Computer Systems Analyst

The purpose of this position is to support research within NIA-IRP including recording and cleaning data data analysis computer server maintenance website maintenance and software development and installation.

• Inspect Equipment - Weekly
• Meet with lab members to present updates - Weekly
• Patch and update server software - Monthly

• Support and maintain scientific computer systems including hardware operating systems and associated services in a high-performance computing environment. - 1
• Provide systems analysis and bioinformatics support for large scale sequencing projects. - 2
• Perform algorithm development and implementation. - 3
• Perform statistical analysis of experimental data obtained at various time points. - 4
• Develop and test web applications. - 5
• Provides technical experience needed to perform analyses processing and user support of various computer systems using standard statistical procedures and techniques.
• Provide statistical support to staff including data analysis and the generation tools for researchers to use.

• Provide support and consultation in the areas of scientific computation application-development and computer modeling.

• Design develop document analyze create test and modify computer systems programs and integrations.
• Sets up and uses various computer systems and software packages.
• Provide performance tuning hardware upgrades and resource optimization across the full range of scientific high-performance computing architecture.
• Provide software solutions across diverse scientific applications including large and complex multi-component resources.
• Collaborate with staff to increase the productivity/efficiency of data analysis using high-performance computing.
• Implement improvements to development activities to speed development of applications databases or software tools.
• 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.
• Develop custom computer applications for collecting and analyzing data including some that interface with commercial and custom built hardware.
• Perform troubleshooting interpretation of results and analysis.
• Utilize knowledge of data structure data management and various programming language.
• Manage data formatting input and output.
• 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.
• Drive collection of new data and the refinement of existing data.
• Produces various reports graphs and figures for presentation.
• Prepare data and analysis for presentations and publication.
• Present results in graphical using appropriate language.
• 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.
• Enhance efficient and effective presentation of information content images and graphics online and through the digital platforms.
• Trains users in applying systems and analysis methods.
• Plan organize and coordinate formal and informal IT related training and orientation of IT initiatives.
• Support and train users in applying data analysis pipelines and methods for research studies.
• Conduct educational courses on basic scientific computing data analysis scripts and pipelines.
• Consult and collaborate with users to explain new tools and enable them to be adapted to meet specific research needs.
• Maintains systems software as well as hardware and security configurations.
• Support and maintain commercial scientific software and freeware relevant to analyses and scientific discovery.
• Maintain system software hardware configuration and security as well as upgrade of the software as necessary to maintain security.
• Deploy security measures to maintain integrity of data.
• Maintains interface software between multiple computer environments to ensure smooth operation and communication.
• Perform routine audits of tracking database and packages.
• Collaborate with staff to increase the productivity/efficiency of data analysis using high-performance computing.
• Develops new programs and systems as needed.

• Design and maintain data analysis pipelines for research data.

• Develop customized software to detect and measure specific structures and events of interest for statistical analysis and testing specific hypotheses.
• Create specialized computer software to effectively and automatically analyze experimental data.
• 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.
• Develop scripts to automate data processing pipelines.
• Develop and implement new or major revisions to applications databases or software tools.
• Research new technologies standards and systems to improve existing products and websites.
• Coordinates data storage and mining.
• Manage a data storage and backup for scientific computers using available resources.

Certifications & Licenses

• Preferred Masters Degree

Field of Study

• Genetics

Software

• BioConductor
• Scikit-learn
• Javascript
• Matplotlib
• TensorFlow
• RMarkdown
• Ggplot2
• MongoDB
• PyTorch
• MATLAB
• Nodejs
• Oracle
• Pandas
• Plotly
• Python
• Scrapy
• SQLite
• Dplyr
• HTML5
• Keras
• Linux
• MySQL
• NoSQL
• NumPy
• SciPy
• Shiny
• PHP
• JavaScript
• STATA
• Bash
• HTML
• Java
• Perl
• SPSS
• Unix
• C
• Git
• SAS

Skills

• Scientific Data analysis
• Algorithm development
• Statistical modeling
• Database management
• Data visualization
• Data presentation
• Machine learning
• Data annotation
• Exome analysis
• Data cleaning
• Data analysis
• Data mining
• Research
• Scientific Computing using GPU
• Website Development Maintenance
• Imaging
• LIMS