BIOVIA Pipeline Pilot Developer

Info Way Solutions LLC

  • Pleasanton, CA
  • 30+ days ago

    Highlights

    Enterprise System Integration: Connect Pipeline Pilot workflows directly with core life sciences and research data systems, including Electronic Lab Notebooks (ELNs), LIMS, chemical/biological registration databases, and Oracle/PostgreSQL data warehouses. Domain-Specific Data Handling: Apply specialized component collections (e.g., Cheminformatics, Bioinformatics, or Reporting) to clean, analyze, and visualize complex scientific data types, such as molecular structures, assay data, or high-throughput screening arrays.

    Numbers & Facts

    LocationPleasanton, CA

    Description

    BIOVIA Pipeline Pilot Developer.

    Protocol Development & Automation: Design, build, and optimize end-to-end visual data workflows (protocols) and reusable subprotocols within the BIOVIA Pipeline Pilot environment to automate complex data processing tasks.
    Custom Component Scripting: Write high-performance, custom calculations and data manipulation logic utilizing PilotScript, as well as integrating external scripts written in Python, R, Perl, or SQL.
    Enterprise System Integration: Connect Pipeline Pilot workflows directly with core life sciences and research data systems, including Electronic Lab Notebooks (ELNs), LIMS, chemical/biological registration databases, and Oracle/PostgreSQL data warehouses.
    Web Services & Deployment: Package intricate computational pipelines into user-friendly interactive web reports, dashboards, and REST/SOAP web services for non-technical research scientists and business teams.
    Domain-Specific Data Handling: Apply specialized component collections (e.g., Cheminformatics, Bioinformatics, or Reporting) to clean, analyze, and visualize complex scientific data types, such as molecular structures, assay data, or high-throughput screening arrays.
    Performance Optimization: Troubleshoot, debug, and fine-tune existing pipelines to improve data throughput, handle massive parallel datasets efficiently, and ensure server-side stability.

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