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Computer Programmer

Job in Cary, Wake County, North Carolina, 27518, USA
Listing for: GAP SOLUTIONS INC
Full Time position
Listed on 2026-09-02
Job specializations:
  • Software Development
    Software Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 150000 USD Yearly USD 100000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Computer Programmer (51696)

Job Details

Level: Experienced

Job Location:

National Institutes of Health
- Research Triangle Park NIEHS
- Research Triangle Park, NC 27709

Position Type:
Full Time

Education Level: Bachelors Degree

Salary Range: $ - $ Salary/year

Travel Percentage:
None

Job Shift: Day

Job Category:
Public Health

Position Objective:
The Computer Programmer will independently provide support services to satisfy the overall operational objectives of the National Institute on Environmental Health Sciences (NIEHS) within the National Institutes of Health (NIH). Specifically, this position will support efforts by the NIEHS Office of Data Science to advance the application of scientific data towards improving public health.

Duties and Responsibilities
  • Develop scientific web- and data-centric applications for collecting, processing, managing, analyzing, and visualizing scientific data
  • Deploy web and software applications to servers, including on Linux systems using Docker
  • Deploy applications to systems using Docker
  • Document in-house software and documentation for training and reference purposes
  • Support and troubleshoot Shiny and Django deployments and Docker image builds
  • Perform various Linux sysadmin tasks associated with deploying and customizing web and scientific application deployments
  • Analyze and visualize biomedical data eg, transcriptomics using tools such as Partek, JMP, BMDExpress and Cytoscape
  • Visualize data using ggplot2 and plotly
  • Develop custom analysis pipelines using drake and other pipeline technologies
  • Produce automated reports in R markdown using knitr and pandoc
  • Monitor, evaluate, test, report on, and provide critical assessment of emerging technologies, approaches, and tools relevant to the ODS mission
  • Develop scientific applications using R, Shiny andor Python
  • Develop web applications to Linux servers
  • Deploy applications to systems; manage library dependencies
  • Use analytic methods to solve real world problems
  • Analyze and write statistical computer code
  • Collaborate with staff to develop, test, refine and apply advanced statistical and computational methods
  • Evaluate new analytic methods and software and adapt them if necessary
  • Work with staff to develop, test and refine novel programming methods, toolkits, and algorithms
  • Design and implement computer solutions to novel experimental paradigms
  • Conceive of and create data processing pipelines that allow for the efficient movement, pre-processing and display of data
  • Provide technical experience reviewing, analyzing, and modifying existing programming systems
  • Provide scientific research and programming support for cutting edge technology and training in the areas of bioinformatics and computational biology
  • Maintain and monitor applications, databases, or software tools
  • Test and install the software updates
  • Documents all assignments and creates various reports as needed.
  • Maintain and follow SOPs, configuration management, upgrades and availability
  • Provide written technical descriptions of implemented algorithms; contribute to the publication of the labs software and research
  • Writes and maintains program documentation.
  • Maintain and follow SOPs, configuration management, upgrades and availability
  • Provide written technical descriptions of implemented algorithms; contribute to the publication of the labs software and research
  • Manage and troubleshoot deployments and image builds
  • Develop new code and refine troubleshoot existing code
  • Troubleshoot scripts and programs to ensure successful use of said scripts and programs
  • Document in-house software for training and reference purposes
  • Provide support for development of methods in data science
  • Work with staff on literature reviews of analytic methods that have been applied across a broad range of scientific fields in order to identify the most useful methods to be applied
  • Implement improvements to development activities to speed development of applications, databases, or software tools
  • Plan, build and maintain applications to meet end users need
  • Work with investigators to design the prototypes and implement the systems to support various in-house research projects
  • Troubleshoots any issues or problems and implements appropriate corrective actions.
  • Manage and…
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