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Data Technician (8771097)

In this role, you will be responsible for producing a large-scale data corpus by running data through a research software pipeline. You have experience creating custom software as well as integrating with existing software APIs. You thrive in a team environment, have high attention to detail. You are an excellent communicator and have an eye for identifying systematic causes of error, and regularly solicit feedback from others to further develop and quickly iterate on your designs. You are willing to jump in and help wherever you can. You have experience developing visualization systems, that show the health/current state of a project as well as experience working with data annotation software.

  • Running data pipelines to create data corpus
  • Identify, organize, and triage system failure modes.
  • Maintain high quality, robust, reusable and scalable software to support research efforts.
  • Collaborate with Research Scientists, Research Assistants, Software Engineers, and other stakeholders to specify and design user facing tools to support research studies.
  • Support and maintain internal tools for data annotation.
  • Support data processing pipelines.


  • Sc or M.Sc in Computer Science or a related field
  • 2+ years professional software development.
  • Experience developing software in C or C++
  • Experience developing software in Python
  • Experience working in a Linux environment
  • Experience with software engineering practices such as source control, code reviews, and unit tests.


Additional Skills and Experience

Candidates with experience in any of the following areas are highly desired:

  • PHP, JavaScript, web development
  • Distributed Systems
  • Software Quality Assurance
  • Developing visualization systems
  • Developing annotation or data labeling tools
  • User interface development
  • 3D computer graphics
  • Database Systems
  • Maya plugin development
  • Experience working in a research environment
  • Sc or M.Sc in Computer Science or a related field
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