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    Scientific Data Engineer - Durham, United States - Veear

    Veear
    Veear Durham, United States

    2 weeks ago

    Default job background
    Description
    Deliverables:
    • Facilitate the implementation of software tools to be used by the entire division.
    • Build and maintain a repository of shared code for new and ongoing projects. - Quarterly
    • Contribute to team-science publications that describe new modeling applications. - Yearly
    Work Details:
    • Coordinate building bioinformatics infrastructure to ensure easy and meaningful scientific analysis and interpretation of data. 1
    • Collaborate with scientists to design, analyze, manage, and interpret all types of data. 2
    • Work with staff on the planning of experiments, and data analysis for internal and collaborative projects; use bioinformatics expertise to advise and help bench scientists on experimental design and troubleshooting. 3
    • Work with staff on the development and maintenance of bioinformatics tools, scripts, and pipelines for data. 4
    • Collaborate with biologists, statisticians, and/or other bioinformaticians in the design of models summarizing/explaining experimental data. 5
    • Provides programming and troubleshooting support to the Federal Government in the dissemination of research
    • Generate and optimize programs and scripts for the analysis of data; create programs and algorithms and develop computational infrastructure resources for organizing and parsing data from large and complex data.
    • Serve as bioinformatics expert and coordinate with teams of biologists to conduct experimental queries and/or perform portions of studies using complex procedures and techniques common to modern bioinformatics.
    • Records observations and reports results at weekly laboratory meetings data.
    • Performs computations on research data analysis.
    • Evaluates new types of experimental approaches to protocols based on knowledge of scientific literature, available facilities and research needs.
    • Identify new tools and resources for reaching biologically meaningful conclusions.
    • Independently coordinates the training of personnel in the use of scientific software applications, statistical software applications and programmatic software applications.
    • Provide training in and technical support (including product updates and version control) for programs, algorithms, archives, and pipelines generated during the course of this work.
    • Provide ad hoc trainings and hands-on workshops on the use of bioinformatics tools.
    • Initiates interdisciplinary collaborations with other research centers.
    • Work with an interdisciplinary team to apply computational data analysis approaches to make biological discoveries.
    • Deliver at least one presentation per year to audiences outside the government.
    • Attend group meetings; present findings; and author publications resulting from projects.
    • Present analysis results at research conferences and meetings.
    • Present scientific and technical data at scientific conferences.
    • Provide interpretive analyses of data derived from different experimental platforms to generate biological meaning.
    • Works with staff on scientific programming and experimental design.
    • Prepare scientific reports and progress reports; assemble data to prepare tables, graphs, and slides; conduct scientific and program-related information searches; and report results.
    • Provides statistical support/analysis on research data.
    • Devise Client methods of statistical analysis for the collected data.
    • Provides research/service goals in the context of the laboratory's overall mission.
    • Develop and optimize programs and scripts that facilitate organization, integration, and data-mining of large data sets; integrate these models into a framework of best practices.
    Minimum Education:
    • Masters
    Additional Qualifications:
    Certifications & Licenses:
    • Bioinformatics training
    Field of Study:
    • Information Sciences
    • Computer Programming and Data Processing
    • Mathematics
    Software:
    • Linux
    • Java
    • CSS
    • JavaScript
    • ArcGIS
    • PHP
    • R
    • Bash
    • GitHub
    • Python
    Skills:
    • Work with Large Data Sets
    • Pipeline Development
    • Data Quality Control
    • Data Harmonization
    • Algorithm Development
    • Statistical Modeling
    • Data Cleaning
    • Data Analysis
    • Research
    • Clinical and/or Translational Research
    • Machine Learning
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