AI Research Scientist with 1-2+ years of experience in healthcare IT, focusing on research, assessments, and technical evaluations of AI models and frameworks to solve internal problems and enhance generative AI capabilities. The role involves creating proof-of-concepts, staying updated on AI research, and mentoring colleagues. Requires a strong understanding of AI research landscape, hands-on Python development, and familiarity with GenAI, deep learning, NLP, CV, and ML frameworks, preferably within a cloud environment.

This role focuses on assessing AI systems for risks and impacts, recommending mitigations and guardrails, and testing/evaluating AI models, agents, and systems for performance, safety, security, and explainability. It involves developing and implementing policy processes and staying updated on AI developments and regulations within the healthcare domain.

This role focuses on assessing AI systems for risks, recommending mitigations and guardrails, and testing AI models, agents, and systems for performance, safety, security, and explainability. It involves supporting the development and implementation of AI ethics policies and processes, and staying updated on AI developments and regulations within the healthcare domain. The role requires experience in AI ethics, trust and safety, and risk management, with a preference for hands-on coding experience in AI/ML and knowledge of XAI and regulatory landscapes.