The George Washington University, in collaboration with the NIST Professional Research Experience (PREP) program, is seeking a Postdoctoral Fellow / AI Researcher to work at the intersection of Artificial Intelligence and Synthetic Biology. This unique opportunity is ideal for candidates with a background in Computer Science, Bioinformatics, or related fields who are passionate about applying modern DevOps and Machine Learning techniques to biological engineering challenges.

The successful candidate will focus on developing AI/ML pipelines to support predictive engineering of biological systems, particularly proteins. Responsibilities include creating analysis pipelines for sequence-to-function protein engineering, automating wet-lab procedures and data collection, managing DevOps and CI/CD pipelines for analysis software, and serving as a subject matter expert on AI in synthetic biology for NIST stakeholders. The research aims to address critical bottlenecks in biosecurity screening and lab automation, contributing to the advancement of safe and predictable biological engineering.

Applicants should possess a Master’s or Ph.D. in Computer Science, Engineering, or a related field, with at least two years of relevant experience. Essential skills include strong scripting abilities, familiarity with DevOps, and experience with real-time event data analysis. Interest or experience in engineering biology, biosecurity, or protein design is highly valued. Candidates must be eligible for a Department of Commerce background check for facility access.

This position offers the chance to work in a cutting-edge research environment at the interface of AI, synthetic biology, and biosecurity. While specific funding details are not provided, the PREP program typically offers paid fellowships. Interested applicants should apply via the provided link and ensure they meet all eligibility requirements.