Full-Time

Human Resources Generalist

Argonne National Laboratory

Argonne National Laboratory

5,001-10,000 employees

Advanced scientific research and computing facilities

Compensation Overview

$75.8k - $118.2k/yr

No H1B Sponsorship

Woodridge, IL, USA

Hybrid

Hybrid role: up to two days per week remote; on-site in Lemont, Illinois.

US Citizenship Required

Bachelor's, Master's

Category
People & HR (1)
Required Skills
Workday HRIS
Word/Pages/Docs
Human Resources Information System (HRIS)
Excel/Numbers/Sheets

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Requirements
  • PA3: Bachelor's and 4+ years of HR experience (combination of multiple functions, generalist and/or business partner), or a Master's and 2+ years, or equivalent
  • Knowledge of HR practices and administration
  • Ability to interpret and implement Argonne’s Human Resources, Laboratory and Division policies and procedures
  • Demonstrated effective oral and written communication skills
  • Ability to interact confidently with Division Directors, Line Managers, the HR team, and other collaborations throughout the organization
  • Ability to discreetly handle a variety of sensitive information and human resources matters
  • High level of accuracy and the ability to pay attention to detail
  • Ability in handling multiple tasks to accurately manage conflicting priorities and to meet commitments
  • Ability to collaborate with internal and external partners to achieve goals and create solutions
  • Must be highly proficient in Microsoft Office suite including Word, Outlook and Excel
  • Ability to model Argonne’s core values of impact, safety, respect, integrity and teamwork
  • To perform the essential functions of this position successful applicants must provide proof of U.S. citizenship
  • Knowledge of Workday or similar HRIS preferred
  • Education in Human Resources discipline or related, and certification as an HR Professional is highly desirable
Responsibilities
  • Serve as an HR liaison to employees and managers by providing consultation and guidance on a broad range of HR matters, ensuring consistent application of HR policies and practices, focused on a tactical perspective
  • Analyze and synthesize HR data and workforce metrics to identify trends, inform recommendations, and support resolution of workforce and organizational opportunities
  • Partner with hiring managers to support workforce planning and recruitment strategies, including development of job descriptions, compensation recommendations, and guidance on hiring approaches
  • In partnership with Employee Relations, advise managers on employee relations matters in partnership with Employee Relations, performance management issues and workplace concerns, ensuring alignment with organizational policies and legal requirements
  • Support cyclical HR programs such as performance appraisal processes, talent reviews, merit planning, promotions, and compensation adjustments
  • Participate in HR projects and process improvement initiatives aimed at enhancing operational efficiency, service delivery, and the overall employee experience
  • Assist in developing and implementing communication and change management strategies related to new or updated HR policies, procedures, and programs
  • Support laboratory and directorate recognition and rewards programs that reinforce organizational values and employee engagement
  • Maintain accurate and well-organized electronic and physical HR records in accordance with applicable policies, confidentiality standards, and regulatory requirements
  • Assist in providing leadership, coordination, and guidance to directorate support staff to ensure effective administrative and operational support
Desired Qualifications
  • Knowledge of Workday or similar HRIS preferred
  • Education in Human Resources discipline or related, and certification as an HR Professional is highly desirable
Argonne National Laboratory

Argonne National Laboratory

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Argonne National Laboratory advances scientific discovery and sustainability by providing access to large-scale research facilities and high-performance computing for government, academia, and industry partners. Researchers use the Advanced Photon Source for atomic-level materials studies and the Argonne Leadership Computing Facility for complex simulations and data analysis. The lab differentiates itself through its shared-use, multi-institution partnerships and a focus on eco-innovation, net-zero goals, and AI accelerator development. Its aim is to address real-world energy, materials, and data science challenges by combining cutting-edge infrastructure with collaborative research efforts.

Company Size

5,001-10,000

Company Stage

Grant

Total Funding

$19.7M

Headquarters

Lemont, Illinois

Founded

1946

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Simplify Jobs

Simplify's Take

What believers are saying

  • Nvidia and Oracle’s October 2025 partnership brings Solstice and Equinox to Argonne.
  • Minerva arrives in 2026 with 64 Blackwell GPUs, expanding inference capacity.
  • ChemGraph and GridMind in 2026 automate chemistry and grid operations across missions.

What critics are saying

  • DOE’s FY2027 request cuts Argonne funding by $155.8 million, pressuring 2027 programs.
  • Argonne’s $6 billion Genesis center depends on private capital by August 21, 2026.
  • Without Genesis financing, Oak Ridge and commercial clouds can outrun Argonne’s AI leadership.

