Engineering Biology AI Researcher
Engineering Biology AI Researcher
PREP0004155
Project Description:
Plan and conduct research to advance measurement capabilities to aid in the predictive engineering of biological systems, such as proteins, as part of the NIST Engineering Biology Program. Develop artificial intelligence and machine learning analysis pipelines to support automation and protocol development for wetlab procedures, as well as development of platforms for new, quantitative measurements and validated methods for evaluating the functional performance of engineered biological parts and systems. Develop automation workflows for bottleneck processes in biosecurity screening and synthetic biology. Support NIST's mission through service as a subject matter expert in the application of artificial intelligence and machine learning to measurement innovation in synthetic biology. Engage stakeholders and identify opportunities for standards development.
Key Responsibilities:
- Perform measurement analysis using artificial intelligence and/or machine learning
- Generate and maintain analysis software, along with documentation
- Conduct analysis and assist staff in conducting analysis
- Maintain and administer hardware solutions for project and group compute tasks
- Advise Division and NIST management as a subject matter expert
- Organize, conduct, and attend relevant meetings, and provide written summaries or other documentation to NIST management and stakeholders
- Obtain and provide relevant information to inform NIST management and stakeholders
- Maintain deep technical knowledge of advances in the application of artificial intelligence and machine learning to measurement challenges in synthetic biology, such as those relevant to biosafety and biosecurity
- Demonstrate attention to detail
- Execute novel technical research
- Support sequence to function research for protein engineering
- Develop and apply infrastructure for data analysis
- Establish and document standard operating procedures for analysis pipelines
Desired Qualifications:
- U.S. Citizen Preferred
- Ph.D. in Computer Science, Engineering, Manufacturing, or a related field
- 2 years of relevant experience
- Familiarity with DevOps and CICD pipelines
- Ability to work with real-time event data at scale
- Familiarity with multiple scripting languages
- Ability to develop prototypes of tools needed to analyze data
- Strong oral and written communication skills
Other Details:
- Full-time: the participant is expected to work 40 hours a week
- Location: the participant will work at the NIST Gaithersburg Campus and remotely.
- Duration: this is expected to be a eleven month position. Extensions are sometimes granted depending on the availability of funds.