Computer Systems Analyst
Develop specialized computer software and high-performance computing solutions to analyze experimental imaging and simulation data for NIH research projects. Requires experience with machine learning, image analysis, statistical methods, and scientific computing support.
Responsibilities
- Collaborate with staff to increase the productivity and efficiency of data analysis using high-performance computing
- Develop dedicated and efficient computer software using state-of-the-art computer science approaches, including modern programming languages and code libraries, machine learning, cross-platform programming, and high-performance computing
- Automate data segmentation and data visualization
- Develop numerical model simulations and high-performance computing
- Perform image analysis, including deep convolutional neural networks
- Detect and analyze subcellular signaling events
- Participate in research projects by creating specialized computer software to effectively and automatically analyze experimental data, including imaging data generated by high-speed cameras, confocal microscopy, super-resolution SIM imaging, FIB-SEM imaging, MRI imaging, and numerical model simulations
- Develop customized software to detect and measure specific structures and events of interest for statistical analysis and testing specific hypotheses
- Provide technical experience needed to perform analyses, processing and user support of various computer systems using standard statistical procedures and techniques
- Provide project management guidance and assistance to specific projects and activities
- Provide statistical support to staff, including data analysis and the generation of tools for researchers to use
- Interface with staff as needed to gather project requirements, develop project plan with web team, and help execute plan
- Support and maintain scientific computer systems including hardware, operating systems, and associated services in a high-performance computing environment
- Set up and use various computer systems and software packages
- Perform statistical analysis of experimental data obtained at various time points
- Determine needs and provide IT support for computerized systems supporting activities
- Work with staff on the evolving infrastructure, data engineering pipeline, and data science stacks
- Perform quality assurance and quality control; troubleshoot issues with image analysis and quality
- Analyze results of the data that are collected during experimental studies; perform statistical analysis using statistical analysis software
- Prepare data and analysis for presentations and publication
- Prepare research data for presentation and manuscripts
- Interface with the statistical programming team to develop programming standards and assist the team with validation and change control documentation
Requirements
- Experience with high-performance computing
- Experience developing computer software using modern programming languages, code libraries, machine learning, cross-platform programming
- Experience with data segmentation, data visualization, numerical model simulations
- Experience with image analysis including deep convolutional neural networks
- Experience analyzing experimental data including imaging data from high-speed cameras, confocal microscopy, super-resolution SIM imaging, FIB-SEM imaging, MRI imaging
- Experience with statistical analysis and statistical analysis software
- Experience providing IT support for computerized systems
- Experience with data engineering pipelines and data science stacks
- Experience with quality assurance and quality control
Nice-to-Haves
- Project management experience
- Experience preparing data for presentations and manuscripts
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