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    Computer Systems Analyst-Baltimore, MD - Noralogic Inc

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    Description
    Greetings,

    Hope you are safe and Healthy .

    Please find below job description & let me know if it matches with your job profile. Please share your updated resume copy along with your contact number.

    Job Role:
    Computer System Analyst


    Job location:
    On-Site


    Job Type:
    Baltimore, MD


    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.

    Minimum Education

    Bachelors

    Additional Qualifications

    Certifications & Licenses

    Preferred Master's Degree

    Skills (Ranked By Priority)

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

    LIMS
    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
    Field of Study

    Genetics


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


    STATEMENT OF WORK DETAILS


    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.
    Support and maintain scientific computer systems including hardware, operating systems, and associated services in a high-performance computing environment.

    1

    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
    Perform statistical analysis of experimental data obtained at various time points.

    2

    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 and test web applications.

    3

    Perform troubleshooting, interpretation of results and analysis.
    Utilize knowledge of data structure, data management and various programming language.
    Provide systems analysis and bioinformatics support for large scale sequencing projects.

    4

    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 algorithm development and implementation.

    5


    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.

    Regards,

    Ashish kumar

    US IT Recruiter Noralogic Inc.

    109 E 17th St, Cheyenne WY 82001

    \


    USA:
    WY, MD,


    Mexico:
    Guadalajara, Monterrey


    India:
    Noida UP


    WBE and MBE company


    ISO 9001:2015


    WY Top 50 Minority owned growing company
    #J-18808-Ljbffr


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