Principal Applied Scientist

Location: United States

Oracle Health Data Intelligence is building AI-powered products that help healthcare organizations make better, faster, and more informed decisions. We are seeking a Principal Applied Scientist to lead the development of scalable machine learning and AI solutions across a broad range of product and platform challenges.

This is a hands-on technical leadership role for an experienced scientist who can turn ambiguous, high-impact business and customer problems into robust, production-ready models and systems. The role is broadly focused on applied AI/ML—not limited to a single technique such as LLMs—and has a strong engineering and coding bar comparable to a senior/principal Applied Scientist role.

What You’ll Do

• Lead the end-to-end development of machine learning and AI solutions: problem formulation, data analysis, feature development, modeling, offline evaluation, experimentation, deployment, and monitoring.
• Design and build high-quality, maintainable production code in Python and related technologies. Write scalable, testable software rather than research-only prototypes.
• Apply appropriate techniques across machine learning, deep learning, NLP, information retrieval, ranking, forecasting, anomaly detection, optimization, generative AI, and LLM-based systems.
• Develop evaluation frameworks that measure model quality, reliability, safety, fairness, latency, and business or clinical impact.
• Drive rigorous experimentation, including experiment design, statistical analysis, error analysis, ablation studies, and root-cause investigation.
• Partner with software engineers to productionize models, define service interfaces, improve inference performance, and establish monitoring and retraining workflows.
• Work closely with product, data engineering, clinical domain, security, and compliance partners to translate real-world needs into durable AI capabilities.
• Set technical direction for complex initiatives, make sound tradeoffs under ambiguity, and influence roadmap decisions through data and scientific judgment.
• Mentor applied scientists and engineers through design reviews, code reviews, technical guidance, and modeling best practices.
• Stay current with relevant research and evaluate emerging methods pragmatically, adopting innovations when they create measurable product value.

About Us

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Oracle Health Data Intelligence is building AI-powered products that help healthcare organizations make better, faster, and more informed decisions. We are seeking a Principal Applied Scientist to lead the development of scalable machine learning and AI solutions across a broad range of product and platform challenges.