Background
Concordia AI is committed to identifying and addressing the most pressing challenges arising from AI development, ensuring AI develops in a safe, reliable, and responsible way. The deep convergence of AI and chemistry is one of our primary focus areas. We recognize that while this convergence greatly accelerates drug discovery and chemical engineering, it also poses serious risks: lowering the barriers to synthesizing hazardous chemicals and chemical weapon precursors, raising the ceiling of potential harm, and undermining existing chemical defense and verification systems. Our published work and ongoing initiatives in this domain include:
- Developing Risk Management Frameworks & Driving Evaluation Practice: Co-released the Frontier AI Risk Management Framework 2.0 with Shanghai AI Laboratory, proposing explicit red-line scenarios for chemical risks; launched the Frontier AI Risk Monitoring Platform and quarterly reports to track changes in frontier model chemical capabilities and safeguard gaps.
- Engaging in CBRN Governance Dialogues: Continuously participating in UN technical and policy consultations regarding chemical, biological, radiological, and nuclear (CBRN) risks and dual-use threats posed by frontier AI.
Responsibilities
As a core team member at Concordia AI, you will conduct in-depth research at the intersection of frontier AI and chemistry, delivering key decision support for AI x chemical security governance across the policy, industry, and academic communities. Focusing on the capability boundaries and safety risks of general-purpose large models, chemistry-specific AI models, AI agents, and automated labs in synthesis planning, reaction condition optimization, and toxicity prediction, you will drive end-to-end research pipelines from risk identification to mitigation strategy development.
- AI x Chemical Security Threat Modeling: Collaborate with domain experts to develop chemical security threat models for general-purpose large models, chemistry-specific AI models, AI agents, and automated labs, defining risk thresholds and assessment criteria.
- AI x Chemical Security Benchmark Development: Independently design benchmarks for AI chemical capability and safety. Systematically assess model performance across chemical knowledge, task execution, and safety risk identification.
- AI x Chemical Red-Teaming & Mitigation Strategies: Conduct red-teaming evaluations on high-risk chemical tasks, and identify safety vulnerabilities across different models and systems. Explore and validate cutting-edge risk mitigation strategies and protective safeguards.
- Technical & Policy Tracking for Governance Support: Monitor developments in AI x Chemical Security across research and policy spheres, converting research findings into research reports, policy recommendations, and technical proposals that inform chemical security governance decisions.
Qualifications
Required
- Alignment with Concordia AI’s mission and a strong interest in AI x Chemical Security, combined with a strong sense of responsibility, problem-solving skills, and rigorous scientific reasoning skills. Ability to drive frontier research independently while remaining a collaborative, proactive team player.
- Master’s degree or above in Organic Chemistry, Medicinal Chemistry, Chemical Engineering, Toxicology, Chemical Biology, or a related field.
- Genuine interest in AI and a fast learner.
- Solid domain expertise in chemistry, capable of evaluating the technical feasibility and risk levels of AI-generated chemical outputs.
- Strong Chinese reading and writing skills, with proficient spoken Chinese for smooth communication.
Preferred
- Research or practical experience in chemical security evaluation, organic synthesis, toxicology, or hazardous chemical management.
- Hands-on experience in developing or applying AI models in chemistry/life sciences, or familiarity with cheminformatics tooling.
- Ability to communicate and collaborate effectively in both Chinese and English language with Chinese and international chemical security stakeholders.
Location
Beijing/Singapore
For detailed information, please see: https://mp.weixin.qq.com/s/QIunhlvvq3OKpIDZE-1ZiA