• Senior Research Analyst

    Posted Date 1 week ago(1/9/2019 3:57 PM)
    Requisition ID
    2018-57782
    Category
    Technical
    Position Type
    Regular Full-Time
    Department
    ACHI Health Policy Research
    Post End Date
    1/23/2019
  • Overview

    The Senior Research Analyst – Statistical Programmer will be part of a dynamic team contributing to and providing internal leadership on analytic research projects for ACHI’s policy efforts. In collaboration with the Director of Research and Evaluation, Assistant Director of Analytics, principal investigators, and other ACHI staff, the analyst 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 position will require the ability to manipulate medical claims data, including an all payer claims database, multiple large public and private health data sources, and numerous other data sources.

     

    This is a provisional position.  Provisional positions are funded by external grants or contracts with established end dates.  When the grant/contracts expires or are not extended, the provisional position will be eliminated.  Employees in provisional positions may apply for other positions at UAMS when their provisional position ends.

     

    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

    • 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.
    • 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 that include cross-representation from other staff with data, policy, and other skillsets.
    • 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.
    • 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

    Knowledge, Abilities, and Skills

    • Advanced knowledge and experience in the following areas are required:
      • Manipulation of large administrative claims datasets using advanced data management and statistical software such as SAS or SQL; experience using both would be preferred.
      • Use of statistical techniques including univariate statistics, comparisons, and regression modeling.
      • Use of Microsoft Office reporting products such as Word, PowerPoint, Excel, and Access.
    • Traits and Abilities in the following areas are required:
      • Self-motivated to learn and explore new and existing ideas
      • Think critically and strategically.
      • Work well independently and in a team environment.
      • Manage and prioritize multiple tasks/projects.
      • Work efficiently and meet deadlines.
      • Communicate well both verbally and in writing.
    • Experience in the following areas is preferred:
      • Base or Advanced SAS certification
      • Use of advanced SAS functions to manipulate dates to create time-dependent analytical variables
      • Health Services Research including Health Policy and Economics
      • Knowledge and use of trusted national data sources (e.g., ACS, HCUP, MEPS)
      • Knowledge of ArcGIS or other geographical coding programs to assist in health geocoding/mapping
      • 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

    Qualifications

    Minimum Qualifications:

    • Master’s Degree in health services research, statistics, mathematics, computer science or health policy/economics or related field.
    • 3 years of experience conducting statistical programming on large datasets.
    • Data management with large, administrative datasets including health care 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.
    • 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 of individuals with disabilities and protected veterans and is committed to excellence.

     

    This position is subject to a pre-employment criminal background check.  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.

    Physical Requirements

    Stand: Occasionally
    Sit: Frequently
    Walk: Occasionally
    Bend, crawl, crouch, kneel, stoop, or reach overhead: Occasionally
    Lift, push, pull, carry weight: 10 lbs or less
    Use hands to touch, handle, or feel: Continuously
    Talk: Occasionally
    Hear: Frequently
    Taste or smell: Never
    Read, concentrate, think analytically: Continuously
    Physical Environment: Inside Office Environment
    Noise Level: Quiet
    Visual Requirements: Far visual acuity, Near visual acuity
    Hazards: None

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