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R&D Digital Tools and Automation Specialist

Job in Tucson, Pima County, Arizona, 85718, USA
Listing for: ChatGPT Jobs
Full Time position
Listed on 2026-02-08
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
  • Engineering
Job Description & How to Apply Below

Overview

  • Job Title:

    R&D Digital Tools and Automation Specialist
  • Company:
    Talent Burst, Inc.
  • Location:

    Tucson, AZ (On-site, Remote)
  • Type:
    Full-time
  • Posted: 16 hours ago
Job Description

R&D Digital Tools and Automation Specialist

Requirements
  • Experience:

    2+ years of professional experience in an operations, technical support, or system administration role, or equivalent academic projects / internships
  • Language

    Skills:

    Excellent written and verbal English Language skills
  • System Proficiency:
    Ability to quickly learn new software, systems, and processes
  • Education:

    Bachelor’s degree (technical, scientific, or business discipline preferred). Experience in enterprise business applications desirable. Education/experience in data structures, databases, automation, scripting, AI prompt engineering and/or development of AI agents desirable.
  • Tools:
    Experience with SAP, Cornerstone, Google Suite and Office Suite is a plus
  • Execution & Focus:
    Ability to complete complex, detailed tasks accurately and efficiently
  • People

    Skills:

    Demonstrated ability to work well with others in a hybrid virtual and global team environment
Key Responsibilities
  • Execute enterprise tool system tasks based on R&D customer requests
  • Provide timely expert support to R&D operational issues and system problems
  • Act as the subject matter expert for one or more complex R&D business applications
  • Develop deep expertise in key processes (e.g., records management, lab data, change requests) for high-accuracy execution
  • Streamline operations and save significant time for R&D scientists
  • Deliver proactive system support
  • Maintain Global Service Excellence
  • Drive Process Improvement by identifying opportunities for digitization and improvement
  • Apply or develop automation and AI tools to reduce administrative load on R&D staff
  • Ensure Data Integrity and Compliance with regulated R&D processes
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