Postdoctoral Appointee - AI Co-Scientists

Overview We are seeking a highly motivated Post‑Doctoral Researcher to develop, implement, and advance the IDeA (Intelligent Design and Analysis) co‑scientist project. The successful candidate will work on cutting‑edge research at the intersection of artificial intelligence, agentic systems, and biological discovery. You will help create AI‑powered autonomous research assistants capable of hypothesis generation, experimental design, data analysis, and iterative learning in biological contexts, transforming how computational and experimental biology research is conducted. Key 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. Why Join Us? Work at the forefront of AI‑for‑science, developing autonomous systems that will transform biological research. 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. Competitive salary, professional development opportunities, and funding for conference travel. Engage with a vibrant interdisciplinary research community dedicated to pushing boundaries. Position Requirements Required Skills, Knowledge and Qualifications Completed or soon‑to‑be completed Ph.D. within 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 Skills, Knowledge and Qualifications 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). Compensation The expected hiring range for this position is $72,879.00–$121,465.00. The pay offered to a selected candidate will be determined based on qualifications, responsibilities, and market considerations. The position includes a comprehensive benefits package. Equal Employment Opportunity As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. #J-18808-Ljbffr Argonne National Laboratory