Computer Systems Analyst

Axle•Baltimore, MD

15h•Onsite

About The Position

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 Computer Systems Analyst to join our vibrant team at the National Institutes of Health (NIH) supporting the NIA in Baltimore, MD or Rockville, MD.

Requirements

Assist NIA Computer Systems Analyst and tasks to include but not limited to:
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
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
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
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 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
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
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

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 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.