Research/Engineer Scientist – Cbrn – Bio/Chem

Research/Engineer Scientist – Cbrn – Bio/Chem

Requirements

• Have deep domain expertise in biological sciences, particularly in pathogen research, molecular biology, biodefense, chemical engineering, or chemical weapons counterproliferation
• Possess experience with coronavirus or other high-consequence pathogen research, including reverse genetics systems
• Have worked with biological and chemical threat characterization, risk assessment, or biosecurity policy development
• Demonstrate experience in applying ML to biological problems, such as genomic analysis or literature mining
• Have familiarity with the Biological Weapons Convention and dual-use research oversight frameworks
• Possess experience with BSL-3/ABSL-3 facilities or Federal Select Agent Program compliance
• Can bridge technical biological knowledge with ML/AI applications for security purposes
• Have experience fine-tuning large language models for specialized domains
• Understand the intersection of converging technologies (AI, synthetic biology, gene editing) and biosecurity risks
• Possess strong foundation in both molecular biology techniques and modern ML frameworks (PyTorch/TensorFlow)
• Have experience translating complex technical findings into policy recommendations
• Demonstrate ability to work with sensitive information while maintaining appropriate security protocols
• Show experience with government biodefense programs or national security applications
• Can operate effectively in fast-paced environments while maintaining scientific rigor
• Have published research in relevant biological or biosecurity domains

Responsibilities

• Apply ML/AI research to build evaluation systems for biological and chemical safety, with focus on pathogen characterization and threat detection
• Design and train specialized AI models for biological agent classification, leveraging genomic data, literature analysis, and experimental protocols
• Work with SG research to design and implement state-of-the-art ML approaches for identifying dual-use research and gain-of-function experiments
• Build systems that target the transition of digital biological information into laboratory implementation, preventing malicious synthesis
• Create and implement technical systems for monitoring emerging biological and chemical threats
• Develop classifiers that can distinguish between legitimate research and potential biological weapons development
• Build sophisticated evaluation infrastructure for measuring AI capability uplift in biological and chemical domains
• Design adversarial testing frameworks that probe model capabilities in biosecurity contexts
• Integrate wet lab validation data with ML training pipelines to improve classifier accuracy
• Develop and maintain biological threat datasets and benchmarks while ensuring appropriate information security
• Create tools that allow biodefense experts to quickly develop and deploy new threat detection evaluations
• Write production-quality Python code for high-throughput biological data processing and evaluation systems
• Contribute to biological risk assessments that directly inform AI model release decisions and policy development
• Work cross-functionally with biodefense policy experts, laboratory researchers, and ML engineering teams

Preferred Qualifications

No preferred qualifications provided.