Scientific Application Developer

Scientific Application Developer

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). 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. 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.

Qualifications

Basic Qualifications :

Bachelor's Degree in Computer Programming or Computer Science

CompTIA Networking Certification

Experience with Python, R / Shiny, Groovy, Scikit-learn

Experience with Data Visualization and Software Development

Minimum Qualifications :

Ability to multi-task and pay close attention to detail

Excellent analytical, organizational and time management skills

Strong communication skills, both oral and written