Argonne National Laboratory · 1 month ago
Postdoctoral Appointee - AI Co-Scientists
Lemont, IL USA
Full-time
Onsite
New Grad, Entry Level
$73K/yr - $121K/yr
0+ years expArgonne National Laboratory is seeking a highly motivated Post-Doctoral Researcher to develop and advance the IDeA co-scientist project. The role involves creating AI-powered autonomous research assistants for hypothesis generation and data analysis in biological contexts, contributing to transformative applications in biological discovery and translational research.
EnergySecuritySocial Impact
Responsibilities
Design and implement generative AI models and agentic systems capable of scientific reasoning and hypothesis generation in biological contexts
Develop and integrate tool-calling frameworks that enable AI agents to interact with bioinformatics software, computational modeling platforms, databases, and experimental systems
Build scalable architectures for multi-agent systems that can coordinate complex research workflows across computational and experimental domains
Create feedback mechanisms that allow AI co-scientists to learn iteratively from experimental results, simulation outputs, and literature
Implement prompt engineering strategies, retrieval-augmented generation (RAG), and knowledge graph integration for scientific reasoning
Develop evaluation frameworks and benchmarks to assess the performance of AI co-scientists in biological discovery tasks
Collaborate with experimental biologists, computational scientists, and engineers to identify use cases and validate AI-driven discoveries
Optimize system performance for deployment on high-performance computing infrastructure and cloud platforms
Publish findings in high-impact journals and present research at leading AI and computational biology conferences
Contribute to open-source tools and frameworks that advance the broader AI-for-science community
Qualification
Required
Completed or Soon-to-be-completed Ph.D. within the last 0-5 years in Computer Science, Artificial Intelligence, Machine Learning, Computational Biology, Bioinformatics, or a related field
Strong programming skills in Python, with experience in AI/ML frameworks (PyTorch, JAX, Hugging Face Transformers)
Experience developing or working with large language models (LLMs), agentic systems, or autonomous AI agents
Demonstrated ability to integrate AI systems with external tools, APIs, databases, or software packages
Understanding of biological systems, bioinformatics workflows, or computational biology applications
Strong problem-solving skills and ability to work on open-ended research questions
Excellent communication skills and ability to work collaboratively in interdisciplinary teams
Strong publication record or demonstrated potential in relevant fields
Ability to model Argonne's core values of impact, safety, respect, integrity and teamwork
Preferred
Experience with agentic AI architectures, including ReAct, Chain-of-Thought reasoning, or multi-agent systems
Familiarity with tool integration frameworks such as LangChain, LlamaIndex, AutoGPT, or similar platforms
Knowledge of retrieval-augmented generation (RAG), vector databases, and knowledge graph integration
Background in systems biology, genomics, protein engineering, or drug discovery
Familiarity with high-performance computing environments and scalable distributed systems
Knowledge of bioinformatics tools and databases (BLAST, UniProt, PDB, KEGG, etc.)
Experience with API development, microservices, and/or container architectures (Singularity)
Benefits
Competitive salary, professional development opportunities, and funding for conference travel.
Access to state-of-the-art computing infrastructure, AI models, and collaborative research networks.
Opportunity to shape the future of human-AI collaboration in scientific discovery.
Collaborate with leading researchers across AI, computational biology, and experimental sciences.
Contribute to high-impact publications and open-source projects that will define the field.
Company
Argonne National Laboratory
Argonne National Laboratory conducts researches in basic science, energy resources, and environmental management.
1001-5000 employees
H1B Sponsorship
Argonne National Laboratory has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (6)
2021 (2)
Funding
Current Stage
Late StageTotal Funding
$41.4MKey Investors
Advanced Research Projects Agency for HealthUS Department of EnergyU.S. Department of Homeland Security
2024-11-14Grant· $21.7M
2023-09-27Grant
2023-01-17Grant
Leadership Team
Paul Kearns
Laboratory Director
Venkat Srinivasan
Director, Argonne Center for Collaborative Energy Storage Science (ACCESS)
Recent News
2026-01-25
Inside HPC & AI News | High-Performance Computing & Artificial Intelligence
2026-01-17
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