Principal Applied Scientist

About the job

Oracle Health Data Intelligence (HDI) is building AI-powered solutions that help healthcare organizations improve population health. We are seeking a Principal Applied Scientist to develop advanced AI capabilities, with an emphasis on large language models, agentic systems, model post-training, and evaluation. This is a hands-on individual contributor role for an experienced scientist who can translate complex problems into reliable, production-ready systems. You will combine scientific rigor with strong software engineering to develop models, build agents, and implement training and evaluation infrastructure.

Responsibilities

What You’ll Do

• Develop AI/ML solutions across the full lifecycle, from problem formulation and experimentation through deployment and monitoring.

• Design and build LLM-based agents, including reasoning, planning, retrieval, tool use, and orchestration.

• Apply model post-training techniques, including supervised fine-tuning, preference optimization, and reinforcement learning where appropriate.

• Build high-quality datasets and feedback pipelines for training, evaluation, and continuous improvement.

• Implement agent and evaluation harnesses that support reproducible experimentation, trace analysis, benchmarking, and regression testing.

• Evaluate model and agent quality, reliability, safety, latency, and cost using automated methods and expert feedback.

• Conduct rigorous error analysis and controlled experiments to identify failure modes and improve performance.

• Write scalable, maintainable production code in Python and work with engineers to operationalize AI systems.

• Collaborate with product, clinical, data engineering, security, and compliance partners to understand requirements and assess results.

• Contribute to technical discussions, design reviews, and code reviews.

• Evaluate emerging research and apply methods that deliver measurable improvements.

Basic Qualifications

• PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience; or a Master’s degree with 6+ years of relevant industry experience.

• 10+ years of experience applying machine learning, data science, or AI to real-world problems.

• Strong Python programming skills, including experience writing efficient, production-quality code with appropriate testing and documentation.

• Experience building and deploying LLM-based systems, including agents, retrieval, and tool use.

• Hands-on experience with model post-training, such as supervised fine-tuning, preference optimization, or reinforcement learning.

• Experience developing evaluation frameworks, benchmarks, and experimental infrastructure for models and agents.

• Deep understanding of machine learning, optimization, statistical inference, and experimental design.

• Experience with modern ML frameworks such as PyTorch, TensorFlow, JAX, or equivalent tools.

• Demonstrated ability to independently execute complex technical work and collaborate across disciplines.

• Strong written and verbal communication skills.

Preferred Qualifications

• Experience building agent harnesses and infrastructure for reliable execution, observability, and evaluation.

• Experience with reward modeling, synthetic data generation, and human or AI feedback.

• Experience with distributed training, inference optimization, and cloud-scale ML platforms.

• Experience developing AI systems for high-reliability, privacy-sensitive, or regulated environments.

• Experience with healthcare data or population health.

Level: IC4

Qualifications

Minimum Job Qualifications Education and/or Experience: 11 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field

OR

Bachelor's Degree in Mathematics or Statistics, Computer Science, Data Science, Physics, or related field AND 7 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field

OR

Master's Degree in Mathematics or Statistics, Computer Science, Data Science, Physics, or related field AND 5 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field

OR

Doctorate in Mathematics or Statistics, Computer Science, Data Science, Physics, or related field AND 3 year of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field.

Job Skills: Same skills as prior level plus; Predictive Analytics Demonstrated expertise in building and applying predictive analytics to identify trends and inform strategic decisions. Natural Language Processing Demonstrated ability to utilize NLP techniques and frameworks for advanced language data processing. Statistical Analysis Demonstrated ability to conduct statistical analyses and interpret business or research data. Machine Learning Frameworks Demonstrated ability to use machine learning frameworks to develop and optimize models for real-world business scenarios. Generative Artificial Intelligence (GenAI) Model Building Demonstrated ability in or knowledge of GenAI model building, including training, fine-tuning, and monitoring generative AI solutions. Data Analysis Demonstrated ability to analyze and interpret data to produce actionable business insights. Research Demonstrated ability in or knowledge of research, including gathering information, formulating questions, and interpreting results to address objectives. Research Planning and Literature Review Demonstrated ability in or knowledge of research planning and literature review, including comprehending and critiquing previous research to inform future work.

Programming Language: 3 years of experience in applicable programming language.

Preferred Job Qualifications Education and/or Experience: 12 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field

OR

Bachelor's Degree in Mathematics or Statistics, Computer Science, Data Science, Physics, or related field AND 8 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field

OR

Master's Degree in Mathematics or Statistics, Computer Science, Data Science, Physics, or related field AND 6 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field

OR

Doctorate in Mathematics or Statistics, Computer Science, Data Science, Physics, or related field AND 4 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field. Academic Writing and Publication: 3 years of experience creating publications (e.g., white papers, peer-reviewed conference or journal articles).

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.

Additional Information

• Job Identification: 347839
• Job Category: Product and Research
• Posting Date: 2026-10-23
• Role: Individual Contributor
• Job Type: Regular Employee
• Does this position require a security clearance?: No
• Years: 6 to 10+ years
• Additional Info: Visa / work permit sponsorship is not available for this position
• Applicants are required to read, write, and speak the following languages: English