• Senior Research Analyst

    Posted Date 4 weeks ago(4 weeks ago)
    Requisition ID
    2018-42586
    Category
    Hidden (8713)
    Position Type
    Regular Full-Time
    Department
    ACHI Health Policy Research
    Post End Date
    9/1/2018
  • Overview

    The Senior Research Analyst will contribute to and provide internal leadership on analytic research projects for ACHI’s policy efforts, and, in collaboration with other ACHI staff, will develop and implement advanced data and statistical analytics using private and public health care claims data and other health data to inform research on important health policy questions, as well as, cost and quality comparative studies for the State of Arkansas.

     

    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:

    • Health: Medical, Dental and Vision plans available for 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

    Salary:  Negotiable

    Responsibilities

    Statistical Programming and Analyses

    • Develop complex and efficient data analytic and statistical programs to manipulate health care 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. 

    Technical Writing

    • Create written data analytic plans with detailed data management procedures to transform raw health care 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.
    • Other duties as assigned.Qual

    Qualifications

    Minimum Qualifications:

    • Master’s Degree in health services research, statistics, mathematics, computer science or health policy/economics or related field and three (3) years of experience conducting statistical programming on large datasets required.
    • Data management, including manipulation, with large, administrative datasets including health care claims data, using advanced data management and statistical software such as SAS or SQL. 
    • 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.
    • Knowledge of ArcGIS or other geographical coding programs to assist in health geocoding/mapping

    Preferred  Qualifications:

    • Health care cost and use analyses
    • Knowledge and use of trusted national data sources (e.g., ACS, HCUP, MEPS)
    • Health services research, such as health care 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 health care data sets

     

    UAMS is an Affirmative Action and Equal Opportunity Employer and is committed to excellence.  Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or veteran status.

     

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