Oracle Health Data Intelligence (HDI) is seeking a Senior Principal Applied Scientist to lead complex engagements with nations, states, providers, payers, and life sciences partners to design and deliver high-impact data applications on Oracle’s AI Health Data Platform, improving outcomes and reducing costs through human-centric, data-driven healthcare transformation.
Requirements
- Deep expertise in GenAI, LLMs, and AI agent frameworks (e.g., GPT architectures, retrieval-augmented generation, orchestration frameworks).
- Advanced proficiency in Python and libraries such as Hugging Face Transformers, TensorFlow, or PyTorch.
- Strong understanding of multi-modal data integration, clinical interoperability standards (FHIR, HL7), and regulatory frameworks.
- Experience with distributed systems and cloud platforms (OCI, AWS, Azure, or GCP).
- Proven track record leading large-scale, production AI deployments in healthcare or other regulated industries.
- Demonstrated experience influencing cross-functional roadmaps and driving strategic outcomes with global customers.
- 10+ years of experience in AI/ML solution development, with 5+ years in senior or principal technical roles.
Responsibilities
- Serve as the senior technical authority on designing and delivering AI/ML-powered health data applications, with a focus on AI agents, generative AI, and LLM architectures for large, regulated healthcare systems.
- Architect end-to-end solutions that leverage Oracle’s AIDP platform to solve population health, research, and clinical interoperability challenges at global scale.
- Influence product roadmaps by representing real-world customer requirements, regulatory constraints, and innovation opportunities to senior product and engineering leadership.
- Lead the development, fine-tuning, and deployment of domain-specific LLMs and AI agents for healthcare use cases, including clinical summarization, interoperability, documentation automation, and predictive insights.
- Apply cutting-edge techniques such as RLHF, multi-modal data fusion, and knowledge grounding to improve accuracy, safety, and real-time performance.
- Set technical direction for GenAI initiatives across HDI, mentoring teams and shaping best practices for scalable, production-grade healthcare AI.
- Lead high-stakes solution engagements for top global customers, translating ambiguous clinical and operational needs into scalable, compliant architectures.
Other
- Master’s degree in Computer Science, Machine Learning, AI, or related field required; Ph.D. strongly preferred.
- Exceptional ability to engage with senior business and technical stakeholders, drive adoption of complex AI solutions, and influence organizational direction.
- Proven ability to operate effectively in ambiguous, high-impact environments, balancing innovation with compliance.
- Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
- Travel requirements not specified
