Principal Applied Scientist

Oracle Health Data Intelligence (HDI) uses data and AI to help healthcare and life sciences organizations turn complex information into useful insights and better decisions. Our teams build products for challenges across clinical, operational, and life sciences workflows.

We are seeking a Principal Applied Scientist to design and build production AI systems, with a particular focus on agents powered by large language models (LLMs). You will help determine how agents reason, use tools, retrieve information, and complete complex tasks reliably. This is a hands-on role for someone who can move from an ambiguous customer problem to a working product capability.

The ideal candidate brings strong experience with generative AI and LLM-based systems, along with the machine learning and statistical skills needed to evaluate them rigorously. You will work closely with engineering, product, and domain experts to make sound technical choices in an environment where accuracy, privacy, and trust matter.

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.

Disclaimer:

Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $126,200 to $264,100 per annum. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle''s differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:

1. Medical, dental, and vision insurance, including expert medical opinion

2. Short term disability and long term disability

3. Life insurance and AD&D

4. Supplemental life insurance (Employee/Spouse/Child)

5. Health care and dependent care Flexible Spending Accounts

6. Pre-tax commuter and parking benefits

7. 401(k) Savings and Investment Plan with company match

8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.

9. 11 paid holidays

10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.

11. Paid parental leave

12. Adoption assistance

13. Employee Stock Purchase Plan

14. Financial planning and group legal

15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

As part of Oracle''s onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment.

• Lead the design, development, evaluation, and deployment of LLM-based agents and other AI capabilities for HDI products.
• Build agent workflows that combine reasoning, tool use, information retrieval, and appropriate human review to address real-world healthcare and life sciences needs.
• Develop production-quality code and collaborate with engineers on system design, integration, performance, monitoring, and ongoing improvement.
• Establish practical evaluation methods for agent behavior and model outputs, including task success, accuracy, reliability, safety, latency, and failure modes.
• Apply statistical analysis, experimentation, and traditional machine learning methods where they improve system performance or help explain results.
• Investigate errors and unexpected behavior, identify root causes, and turn findings into measurable improvements.
• Partner with product, engineering, clinical, data, security, and compliance colleagues to translate user needs into scalable, responsible AI solutions.
• Set technical direction for complex projects, communicate tradeoffs clearly, and mentor scientists and engineers through design and code reviews.
• Assess emerging approaches and frameworks, adopting them when they provide clear value for customers.

Education and experience - one of the following:

• 10 years of relevant experience in data science, machine learning, artificial intelligence, natural language processing, statistical modeling, or a related field; or
• A bachelor's degree in a related quantitative or technical field and 7 years of relevant experience; or
• A master's degree in a related quantitative or technical field and 5 years of relevant experience; or
• A doctorate in a related quantitative or technical field and 3 years of relevant experience.

Additional qualifications:

• Strong programming skills, including at least 3 years of experience in an applicable programming language. Experience writing maintainable, production-quality Python code is especially relevant.
• Hands-on experience developing LLM or generative AI applications, including the ability to assess output quality and system behavior.
• Experience designing experiments, performing statistical analysis, and evaluating AI or machine learning systems.
• Ability to lead ambiguous technical work and collaborate effectively across science, engineering, and product teams.
• Strong written and verbal communication skills.

Preferred Qualifications

• Healthcare experience is desired, including work with healthcare data, clinical or operational workflows, or AI products used by healthcare organizations. Relevant life sciences, pharmaceutical, or clinical trials experience is also valuable.
• Experience building AI agents, including tool use, orchestration, multi-step reasoning, and evaluation. Familiarity with frameworks such as LangGraph or comparable agent development tools is a plus.
• Experience with retrieval-augmented generation, information retrieval, model adaptation, or LLM evaluation.
• Experience developing AI systems for privacy-sensitive, regulated, or high-reliability environments.
• Experience in healthcare, life sciences, pharmaceuticals, or clinical trials. Domain experience is welcome but not required.
• Experience mentoring other technical contributors and influencing product or technical direction.
• At least 3 years of experience creating technical or academic publications, such as white papers or peer-reviewed conference or journal articles.

Career Level - IC4

• Lead the design, development, evaluation, and deployment of LLM-based agents and other AI capabilities for HDI products.
• Build agent workflows that combine reasoning, tool use, information retrieval, and appropriate human review to address real-world healthcare and life sciences needs.
• Develop production-quality code and collaborate with engineers on system design, integration, performance, monitoring, and ongoing improvement.
• Establish practical evaluation methods for agent behavior and model outputs, including task success, accuracy, reliability, safety, latency, and failure modes.
• Apply statistical analysis, experimentation, and traditional machine learning methods where they improve system performance or help explain results.
• Investigate errors and unexpected behavior, identify root causes, and turn findings into measurable improvements.
• Partner with product, engineering, clinical, data, security, and compliance colleagues to translate user needs into scalable, responsible AI solutions.
• Set technical direction for complex projects, communicate tradeoffs clearly, and mentor scientists and engineers through design and code reviews.
• Assess emerging approaches and frameworks, adopting them when they provide clear value for customers.

Education and experience - one of the following:

• 10 years of relevant experience in data science, machine learning, artificial intelligence, natural language processing, statistical modeling, or a related field; or
• A bachelor's degree in a related quantitative or technical field and 7 years of relevant experience; or
• A master's degree in a related quantitative or technical field and 5 years of relevant experience; or
• A doctorate in a related quantitative or technical field and 3 years of relevant experience.

Additional qualifications:

• Strong programming skills, including at least 3 years of experience in an applicable programming language. Experience writing maintainable, production-quality Python code is especially relevant.
• Hands-on experience developing LLM or generative AI applications, including the ability to assess output quality and system behavior.
• Experience designing experiments, performing statistical analysis, and evaluating AI or machine learning systems.
• Ability to lead ambiguous technical work and collaborate effectively across science, engineering, and product teams.
• Strong written and verbal communication skills.

Preferred Qualifications

• Healthcare experience is desired, including work with healthcare data, clinical or operational workflows, or AI products used by healthcare organizations. Relevant life sciences, pharmaceutical, or clinical trials experience is also valuable.
• Experience building AI agents, including tool use, orchestration, multi-step reasoning, and evaluation. Familiarity with frameworks such as LangGraph or comparable agent development tools is a plus.
• Experience with retrieval-augmented generation, information retrieval, model adaptation, or LLM evaluation.
• Experience developing AI systems for privacy-sensitive, regulated, or high-reliability environments.
• Experience in healthcare, life sciences, pharmaceuticals, or clinical trials. Domain experience is welcome but not required.
• Experience mentoring other technical contributors and influencing product or technical direction.
• At least 3 years of experience creating technical or academic publications, such as white papers or peer-reviewed conference or journal articles.

Career Level - IC4