Principal Scientist I, Computing & Intelligence

September 17, 2026
Application deadline closed.

Job Description

Key Responsibilities

Research & Innovation

  • Conduct original research in Healthcare AI Safety, Trustworthy AI, Machine Learning, and Artificial Intelligence.
  • Develop novel methodologies and frameworks in areas such as:
  • AI Safety and Alignment
  • Trustworthy and Responsible AI
  • Explainable and Interpretable AI
  • AI Evaluation and Benchmarking
  • Robustness and Reliability
  • Human-AI Collaboration
  • AI Governance and Risk Management
  • Design techniques for detecting, mitigating, and monitoring AI failures, biases, hallucinations, and unsafe behaviors.
  • Develop methods for uncertainty quantification, confidence estimation, and risk-aware decision-making.
  • Develop safety frameworks for foundation models, large language models, multimodal AI systems, and agentic AI systems used in healthcare.
  • Design methodologies to evaluate clinical safety, reliability, fairness, and generalizability of AI systems across diverse patient populations and healthcare settings.
  • Develop monitoring systems for post-deployment surveillance, model drift detection, and continuous safety assessment.
  • Build mechanisms for human oversight, escalation, and safe human-AI collaboration in clinical workflows.
  • Develop evaluation frameworks for clinical decision support systems, healthcare copilots, and autonomous healthcare agents.
  • Advance approaches for safeguarding patient privacy, data security, and responsible use of healthcare data.

Translational AI Safety

  • Collaborate with clinicians, healthcare providers, regulators, policymakers, and industry partners to support safe deployment of AI systems.
  • Contribute to healthcare AI governance frameworks, safety standards, regulatory science, and best practices.
  • Translate AI safety research into practical tools, platforms, and operational frameworks for healthcare organizations.
  • Support technology transfer, intellectual property generation, and commercialization opportunities.

Scientific Leadership

  • Publish high-impact research in leading AI, machine learning, healthcare, and AI safety conferences and journals.
  • Contribute to grant proposals, project planning, and strategic research initiatives.
  • Mentor junior researchers, engineers, and students.
  • Represent IHPC in collaborations with healthcare institutions, government agencies, regulators, and industry partner

Requirements

Essential

  • PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Biomedical Informatics, Healthcare Informatics, or a related discipline.
  • Strong track record in AI/ML research demonstrated through publications, patents, or impactful projects.
  • Strong programming skills in Python and modern machine learning frameworks such as PyTorch or TensorFlow.
  • Experience developing and evaluating machine learning and deep learning models.
  • Strong interest in AI safety, responsible AI, healthcare applications, and trustworthy AI systems.

Are you interested in this position?
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