrative Support of Data<br /> The programmer will have minimal administrative responsibilities related to the acquisition and maintenance of data. This includes assisting with the completion of Data Use Agreements required to acquire data, maintaining an inventory of data sources and corresponding personnel access to data, creating data dictionaries related to the creation of analytical data sets, and assisting with data specific documentation on IRB applications and resulting reports. The programmer will complete their work in compliance with data use agreements and any corresponding confidentiality requirements.<br /><br />5 % Trainee Support<br /> Provide consulting and programming support to graduate students, postdoctoral research fellows, and other trainees to enable access to data and assistance with data management on student projects.<br /><br />Supervision:<br /> The successful candidate will be expected to work independently under the general supervision of Dr. Joel F. Farley, PhD Professor of Pharmaceutical Care and Health Systems at the University of Minnesota College of Pharmacy. The employee is not expected to have direct supervisory responsibilities but may be asked to assist in the supervision of student projects.</p>
<p>Required Qualifications:</p><ul><li>M.S. in bioinformatics, biostatistics, or a related field and at least one year of related research training</li><li>Minimum of an advanced level proficiency with SAS</li><li>A minimum of 2 years experience working with large relational databases, processing large administrative healthcare datasets (medical service claims) and/or clinical record databases</li></ul><p>Preferred Qualifications:</p><ul><li>Masters level or higher degree in health informatics, biostatistics, epidemiology, or health services research related fields</li><li>Proficiency in Stata and/or R</li><li>Experience with statistical modeling, machine learning or data mining.</li><li>Data visualization experience</li></ul><p>Working Conditions:<br />The majority of the work in this position is performed in a general office setting.</p>
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