Argonne

Argonne

Scientific/Technical Lead for STEM Programs

Lemont, IL USA · Mid · Contract

Sponsorship not specified$70k-$109kDetected 97 days ago
PythonMachine LearningData AnalysisData ScienceData VisualizationLLMsAgentic AIAccessibilityProject ManagementResearchPublic Speaking

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Entry-level history60
PERM / green-card track50
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About the role

  • Argonne National Laboratory is a U.S. Department of Energy national laboratory conducting world-class research to address the nation's energy, environmental, and security challenges.
  • You will be responsible for designing and evolving the scientific challenge framework, leading facilitator training, and playing a key role in planning and implementing Argonne's local Jam event.
  • This hybrid position requires on-site presence a minimum of 2-3 days per week.

Responsibilities

  • Design and develop scientific challenge frameworks that authentically integrate AI capabilities, domain science, and human judgment.
  • Develop and prototype challenge content including scientific storylines, curated datasets, and LLM workflows, iteratively testing across multiple AI platforms to ensure scientific integrity and pedagogical coherence.
  • Prepare and equip participating laboratory teams with the AI knowledge and challenge fluency needed to implement the Jam with fidelity across diverse lab environments.
  • Support the planning and implementation of Argonne's local Jam event, including presenting technical content and serving as a scientific and AI resource during the event.
  • Work in a matrixed environment, coordinating with curriculum developers, the Project Manager, and support teams across Argonne and other national laboratories.
  • Track and incorporate feedback from pilot testing, educators, and lab partners to iteratively improve Jam content and activities.

Requirements

  • Bachelor's degree in a STEM field, artificial intelligence, computer science, engineering, data science, or a related technical discipline
  • Demonstrated experience working with LLMs in technical workflows, including prompt engineering, data analysis, agentic systems, and an understanding of model capabilities and limitations.
  • Strong scientific foundation with demonstrated ability to apply AI tools to scientific inquiry
  • experience in a specific STEM domain highly desired.
  • Demonstrated ability to track and interpret the rapidly evolving AI landscape, including emerging models, tools, and capabilities relevant to scientific applications.
  • Ability to communicate complex AI and scientific concepts clearly to diverse technical and non-technical audiences, including researchers, educators, and policymakers.
  • Experience working in a matrixed team environment.
  • Proficiency with relevant technical tools (e.g., Python, Jupyter notebooks, AI/ML platforms, data visualization tools).
  • Ability to model Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
  • Bachelor's degree in a STEM field, artificial intelligence, computer science, engineering, data science, or a related technical discipline; advanced degree preferred but not required.

Nice to have

  • advanced degree preferred but not required.

Compensation

  • STEM Learning Pathways within Institutional Partnerships supports the development of the next generation STEM workforce through immersive, connected programming, engaging over 12,000 students annually across 20+ unique programs.

Benefits

  • Demonstrated technical experience and expertise may be considered in lieu of advanced education.
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