Computer Programmer (51696)

GAP SOLUTIONS INC•Durham, NC

7d•$100,000 - $150,000•Onsite

About The Position

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.

Requirements

Bachelor’s degree with a field of study in Life Sciences, Computer Science, Information Science, or similar
2 years of relevant experience

Nice To Haves

Ability to multi-task and pay close attention to detail.
Excellent analytical, organizational and time management skills.
Strong communication skills, both oral and written.

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.
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
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.
Provides guidance and problem resolution for users.
Support hardware and biological software by providing technical support to staff
Develop and implement new or major revisions to applications, databases, or software tools
Implement improvements to operations
Work with staff to improve efficiency of the current data processing by creating new programming approaches
Work with staff on data retrieval from various data sources