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David Broniatowski

8 months ago

Postdoctoral Fellow in AI and Synthetic Biology at George Washington University George Washington University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

No explicit funding details are provided in the post. The position is part of the NIST Professional Research Experience (PREP) program at George Washington University, which typically offers paid fellowships, but specific stipend or funding information is not mentioned.

Deadline

Expired

Country flag

Country

United States

University

George Washington University

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Keywords

Computer Science
Machine Learning
Biomedical Engineering
Biology
Artificial Intelligence
Biosecurity
Synthetic Biology
Protein Engineering
Bioinformatic

About this position

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.

Funding details

No explicit funding details are provided in the post. The position is part of the NIST Professional Research Experience (PREP) program at George Washington University, which typically offers paid fellowships, but specific stipend or funding information is not mentioned.

What's required

Applicants must hold a Master's or Ph.D. in Computer Science, Engineering, or a related field, with at least 2 years of relevant experience. Strong scripting skills, familiarity with DevOps, and real-time event data analysis are required. Interest or experience in engineering biology, biosecurity, or protein design is preferred. Candidates must be eligible to obtain a Department of Commerce background check for facility access.

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Professors

Professor of Engineering Management and Systems Engineering

University Name
Country flag

United States

Research Interests

Artificial Intelligence

Statistics

Physics

Materials Science

Computer Science