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Tunnell Government Services

Artificial Intelligence - Life Sciences or Healthcare, SME

AI & Machine LearningConfirmed live in the last 24 hours
Full-timeWashington, DC, USANo salary listed

About the Job

Requirements

  • An advanced degree (Ph.D. or M.S.) in Computer Science, Data Science, Engineering, Bioinformatics, or a related field is required.
  • At least 15 years of experience in vaccines and/or therapeutics development is required.
  • At least 8–10 years of experience applying artificial intelligence and machine learning in healthcare, biomedical research, or health security contexts is required.
  • Demonstrated expertise in algorithm development, data modeling, and AI governance is required.
  • Ability to communicate complex AI concepts to diverse stakeholders is required.
  • Demonstrated experience serving as a technical expert and leader in machine learning/artificial intelligence, data analytics, and algorithm development using medical and/or biological data is required.
  • Understanding of software development principles and cloud-based platforms and services relevant to AI development is required.
  • Expertise in understanding artificial intelligence model function, clinical validation, production deployment, and ongoing maintenance is required.
  • Must be a U.S. citizen or full Green Card holder.

Responsibilities

  • Advise BARDA leadership on emerging trends, opportunities, and risks in artificial intelligence and related technologies for vaccine and/or therapeutics development.
  • Provide subject matter expertise to BARDA divisions in evaluating AI-enabled technologies, tools, and proposals.
  • Assess AI approaches used in diagnostics, therapeutics, and vaccines, including reviewing algorithms and algorithm performance.
  • Guide the design, implementation, and validation of AI applications to ensure scientific rigor, transparency, and compliance with federal policies.
  • Contribute to formulating policies, standards, and ethical frameworks governing AI use within BARDA.
  • Perform expert analysis and recommend applications of machine learning/artificial intelligence tools and capabilities to biotechnology research and development, including digital health, drug discovery and design, and clinical validation.
  • Evaluate diverse datasets for use with AI products and tools, such as electronic health records, claims, laboratory/clinical data, physiological data, genomic data, viral variant data, and/or social determinants of health data.
  • Advise on improvements to data collection and curation, develop standards, and develop data use and sharing agreements to enable AI applications.
  • Advise research and development partnerships developing artificial intelligence products/tools to improve model function, design clinical validation studies, and implement production deployment and maintenance processes.

About the Company

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