Data Applications Engineer – RShiny Experience

Location: Norcross, Ga


Contribute broadly to the Applied Research team, responsible for advanced analytics and new technology development focused on surgical workflow and performance for next generation robotic surgery platforms.

The successful candidate must excel in a high-energy, focused, small-team environment, be able to initiate and drive new research directions and have a commitment to high research quality. A strong sense of shared responsibility and shared reward is required.

Job Description:

  • Develop and support data visualization applications including embedded video streaming
  • Develop customized tools to spatially and temporally annotate data based on video review
  • Support integration of database with large analysis environments
  • Test and maintain large databases of videos, system data and meta data
  • Work closely with research data scientists throughout analysis, visualization and modeling efforts
  • Support multiple engineering and analytics teams in accessing data
  • Support research pilot studies
  • Work with product development teams to bring data products to market
  • Continuously explore optimal database designs, storage solutions and analysis environments


  • M.S. in Computer Science, Software/Computer Engineering or Applied Math, or B.S. degree with minimum 3 years industry experience developing data visualizations
  • Experience with R, Python and Matlab is required
  • Experience with R Shiny visualization framework is required
  • Proficient in Postgres and/or SQL-based technologies is required
  • Experience with database design and management is required
  • Experience with AWS cloud storage, hosting and compute environments is ideal
  • Experience with Phython web frameworks such as Django or Flask or other open source frameworks is ideal
  • Interested in early research and development/prototype efforts
  • Demonstrate excellent communication skills both written and verbal
  • Ability to travel domestically and internationally (10-20%)