M.S. in bioinformatics, biostatistics, or a related field and at least one year of related research training
Minimum of an advanced level proficiency with SAS/STATA
Minimum of 2 years experience working with large relational databases, processing large administrative healthcare data sets (medical service claims) and/or clinical record databases
Masters level or higher degree in health informatics, biostatistics, epidemiology, or health services research related fields
Proficiency in SQL/R
Experience with statistical modeling, machine learning or data mining.
Data visualization experience
About the Job
2-year grant funded appointment
This is a full-time P&A non-faculty appointment in the Carlson School of Management for an experienced data analyst with expertise using SQL/SAS/STATA to analyze administrative health claims data. The responsibilities of the analyst will be to program variables using health claims data, create analytical data sets 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.
The successful candidate will be expected to work independently under the general supervision of Dr. Pinar Karaca-Mandic, PhD Associate Professor in Department of Finance at the University of Minnesota College Carlson School of Management. The employee is not expected to have direct supervisory responsibilities but may be asked to assist in the supervision of student projects.
Programming - 60%
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.
Data maintenance - 15%
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.
Analytical Research Support - 10%
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/graphs for reports and manuscripts.
Administrative Support of Data - 10%
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.
Trainee Support - 5%
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.
About the Department
The Carlson School Finance Department focuses on understanding financial decisions, markets and institutions. Faculty research in these areas is internationally known and has been published in the best finance and economics journals. The department is committed to a quality teaching at the undergraduate, MBA MSF and PhD Level.
Medical Industry Leadership Institute (MILI) is within the Finance Department offers courses as well as other programming, outreach and research to advance leadership and market development in medical industry.
How To Apply
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