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Senior Data Analyst

Company: University of Arkansas System
Location: Little Rock
Posted on: May 8, 2024

Job Description:

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Institution Name:
University of Arkansas for Medical Sciences

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 the Apply link/button.

    The University of Arkansas is an equal opportunity, affirmative action 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.

    At UAMS we value Diversity, Equity and Inclusion.

    For general application assistance or if you have questions about a job posting, please contact Human Resources at

    CPH - EPI

    Department's Website:

    Summary of Job Duties:
    Faculty in the Department of Epidemiology at the College of Public Health are seeking a full-time Senior Data Analyst to join a molecular cancer epidemiologic research group. The major responsibilities include providing programming and data analysis support for molecular epidemiologic studies. The candidate must have previous work experience in the field of molecular cancer epidemiology. This senior data analyst will gather and analyze omic-based data, write and run basic statistical programs, develop flowcharts and programming specifications, write programs in various computer languages including C/C++, and create written and graphical reports for presentations and manuscripts. These tasks may also involve machine learning, data mining and organization, spatial analysis, writing and reviewing R or Python code-based tools, and generating visualizations and reports.
    • Master's degree plus three (3) years of experience in computer science, bioinformatics, molecular cancer epidemiology experience, or related experience or
    • Bachelor's degree plus five (5) years of experience in computer science, bioinformatics, molecular cancer epidemiology experience, or related experience required. Knowledge, Skills & Abilities:
      • Data management with large, omic-based datasets
      • Manipulation of large datasets using data management and analytic programming using statistical software such as SAS, R, and SQL
      • Use of statistical tools 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.
      • Excellent knowledge of SQL/PL SQL and store procedure program language and a good understanding of Oracle/Microsoft SQL Server database systems.
      • Proficiency in C/C++, visual basic, and html.
      • Manipulation of large datasets using statistical programming or advanced data management software, such as R, SAS, and SQL.
      • 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.
        • Well organized and able to exercise independent judgment and initiative ability to problem solve. Preferred Qualifications:
          • Bioinformatics and computational skills for large omic-based data collected in molecular epidemiologic studies.
          • Knowledge and use of national data sources (e.g., TCGA, ACS, HCUP, MEPS).
          • Application development experience with the Microsoft .NET framework. Additional Information:

            • Serve as the group team lead in the collection and compilation of quality data for assigned registry, database, or indicator set.
            • Assist the Principal Investigator (PI) in maintaining data from ongoing population-based projects in an external or internally built database and ensure all data is entered accurately and according to specifications.
            • Supervises the development of any additional internal database including the composition of, and adherence to, the associated specification documents.
            • Conduct ongoing data analysis and evaluation to identify biomarkers and other factors associated with cancer risk, progression, and survival.
            • Utilize visual graphical tools and data displays to provide interpretation ease and meaningful conclusions and employ more advanced statistical tools and analysis, when appropriate.
            • Design and implement formal quality assurance processes to assure data accuracy and develop action plans for any data quality issues.
            • Collaborate with research and analytic team as well as across teams on translating research and analytic questions into initial analytic plans based on research and analytic questions.
            • Work with the PI to create written data analytic plans with detailed data management procedures to transform molecular epidemiologic data into research-ready analytic datasets.
            • Draft methodological sections of technical reports following accepted protocols.
            • Maintain detailed programming documentation for all projects, including annotated program code, dataset codebooks, and statistical output.
            • Perform other duties as assigned.

              Salary Information:
              Salary is commensurate with education and experience.

              Required Documents to Apply:
              Curriculum Vitae, Resume

              Optional Documents:

              Special Instructions to Applicants:
              All applicants must upload a resume/CV to be considered for the position.

              Recruitment Contact Information:

              Please contact for any recruiting related questions.

              All application materials must be uploaded to the University of Arkansas System Career Site

              Please do not send to listed recruitment contact.

              Pre-employment Screening Requirements:
              No Background Check Required

              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.

              Constant Physical Activity:
              Frequent Physical Activity:
              Occasional Physical Activity:
              Manipulate items with fingers, including keyboarding, Sitting, Standing, Talking, Walking
              Benefits Eligible:

Keywords: University of Arkansas System, Little Rock , Senior Data Analyst, Professions , Little Rock, Arkansas

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