Senior Data Analyst

Closing Date:

The University of Arkansas for Medical Sciences (UAMS) has a unique combination of education, research, and clinical programs that encourages and supports teamwork and diversity. We champion being a collaborative health care organization, focused on improving patient care and the lives of Arkansans.

UAMS offers amazing benefits and perks (available for benefits eligible positions only):

• Health: Medical, Dental and Vision plans available for qualifying staff and family
• Holiday, Vacation and Sick Leave
• Education discount for staff and dependents (undergraduate only)
• Retirement: Up to 10% matched contribution from UAMS
• Basic Life Insurance up to $50,000
• Career Training and Educational Opportunities
• Merchant Discounts
• Concierge prescription delivery on the main campus when using UAMS pharmacy

Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click theApply link/button.

The University of Arkansas is an equal opportunity institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of age, race, color, national origin, disability, religion, marital or parental status, protected veteran status, military service, genetic information, or sex (including pregnancy, sexual orientation, and gender identity). Federal law prohibits the University from discriminating on these bases. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights.

Persons must have proof of legal authority to work in the United States on the first day of employment.

All application information is subject to public disclosure under the Arkansas Freedom of Information Act.

For general application assistance or if you have questions about a job posting, please contact Human Resources at askrecruitment@uams.edu.

Department's Website:

Minimum Qualifications:

• Master's Degree in health services research, statistics, mathematics, computer science, or health policy/economics or related field and 3 years of experience conducting statistical programming on large dataset ,experience extracting and preparing data for statistical analysis.
• Bachelor's Degree in health services research, statistics, mathematics, computer science, or health policy/economics or related field and 5 years of experience conducting statistical programming on large dataset , experience extracting and preparing data for statistical analysis.
• Data management with large, administrative datasets including healthcare claims data
• Manipulation of large datasets using advanced data management and statistical software such as SAS or SQL; experience using both would be preferred
• Use of advanced SAS functions to manipulate dates to create time-dependent analytical variables
• Use of statistical techniques, including univariate statistics, comparisons, and regression modeling
• Application, calculation, and interpretation of descriptive and inferential data

Preferred Qualifications:

• Healthcare cost and use analyses
• Knowledge and use of trusted national data sources (e.g., ACS, HCUP, MEPS)
• Health services research, such as healthcare quality, Medicaid eligibility, Medicaid/Medicare claims, health disparities, or chronic diseases
• CPT, ICD-9 Procedure, ICD-9 Diagnosis, HCPCS, DRG/MS-DRG, NDC, Type of Service, Place of Service, and other codes commonly utilized in healthcare data sets
• Knowledge of ArcGIS or other geographical coding programs to assist in health geocoding/mapping

Additional Information:

Key Responsibilities:

Statistical Programming and Analyses

• Develop complex and efficient data analytic and statistical programs to manipulate healthcare data to create research-ready datasets for empirical analyses.
• Import and longitudinally cross-link data from a variety of sources to develop research-ready analytic datasets.
• Import and integrate large, complex datasets using SAS, including administrative claims data and enrollment files from a variety of insurance payers.
• Execute basic descriptive and inferential statistical analyses.

Collaboration with others

• Communicate and collaborate with the Director of Research and Evaluation and the Assistant Director of Analytics on translating policy questions into initial analytic plans based on policy questions.
• Communicate and collaborate with project teams made up of other staff who possess data, policy, and other skillsets.

Technical Writing

• Create written data analytic plans with detailed data management procedures to transform raw healthcare data into research-ready analytic datasets.
• Write methodological components of technical reports following accepted protocols. Maintain detailed programming documentation for all projects, including annotated program code, dataset codebooks, and statistical output.

Research

• Identify relevant background information to inform analytic plans designed to answer policy-related questions.
• Identify new techniques and approaches to enhance current or future analytic reporting.

Salary Information:

Required Documents to Apply:

Please contact askrecruitment@uams.edufor any recruiting relatedquestions.

All application materials must be uploaded to the University of Arkansas System Career Sitehttps://uasys.wd5.myworkdayjobs.com/UASYS

Please do not send to listed recruitment contact.

This position is subject to pre-employment screening (criminal background, drug testing, and/or education verification). A criminal conviction or arrest pending adjudication alone shall not disqualify an applicant except as provided by law. Any criminal history will be evaluated in relationship to job responsibilities and business necessity. The information obtained in these reports will be used in a confidential, non-discriminatory manner consistent with state and federal law.