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?
Apply by clicking on the “Apply Now” button below!
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