Summary

The Division of Cardiothoracic Surgery is recruiting a Senior Clinical Research Associate to assist with managing the Aortic Surgery Patient Database, a database of 9,000+ patients and 15,000+ surgeries. The position will be responsible for using data exporting software (Qlikview) to output patient data from the aortic database, which will be used for drafting presentations, publications, and completing feasibility questionnaires for clinical studies. The Senior Clinical Research Associate will work closely with the Division of Cardiothoracic Surgery research team as well as medical students, residents, and faculty both within and outside the division to complete outcomes based research projects. 

Department/functional area specific tasks for this role will be supporting Division of Cardiothoracic Surgery research projects through managing the Aortic Surgery Patient Database, both ensuring that accurate data is maintained in the database and that this data is verifiable and accessible for export. The ideal candidate for the position will be highly competent in Microsoft Excel, experienced in completing statistical analysis, and will be a adept learner in picking up multiple data/statistics software programs (SPSS, R, Qlikview). 

Job Duties

• Engages in administrative contact and coordinator for national and international research studies. 
• Exports and formats data files, using Qlikview and Excel software, for the purposes of completing manuscripts and presentations for the division.
• Coordinates the software transition from BCM IT to Office of Research IT. 
• Utilizes Qlikview software to complete clinical study feasibility questionnaires for investigators in the division.
• Utilizes R and SPSS software to complete statistical analyses for manuscripts (survival, competing risk, and logistic regression analyses).
• Utilizes Epic and Chartmaxx software to abstract patient data into the Aortic Surgery Patient Database.
• Completes literature reviews for  the division's publications and presentations.
• Works with ResearchIT on continual improvements to the ASPD, and improving the data export process through a new reporting system to decrease use of Qlikview.

Minimum Qualifications

• Bachelor's degree.
• Four years of relevant experience.

Preferred Qualifications

• Master's degree in a related field.
• Advanced knowledge of Microsoft Office Excel, including basic statistical analysis, the use of formulas, conditional formatting, data merging, and preparation of data for presentation as statistical figures.
• Working knowledge of basic statistical programs to perform descriptive, comparative, and other analyses.
• Experience with data export, data transformation, and data merging.
• Ability to combine data to create composite variables.
• Coursework in statistics, biometry, or data analytics.
• Familiarity with basic anatomy and medical terminology.
• Ability to draft one or more paragraphs to describe project-specific statistical methods.
• Ability to transfer statistical results into academic manuscripts.
• Ability to process complex information to resolve data discrepancies through recognition of errors and formulating a troubleshooting process.