Principal Applied Scientist

Oracle•United States,
•$126,200 - $264,100

About The Position

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. The Principal Applied Scientist will design and build production AI systems, especially agents powered by large language models (LLMs), determining how agents reason, use tools, retrieve information, and reliably complete complex tasks. This hands-on role involves translating ambiguous customer problems into working product capabilities. The role calls for strong generative AI and LLM systems experience, alongside machine learning and statistical expertise to evaluate systems rigorously. The scientist partners with engineering, product, and domain experts to make sound technical decisions in an environment where accuracy, privacy, and trust are important.

Requirements

  • At least 10 years of relevant experience in data science, machine learning, artificial intelligence, natural language processing, statistical modeling, or a related field; or a related quantitative or technical bachelor’s degree and 7 years of relevant experience; or a related quantitative or technical master’s degree and 5 years of relevant experience; or a related quantitative or technical doctorate and 3 years of relevant experience.
  • Strong programming skills, including at least 3 years of experience in an applicable programming language; maintainable, production-quality Python experience is especially relevant.
  • Hands-on experience developing LLM or generative AI applications, including assessing 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.

Nice To Haves

  • Healthcare experience, 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 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 mentoring 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.

Responsibilities

  • Lead the design, development, evaluation, and deployment of LLM-based agents and other AI capabilities for HDI products.
  • Build agent workflows combining reasoning, tool use, information retrieval, and appropriate human review for healthcare and life sciences needs.
  • Develop production-quality code and collaborate with engineers on system design, integration, performance, monitoring, and continuous 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 to improve system performance or 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, and mentor scientists and engineers through design and code reviews.
  • Assess emerging approaches and frameworks, adopting them when they provide clear customer value.

Benefits

  • Medical, dental, and vision insurance, including expert medical opinion.
  • Short-term and long-term disability.
  • Life insurance and AD&D.
  • Supplemental life insurance for employees, spouses, and children.
  • Health care and dependent care Flexible Spending Accounts.
  • Pre-tax commuter and parking benefits.
  • 401(k) Savings and Investment Plan with company match.
  • Flexible or accrued vacation, depending on eligibility and position; accrual varies by hours worked and length of employment.
  • 11 paid holidays.
  • Paid sick leave: 72 hours upon hire, refreshed each calendar year, with unused balance carrying over up to a maximum of 112 hours.
  • Paid parental leave.
  • Adoption assistance.
  • Employee Stock Purchase Plan.
  • Financial planning and group legal benefits.
  • Voluntary auto, homeowner, and pet insurance benefits.
  • May be eligible for bonus, equity, and compensation deferral.
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