Scientific Application Developer
GAP Solutions, Inc.
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Triangle, NC
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0
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Not Applicable
Posted April 5, 2026
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Responsibilities
Commitments
Responsibilities
- Use advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems
- 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
- Develop scientific applications using R, Shiny and or Python
- Test and maintain software products to ensure strong functionality and optimization
- Maintain and monitor applications, databases, or software tools
- Collaborate with staff to develop database application and tools for supporting bioinformatics and scientific computing research projects
- Provide written technical descriptions of implemented algorithms; contribute to the publication of the labs software and research
- Provide written technical descriptions of implemented algorithms; contribute to the publication of the labs software and research
- Develop new code and refine troubleshoot existing code
- Plan, build and maintain applications to meet end users need
- Provide support for development of methods in data science 5
- Develop new code and refine troubleshoot existing code 4
- Develop and implement new or major revisions to applications, databases, or software tools 3
- Develop and implement new or major revisions to applications, databases, or software tools 2
- Visualize data using ggplot2 and plotly 1
- Meet with lab members to present updates - Weekly
- Provide code updates through git based repositories - Ad-Hoc
Commitments
Meet with lab members to present updates - Weekly
Not Met Priorities
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Requirements
- Use advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems
- 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
- Develop scientific applications using R, Shiny and or Python
- Test and maintain software products to ensure strong functionality and optimization
- Maintain and monitor applications, databases, or software tools
- Collaborate with staff to develop database application and tools for supporting bioinformatics and scientific computing research projects
- Provide written technical descriptions of implemented algorithms; contribute to the publication of the labs software and research
- Provide written technical descriptions of implemented algorithms; contribute to the publication of the labs software and research
- Develop new code and refine troubleshoot existing code
- Plan, build and maintain applications to meet end users need
- Provide support for development of methods in data science 5
- Develop new code and refine troubleshoot existing code 4
- Develop and implement new or major revisions to applications, databases, or software tools 3
- Develop and implement new or major revisions to applications, databases, or software tools 2
- Visualize data using ggplot2 and plotly 1
- Provide code updates through git based repositories - Ad-Hoc
Position Objective: Provide services as a Scientific Application Developer in support of the overall functions of the National Institute of Environmental Health Sciences (NIEHS) within the National Institutes of Health (NIH).
Duties And Responsibilities
Use advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems
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
Develop scientific applications using R, Shiny and or Python
Test and maintain software products to ensure strong functionality and optimization
Maintain and monitor applications, databases, or software tools
Collaborate with staff to develop database application and tools for supporting bioinformatics and scientific computing research projects
Provide written technical descriptions of implemented algorithms; contribute to the publication of the labs software and research
Provide written technical descriptions of implemented algorithms; contribute to the publication of the labs software and research
Develop new code and refine troubleshoot existing code
Plan, build and maintain applications to meet end users need
Provide support for development of methods in data science 5
Develop new code and refine troubleshoot existing code 4
Develop and implement new or major revisions to applications, databases, or software tools 3
Develop and implement new or major revisions to applications, databases, or software tools 2
Visualize data using ggplot2 and plotly 1
Meet with lab members to present updates - Weekly
Provide code updates through git based repositories - Ad-Hoc
Duties And Responsibilities
Use advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems
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
Develop scientific applications using R, Shiny and or Python
Test and maintain software products to ensure strong functionality and optimization
Maintain and monitor applications, databases, or software tools
Collaborate with staff to develop database application and tools for supporting bioinformatics and scientific computing research projects
Provide written technical descriptions of implemented algorithms; contribute to the publication of the labs software and research
Provide written technical descriptions of implemented algorithms; contribute to the publication of the labs software and research
Develop new code and refine troubleshoot existing code
Plan, build and maintain applications to meet end users need
Provide support for development of methods in data science 5
Develop new code and refine troubleshoot existing code 4
Develop and implement new or major revisions to applications, databases, or software tools 3
Develop and implement new or major revisions to applications, databases, or software tools 2
Visualize data using ggplot2 and plotly 1
Meet with lab members to present updates - Weekly
Provide code updates through git based repositories - Ad-Hoc