R&D / Validation Engineer

Inteldot

  • 14 days ago

    Highlights

    Data Analysis & Technical Reporting: Ability to analyze experimental data, troubleshoot results, prepare technical reports, and collaborate cross-functionally with engineering, Process Development, and R&D teams. Completes complex data analysis; identifies and proposes solutions to problematic data; solves basic issues independently at an appropriate level; compares results with historical data.

    Numbers & Facts

    Location

    Description

    InteldotĀ has over 15 years in the life sciences industry, with operations across Puerto Rico, the United States, Europe, and Japan. This is a great opportunity for one of our leading clients in Puerto Rico.

    Administrative shift


    Position Summary

    We are seeking an Engineer with appropriate scientific/engineering experience to provide independent technical support through experiment execution and analysis as part of a project team. Builds scientific knowledge and concepts within and across disciplines surrounding core business principles.

    Key Responsibilities

    • Support equipment validation (IQ) and tool qualification activities (TQF)
    • Responsible for reviewing and developing equipment validation protocols and reports. Support other functional areas during the validation activities.
    • Has SolidWorks knowledge and be capable of designing, updating and reviewing tools and fixtures to satisfy test methods and products necessities.
    • Work with the Process Development and team to efficiently qualify new processes; assist on statistical sampling plans, and other development procedures.
    • Design and develop in-process and receiving quality systems for new processes and components.
    • Generate equipment documentation, such as equipment entries, evaluations, PM and calibration procedures, as required.
    • Define gages, tools and equipment for the test methods developed.
    • Generate manufacturing instructions for new test methods being developed.
    • Work cross-functionally with other departments to accomplish PD and R&D tasks.
    • Remains knowledgeable of technologies (including relevant literature) within functional area and may identify new applications for existing technologies (e.g. assays, equipment, systems, etc.).
    • Supports, research, and tests new technologies and targets for research within functional area.
    • May design/document experiments/protocols (e.g. DOE) of limited complexity to align with project goals with support from senior technical staff; executes independently within functional area.
    • Completes complex data analysis; identifies and proposes solutions to problematic data; solves basic issues independently at an appropriate level; compares results with historical data.
    • Summarizes results, generates technical reports, completes experimental paperwork/lab notebook documentation, and may peer review experimental documentation.
    • Proposes and develops methods and processes independently or under minimal direction from senior technical staff.
    • Participates as an extended team member primarily for experimental execution and secondarily as a scientific consultant for projects of limited complexity.
    • Performs multiple experimental techniques and processes according to functional area.
    • Identifies what resources are required to meet project milestones; makes recommendations to team leader for project resource needs within function.


    Qualifications Required

    • Education & Experience: Bachelor's degree in Engineering or a related scientific field, with minimun three (3) years of experience in equipment validation, process development, or R&D.
    • Equipment Validation & Documentation: Experience developing and reviewing IQ protocols, equipment qualification documentation, validation reports, and maintenance/calibration procedures.
    • CAD & Equipment Design: Proficiency in SolidWorks for designing, updating, and reviewing tools, fixtures, and equipment.
    • Process Development & Quality Systems: Knowledge of process qualification, statistical sampling plans, quality systems, manufacturing instructions, and experimental methodologies such as DOE.
    • Data Analysis & Technical Reporting: Ability to analyze experimental data, troubleshoot results, prepare technical reports, and collaborate cross-functionally with engineering, Process Development, and R&D teams.



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