Oracle Health Data Intelligence (HDI) is leading the charge in transforming healthcare with innovative data and AI solutions, aiming to revolutionize patient care, optimize healthcare delivery, and drive operational excellence through data and technology.
Requirements
- Expertise in GenAI and LLM frameworks, including OpenAI GPT, BERT, or similar transformer architectures.
- Proficiency in fine-tuning LLMs for specific domains and integrating them with enterprise-grade applications.
- Experience with cloud platforms (e.g., OCI, AWS, Azure, or GCP) and distributed computing.
- Strong programming skills in Python and familiarity with libraries such as Hugging Face Transformers, TensorFlow, or PyTorch.
- Knowledge of multi-modal data integration (text, imaging, structured data) and analytics.
- Deep understanding of healthcare systems, EHR standards (e.g., FHIR, HL7), and value-based care metrics.
- Familiarity with regulatory requirements (e.g., HIPAA, HITRUST) and compliance frameworks.
Responsibilities
- Serve as a key technical expert in designing, developing, and deploying AI/ML solutions with a focus on GenAI and LLM applications for healthcare.
- Architect and implement AI agents that automate complex workflows, such as generating real-time clinical summaries and assisting in patient care management.
- Integrate LLM capabilities with healthcare datasets, ensuring robust performance, scalability, and adherence to compliance standards.
- Develop and fine-tune LLMs for healthcare-specific use cases, such as automated documentation, question answering, and predictive analytics.
- Apply generative AI to synthesize insights from multi-modal healthcare data (e.g., EHRs, imaging, claims, and demographics) to enhance patient care and operational efficiency.
- Explore and implement reinforcement learning and human feedback (RLHF) approaches to improve model performance in real-world healthcare settings.
- Design intelligent AI agents to automate tasks, such as chart reviews, care plan generation, and clinical quality analytics.
Other
- Master’s degree in computer science, Machine Learning, Artificial Intelligence, or a related field. Ph.D. preferred.
- 8+ years of hands-on experience in AI/ML, with a strong focus on GenAI, LLMs, or AI agent development.
- Ability to engage with technical and non-technical stakeholders to drive AI adoption and ensure business alignment.
- Strong problem-solving skills and ability to deliver results in ambiguous, high-impact environments.
- Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
