Argonne National Laboratory

Government

Scientific/TechnicalLeadforSTEMPrograms

$70–109k Lemont, Illinois, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Scientific/Technical Lead for STEM Programs at Argonne National Laboratory. Skills: Artificial intelligence, STEM education, Scientific challenges, LLM workflows. Design scientific challenge framework. Evolve scientific challenge framework”

What You'll Achieve.

Illuminate AI capabilities; Integrate AI capabilities; Ensure scientific integrity; Ensure pedagogical coherence; Implement Jam with fidelity; Align content with goals; Align activities with goals; Align content with standards; Align activities with standards; Align content with priorities; Align activities with priorities

Industry & Context.

Government
Problems you'll solve

Root cause analysis

Eligibility Requirements

On-site presence 2-3 days/week, Travel may be required, Background check required, Government access authorization

What They're Looking For.

Must Have

Bachelor's degree in STEM, Demonstrated experience with LLMs, Experience with prompt engineering, Experience with data analysis, Experience with agentic systems, Understanding of model capabilities, Ability to track AI landscape, Ability to communicate complex concepts, Experience collaborating with scientists, Experience collaborating with technical teams, Experience collaborating with cross-functional partners, Experience working in matrixed team, Proficiency with Python, Proficiency with Jupyter notebooks, Proficiency with AI/ML platforms, Proficiency with data visualization tools, Ability to model Argonne's Core Values

Nice to Have

Advanced degree preferred, Scientific foundation with AI tools, Experience in specific STEM domain, Experience in national laboratory, Experience in research institution, Experience in higher education

What You'll Do.

Design scientific challenge framework

Evolve scientific challenge framework

Lead facilitator training

Implement local Jam event

Identify scientific problems

Evaluate scientific problems

Design challenge frameworks

Develop challenge frameworks

Prototype challenge content

Translate frameworks to resources

Connect inquiry to skills

Prepare laboratory teams

Equip laboratory teams

Support local Jam event

Present technical content

Coordinate with developers

Coordinate with Project Manager

Coordinate with support teams

Ensure content alignment

Ensure activity alignment

Coordinate on timeline

Coordinate on budget tracking

Coordinate on cross-lab readiness

How You'll Work.

Team & Collaboration

Matrixed environment; Cross-lab coordination; Support teams

Communication Scope

Communicate complex concepts

Process & Methodology

Timeline tracking, Budget tracking

Full Job Description

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. 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. We invite you to apply for the Scientific/Technical Lead for STEM Programs. In this role, you will serve as the scientific and technical lead for the National AI STEM Educator Jam, a DOE-wide initiative engaging STEM education leaders at all 17 national laboratories in a simultaneous, immersive experience using artificial intelligence to investigate authentic scientific 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 Include: * Identify and evaluate authentic scientific problems with the potential to illuminate key AI capabilities and limitations for non-expert audiences. * 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. * Translate challenge frameworks into facilitator-ready resources that explicitly connect AI-enabled scientific inquiry to essential STEM workforce skills. * 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 even

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