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What does a Research Associate do?

Develop or apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information. May specialize in fields such as bio-statistics, agricultural statistics, business statistics, or economic statistics. Includes mathematical and survey statisticians.

What are the Main Tasks of a Research Associate?

  • Report results of statistical analyses, including information in the form of graphs, charts, and tables.
  • Process large amounts of data for statistical modeling and graphic analysis, using computers.
  • Identify relationships and trends in data, as well as any factors that could affect the results of research.
  • Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
  • Prepare data for processing by organizing information, checking for any inaccuracies, and adjusting and weighting the raw data.
  • Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
  • Evaluate sources of information to determine any limitations in terms of reliability or usability.
  • Plan data collection methods for specific projects and determine the types and sizes of sample groups to be used.
  • Design research projects that apply valid scientific techniques and use information obtained from baselines or historical data to structure uncompromised and efficient analyses.
  • Develop an understanding of fields to which statistical methods are to be applied to determine whether methods and results are appropriate.
  • Supervise and provide instructions for workers collecting and tabulating data.
  • Apply sampling techniques or use complete enumeration bases to determine and define groups to be surveyed.
  • Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.
  • Develop and test experimental designs, sampling techniques, and analytical methods.
  • Examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data.
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