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Research Data Analyst

Job ID : 36826

Location : Houston, TX

Company Name : Emblue

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary : $25000 - $35000  per year

No. of Positions : I have ongoing need to fill this role

Required Skills : Critical thinking, Data cleansing, Statistics..

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance

Job Description :


  • Working with CCHE investigators to identify appropriate statistical methods to address research hypotheses and conducting statistical analyses accordingly.
  • Creating analytic datasets by merging, cleaning, and coding data from multiple sources, including behavioral surveys, electronic health records, and public health surveillance.
  • Documenting source code and data management and analysis procedures.
  • Preparing tables and figures for manuscripts, abstracts, and other scientific publications.
  • Contributing to the writing of statistical methods sections for manuscripts and other publications, with opportunities for authorship available.
  • Presenting results of statistical analyses to researchers, colleagues, and funders, including formal presentations at conferences.
  • Participating in regular meetings with CCHE research staff and data analysts to discuss proposed analyses, share code and analytic approaches, and discuss data and/or methodological challenges as they arise.
  • Providing assistance with power calculations and proposed analytic strategies for new grant proposals.
  • Depending on expertise and experience, the candidate may provide critical methodological evaluation of newly proposed research designs and suggest design improvements and statistical analysis plans.
  • Analyzes moderately complex data sets for the purpose of extracting and purposefully using applicable information.
  • Provides professional support to staff or faculty members in defining the project and applying principals of data science in manipulation, statistical applications, programming, analysis and modeling.

Key Skills:

  • Data visualization.
  • Problem solving.
  • Communication skills.
  • SQL.
  • Machine learning.
  • Critical thinking.
  • Data cleansing.
  • Statistics.

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