Data Engineer

Overview

Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).

Axle is seeking a Data Engineer to join our vibrant team at the National Institutes of Health (NIH) supporting the National Institute of Environmental Health Sciences (NIEHS) located in Durham, NC.

Benefits We Offer:

• 100% Medical, Dental & Vision Coverage for Employees
• Paid Time Off and Paid Holidays
• 401K match up to 5%
• Educational Benefits for Career Growth
• Employee Referral Bonus
• Flexible Spending Accounts:
  • Healthcare (FSA)
  • Parking Reimbursement Account (PRK)
  • Dependent Care Assistant Program (DCAP)
  • Transportation Reimbursement Account (TRN)

Overall Position Summary and Objectives

​This position will support efforts by the NIEHS Office of Data Science to advance the application of scientific data towards improving public health by developing and applying systems and tools for capturing, organizing, analyzing, and visualizing biomedical research data. 

Work Details:

• Work with staff to improve efficiency of the current data processing by creating new programming approaches. 1
• Participate in relational database schema design and engineering in order to optimize performance and flexibility. 2
• Write custom code in scripting language for the automation of data transfer, storage, and backup. 3
• Work with staff on data retrieval from various data sources. 4
• Develop and implement new or major revisions to applications, databases, or software tools. 5
• Provides technical experience needed to assist in reviewing, updating, analyzing and modifying existing programming systems.
• Use analytic methods to solve real world problems.
• Apply a variety of statistical and computational techniques to solve complex analytic problems.
• 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
• Support the development and customization of scientific data and knowledge management systems
• Encodes, tests, debugs and installs new programs using various programming languages.
• Develop scientific applications using R, Shiny and/or Python.
• Develop web applications to Linux servers.
• Deploy applications to systems; manage library dependencies.
• Analyze and write statistical computer code.
• Collaborate with staff to develop, test, refine and apply advanced statistical and computational methods.
• Develops and schedules data backups, security patches or upgrades, etc.
• Maintain and monitor applications, databases, or software tools.
• Test and install the software updates.
• Collaborate with staff to develop database application and tools for supporting bioinformatics and scientific computing research projects.
• Documents all assignments and creates various reports as needed.
• Develop Standard Operating Procedures (SOPs) to detail all steps and activities carried out for all aspects of the program data management.
• Provide feasibility studies and research for compatibility and ease of scientific databases use by researchers for extensive scientific data analyses
• Provide written technical descriptions of implemented algorithms; contribute to the publication of the lab’s software and research.
• Writes and maintains program documentation.
• Prepare roadmaps, schedules, status reports, plans and recommendations.
• Provide written technical descriptions of implemented algorithms; contribute to the publication of the lab’s software and research.
• Design, develop and deploy software for multi-core and high-performance computing systems.
• Documents programming problems and resolutions for future reference.
• 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.
• Provides assistance with planning, building and maintaining applications to meet an end user's needs.
• 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.
• 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.
• Provides guidance and problem resolution for users.
• Develop and implement new or major revisions to applications, databases, or software tools.
• Evaluates impact of programming modifications.
• Implement improvements to development activities to speed development of applications, databases, or software tools.
• Implement improvements to operations.
• Refines data and formats final product.

1, 2, 3, 4, 5 represents priority rankings, where 1 is highest priority and 5 is lowest priority of those ranked

Please note that this position will be onsite in Durham, NC; candidates needing to relocate will not be compensated for any relocation expenses. This position does not provide visa sponsorship.

Minimum Education

Bachelor's

  Software

• Javascript
• Python
• HTML5
• Linux

  Skills

• Scientific Data analysis
• Data visualization
• Machine learning
• Data annotation
• Data cleaning

Disclaimer:The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com