Computer Systems Analyst - Axle

Position Information:

The purpose of this position is to assist NIA Computer Systems Analyst and tasks to include but not limited to: 

• 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 coed libraries, machine learning, cross-platform programming, and high-performance computing, including:

• Automating data segmentation and data visualization

• Developing numerical model simulations and high-performance computing

• Performing generating image analysis, including deep convolutional neural networks

• Detecting and analyzing subcellular signaling events

• Participate in research projects by creating specialized computer software to effective and automatically analyze experimental data, including imaging data generated by different imaging techniques such as high-speed cameras, confocal microscopy, super-resolution SIM imaging, FIB-SEM imaging, MRI imaging as well as data generated by numerical model simulations

• Develop customized software to detect and measure specific structures and events of interest for statistical analysis and testing specific hypotheses

• Provides 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 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

• Sets up and uses various computer systems and software packages:

• Collaborate with staff to increase the productivity and efficiency of data analysis using high-performance computing

• 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

• Compiles and manages data and assists with quality control:

• 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

• Produces various reports, graphs and figures for presentation:

• 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  

Deliverables:

• Work products and documents related to increasing the productivity/efficiency of data analysis using high-performance computing. - Ad-Hoc

• Work products and documents related to developing dedicated and efficient computer software using state-of-the-art computer science approaches, including modern programming languages and coed libraries, machine learning, cross-platform programming, and high-performance computing. - Ad-Hoc

• Work products and documents related to automating data segmentation and data visualization; developing numerical model simulations and high-performance computing; performing/generating image analysis, including deep convolutional neural networks; detecting and analyzing subcellular signaling events. - Ad-Hoc

• Work products and documents related to creating specialized computer software to effectively and automatically analyze experimental data, including imaging data generated by different imaging techniques. - Ad-Hoc

• Work products and documents related to developing customized software to detect and measure specific structures and events of interest for statistical analysis and testing specific hypotheses. - Ad-Hoc

• Clean Equipment - Weekly

• Run Validation - Weekly

• Inspect Equipment - Weekly

• Meet with lab members to present updates - Weekly