What makes Argonne National Laboratory unique

  • Aurora, APS, and ALCF combine exascale computing with world-leading synchrotron science.
  • Argonne’s May 2026 inference service gives DOE scientists secure on-prem AI model access.
  • APS Upgrade completed February 2026, reinforcing Argonne’s integrated discovery infrastructure.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Paid Vacation

Paid Sick Leave

Paid Holidays

Remote Work Options

Flexible Work Hours

401(k) Retirement Plan

401(k) Company Match

Professional Development Budget

Wellness Program

Growth & Insights and Company News

Headcount

6 month growth

-2%

1 year growth

-3%

2 year growth

-2%
Associated Press
Jul 7th, 2026
Argonne's ChemGraph uses AI to automate computational chemistry workflows

Researchers at the US Department of Energy's Argonne National Laboratory have developed ChemGraph, an open-source framework that uses artificial intelligence to automate computational chemistry workflows. The tool provides a natural language interface, allowing researchers to describe scientific problems in plain language, which the system then maps onto computational tasks and analyses. ChemGraph was developed using resources at the Argonne Leadership Computing Facility, including the Aurora exascale supercomputer. The framework uses AI agents to handle different workflow tasks, from planning to execution and data aggregation. It calls appropriate scientific tools to reduce the risk of AI hallucination, using AI to run physics-based simulations rather than relying solely on existing knowledge. The framework supports applications in combustion efficiency, critical materials, and next-generation batteries, and complements DOE's Genesis Mission to accelerate science through AI.

The Register
May 27th, 2026
Argonne National Laboratory launches private AI inference service using spare supercomputer capacity

The US Department of Energy's Argonne National Laboratory has launched an AI inference service using spare supercomputing capacity to support researchers across DoE labs and the Genesis Mission. The service runs on two clusters: Sophia, with 192 Nvidia A100 GPUs, and Metis, featuring 32 SambaNova SN40L AI accelerators. The platform provides secure access to various large language models, including OpenAI's GPT-OSS, Google's Gemma, and Meta's Llama, through a chatbot-like portal. Researchers are using the service to analyse experimental data in real time, including predicting plasma disruptions in fusion energy research and processing data from particle accelerators and telescopes. Argonne plans to extend the service to its Nvidia GH200-based Tara and B200-based Minerva systems, enabling scientists to experiment with AI without building their own infrastructure.

Business Wire
Mar 26th, 2026
Argonne Lab develops GridMind AI agent to support power grid operators

Researchers at the US Department of Energy's Argonne National Laboratory have developed GridMind, an agentic AI system designed to assist power grid operators through natural language interaction. The system functions as a reasoning co-pilot for control rooms, simplifying complex grid management tasks. GridMind employs a multi-agent architecture where specialised AI agents handle different functions, such as power scheduling and weather-based contingency planning. Large language models coordinate these agents to analyse situations, reason across different tasks and provide explainable recommendations. The system transforms technical analysis into conversational support whilst maintaining rigorous accuracy. Tests on standard power grid models demonstrated that GridMind consistently produced correct results across multiple state-of-the-art language models. The technology aims to accelerate decision-making by integrating disconnected workflows into a coherent reasoning engine.

Yahoo Finance
Mar 11th, 2026
AI adviser helps Argonne's robotic lab discover advanced electronic materials in just 64 experiments

A research team led by the US Department of Energy's Argonne National Laboratory has developed an AI adviser that optimises machine learning algorithms during autonomous experiments, accelerating discovery of advanced electronic materials. The system was applied to Polybot, Argonne's AI-guided robotic laboratory, to investigate mixed ion-electron conducting polymers for wearable electronics and energy storage. The adviser evaluates algorithm performance in real time and communicates insights to scientists who refine experimental plans. It reduced the study to just 64 experiments from over 4,300 possible combinations. During testing, the adviser suggested switching AI algorithms, leading to significant performance improvements, and identified deposition speed as a key performance driver. The research was published in Nature Chemical Engineering and included collaborators from the University of Chicago, Lawrence Berkeley National Laboratory and other institutions.

Argonne National Laboratory
Jun 2nd, 2022
5 clean energy startups chosen for Argonne’s Chain Reaction Innovations - Chain Reaction Innovations

An energy and science incubator for transformative technologies