AI for Engineering Biology — Postdoctoral Fellow

Johns Hopkins University

Gaithersburg (MD)

On-site

USD 70,000 - 90,000

Full time

14 days+
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Job summary

Johns Hopkins University seeks a PREP Research Associate in Gaithersburg, Maryland. This role focuses on advancing AI measurement capabilities for biological systems. Responsibilities include software development and analysis using AI/ML, organizing stakeholder engagements, and leading novel research in synthetic biology. Candidates must hold a Ph.D. in a related field and have relevant experience. The position supports collaboration with NIST and offers opportunities to contribute to innovative research in a diverse environment.

Qualifications

  • Ph.D. in a related field is essential.
  • 2 years of relevant experience required.
  • Familiarity with multiple scripting languages is desired.
  • Strong oral and written communication skills are needed.

Responsibilities

  • Perform measurement analysis using AI and machine learning.
  • Generate and maintain analysis software and documentation.
  • Conduct analysis and support staff in conducting analysis.
  • Advise Division and NIST management as a subject matter expert.
  • Develop and apply infrastructure for data analysis.

Skills

Artificial Intelligence and Machine Learning
Measurement Analysis
Software Development
Documentation
Real-time Event Data Handling

Education

Ph.D. in Computer Science, Engineering, Manufacturing, or a related field

Tools

DevOps and CICD Pipelines
Scripting Languages

Job description

Johns Hopkins University seeks a PREP Research Associate in Gaithersburg, Maryland. This role focuses on advancing AI measurement capabilities for biological systems. Responsibilities include software development and analysis using AI/ML, organizing stakeholder engagements, and leading novel research in synthetic biology. Candidates must hold a Ph.D. in a related field and have relevant experience. The position supports collaboration with NIST and offers opportunities to contribute to innovative research in a diverse environment.
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