Partner with formulation, quoting, planning, scheduling, Product Data Management, and Quality Control teams to understand workflows, data requirements, and operational challenges.
Collect, enter, organize, clean, validate, analyze, and maintain manufacturing, laboratory, planning, quoting, and product data.
Support daily scheduling and production workflows by preparing data, identifying gaps or discrepancies, and providing timely operational insights.
Develop and maintain repeatable reports, dashboards, KPIs, data models, and analytical workflows that improve planning, resource utilization, and business continuity.
Facilitate current-state process reviews and help design practical future-state workflows that reduce manual handoffs, strengthen data quality, and support continuous improvement.
Develop analytical models for production scheduling, raw material management, capacity planning, and other manufacturing workflows.
Investigate data discrepancies, determine root causes, and coordinate corrective actions with process owners and software engineers.
Translate manufacturing and business needs into clear data definitions, reporting requirements, system specifications, and user feedback for software engineers.
Support LIMS and related system configuration, master data setup, data mapping and migration, testing, validation, implementation, issue resolution, and user training.
Help design sustainable data structures, integrations, queries, automations, and reporting solutions that can scale with future site needs.
Create and maintain SOPs, work instructions, process maps, user guides, and controlled system documentation for new and existing workflows.
Provide hands-on support and training to manufacturing, laboratory, quality, and technical users following system or process changes.
Use AI and advanced analytical tools responsibly to automate repeatable work, identify patterns, and improve decision-making while validating outputs and protecting data integrity.
Perform all work in accordance with established safety, quality, data-integrity, and controlled-document requirements.
Required Qualifications
Bachelor’s degree in chemistry, biology, computer science, manufacturing technology, information systems, or a related field; equivalent relevant experience may be considered.
Ability to work full-time and 100% on-site in North Kingstown, Rhode Island.
Experience in a scientific laboratory, chemical production, manufacturing, or similarly technical environment.
Ability to understand and interpret laboratory and manufacturing data.
Strong attention to detail, documentation, organization, and problem-solving skills.
Comfort working with spreadsheets, structured data, and computer-based systems.
Working familiarity with artificial intelligence tools and an understanding of responsible use, output validation, data privacy, and appropriate human oversight.
Ability to work collaboratively with laboratory, manufacturing, quality, and technical teams.
Experience with LIMS, laboratory software, ERP systems, product data management systems, or manufacturing systems.
Experience with Excel, Power Query, Power BI, SQL, Python, Microsoft Fabric, Power Apps, or another analytical, programming, or low-code tool.
Experience using generative AI, machine learning, or AI-assisted analytical tools to support data preparation, analysis, documentation, automation, or workflow improvement.
Experience supporting software implementation, system testing, data migration, master data setup, or user training.
Experience designing repeatable analytical workflows, data models, or reporting standards.
Experience in a regulated manufacturing environment.
Familiarity with laboratory workflows, chemical formulations, sample tracking, specifications, quoting, planning, scheduling, or production documentation.
Additional Details
This job has a full time weekly schedule. Applications for this job will be accepted until at least September 24, 2026 or until the job is no longer posted.The full-time equivalent pay range for this position is $58,800.00 - $91,875.00/yr plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locationsAgilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email [email protected] or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.Travel Required: NoShift: DayDuration: No End DateJob Function: AdministrationSkills Required
- Bachelor's degree in chemistry, biology, computer science, manufacturing technology, information systems, or a related field; equivalent relevant experience may be considered.
- Ability to work full-time and 100% on-site in North Kingstown, Rhode Island.
- Experience in a scientific laboratory, chemical production, manufacturing, or similarly technical environment.
- Ability to understand and interpret laboratory and manufacturing data.
- Strong attention to detail, documentation, organization, and problem-solving skills.
- Comfort working with spreadsheets, structured data, and computer-based systems.
- Working familiarity with artificial intelligence tools and responsible use, output validation, data privacy, and human oversight.
- Ability to collaborate with laboratory, manufacturing, quality, and technical teams.
- Experience with LIMS, laboratory software, ERP systems, product data management systems, or manufacturing systems.
- Experience with Excel, Power Query, Power BI, SQL, Python, Microsoft Fabric, Power Apps, or another analytical, programming, or low-code tool.
- Experience using generative AI, machine learning, or AI-assisted analytical tools.
- Experience supporting software implementation, system testing, data migration, master data setup, or user training.
- Experience designing repeatable analytical workflows, data models, or reporting standards.
- Experience in a regulated manufacturing environment.
- Familiarity with laboratory workflows, chemical formulations, sample tracking, specifications, quoting, planning, scheduling, or production documentation.
Agilent Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Agilent Technologies and has not been reviewed or approved by Agilent Technologies.
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Retirement Support — The core U.S. package highlights a generous 401(k) match as a strength. Retirement programs are positioned as competitive within the company’s total rewards.
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Equity Value & Accessibility — An Employee Stock Purchase Plan at a discount provides accessible equity and augments total compensation. Ownership opportunities are presented as a notable advantage alongside retirement benefits.
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Leave & Time Off Breadth — Flexible Time Off, company holidays, a personal holiday, and paid volunteer time create a broad leave offering. Time off can accrue into multiple weeks in the first year, supporting flexibility.
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Analytical scientists and clinical researchers worldwide rely on Agilent to help fulfill their most complex laboratory demands. Our instruments, software, services and consumables address the full range of scientific and laboratory management needs—so our customers can do what they do best: improve the world around us. Whether a laboratory is engaged in environmental testing, academic research, medical diagnostics, pharmaceuticals, petrochemicals or food testing, Agilent provides laboratory solutions to meet their full spectrum of needs. We work closely with customers to help address global trends that impact human health and the environment, and to anticipate future scientific needs. Our solutions improve the efficiency of the entire laboratory, from sample prep to data interpretation and management. Customers trust Agilent for solutions that enable insights...for a better world.
