About The Position

The Tennessee Reading Research Center (TRRC) is conducting state-level evaluations of literacy initiatives and federally funded research to identify effective literacy instructional practices and improve the determination of students’ literacy outcomes. The research data technician will work under the supervision of the lead statistician to support the collection, organization, cleaning, and quality control checking of data. We are seeking a temporary Research Data Technician to support the TRRC’s state-level evaluations of literacy initiatives and federally funded research. Working under the supervision of the lead statistician, this position will support core research functions by using Excel to perform data management tasks as well as writing code in R and, at times, Python to assist with cleaning, concatenating, and preparing datasets. Responsibilities include generating CSV files, formatted Excel spreadsheets, and log files; producing descriptive statistics and formatted data tables in R; transferring data across platforms such as SQL databases and data repositories; and coordinating with data team members to conduct quality control checks. The technician also will support data documentation and open science efforts by maintaining accurate records of data processes, assisting in the development of codebooks and data dictionaries, and ensuring adherence to all data protocols and security requirements.

Requirements

  • Proficiency in Excel for data management tasks.
  • Experience writing code in R.
  • Experience writing code in Python (at times).
  • Ability to generate CSV files, formatted Excel spreadsheets, and log files.
  • Ability to produce descriptive statistics and formatted data tables in R.
  • Experience transferring data across platforms such as SQL databases and data repositories.
  • Ability to coordinate with data team members.
  • Ability to maintain accurate records of data processes.
  • Ability to assist in the development of codebooks and data dictionaries.
  • Understanding of data protocols and security requirements.

Responsibilities

  • Support the collection, organization, cleaning, and quality control checking of data.
  • Perform data management tasks using Excel.
  • Write code in R and Python to assist with cleaning, concatenating, and preparing datasets.
  • Generate CSV files, formatted Excel spreadsheets, and log files.
  • Produce descriptive statistics and formatted data tables in R.
  • Transfer data across platforms such as SQL databases and data repositories.
  • Coordinate with data team members to conduct quality control checks.
  • Support data documentation and open science efforts.
  • Maintain accurate records of data processes.
  • Assist in the development of codebooks and data dictionaries.
  • Ensure adherence to all data protocols and security requirements.

Benefits

  • Career development and coaching
  • Continued education
  • Extensive list of development and training possibilities
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