Argonne National Laboratory
Government
Scientific/TechnicalLeadforSTEMPrograms
Neural analysis suggests this role is
optimal for Lead candidates.
“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.
Root cause analysis
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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