{"id":3172721,"url":"https://alion.io/job/opower-principal-applied-scientist-4","title":"Principal Applied Scientist","company":{"id":1813620,"name":"Opower","domain":"opower.com","url":"https://alion.io/company/opower","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":83,"open_postings":92,"ghost_share":0,"stale_share":0.87,"repost_share":0.022,"time_to_fill_p50_days":18,"computed_at":"2026-10-30T05:48:23Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":126200,"max":264100,"currency":"USD","period":"year","gross":null,"usd_annual":264100},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"AI Agents","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-10-15T14:02:43Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-30T15:19:52Z","board_verified":true,"closed_at":null,"days_open":15,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":15},"description":"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.\nWe 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.\nThe 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.\n Lead the design, development, evaluation, and deployment of LLM-based agents and other AI capabilities for HDI products.\nBuild agent workflows that combine reasoning, tool use, information retrieval, and appropriate human review to address real-world healthcare and life sciences needs.\nDevelop production-quality code and collaborate with engineers on system design, integration, performance, monitoring, and ongoing improvement.\nEstablish practical evaluation methods for agent behavior and model outputs, including task success, accuracy, reliability, safety, latency, and failure modes.\nApply statistical analysis, experimentation, and traditional machine learning methods where they improve system performance or help explain results.\nInvestigate errors and unexpected behavior, identify root causes, and turn findings into measurable improvements.\nPartner with product, engineering, clinical, data, security, and compliance colleagues to translate user needs into scalable, responsible AI solutions.\nSet technical direction for complex projects, communicate tradeoffs clearly, and mentor scientists and engineers through design and code reviews.\nAssess emerging approaches and frameworks, adopting them when they provide clear value for customers.\nEducation and experience - one of the following:\n10 years of relevant experience in data science, machine learning, artificial intelligence, natural language processing, statistical modeling, or a related field; or\nA bachelor’s degree in a related quantitative or technical field and 7 years of relevant experience; or\nA master’s degree in a related quantitative or technical field and 5 years of relevant experience; or\nA doctorate in a related quantitative or technical field and 3 years of relevant experience.\nAdditional qualifications:\nStrong programming skills, including at least 3 years of experience in an applicable programming language. Experience writing maintainable, production-quality Python code is especially relevant.\nHands-on experience developing LLM or generative AI applications, including the ability to assess output quality and system behavior.\nExperience designing experiments, performing statistical analysis, and evaluating AI or machine learning systems.\nAbility to lead ambiguous technical work and collaborate effectively across science, engineering, and product teams.\nStrong written and verbal communication skills.\nPreferred Qualifications\nHealthcare 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.\nExperience 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.\nExperience with retrieval-augmented generation, information retrieval, model adaptation, or LLM evaluation.\nExperience developing AI systems for privacy-sensitive, regulated, or high-reliability environments.\nExperience in healthcare, life sciences, pharmaceuticals, or clinical trials. Domain experience is welcome but not required.\nExperience mentoring other technical contributors and influencing product or technical direction.\nAt least 3 years of experience creating technical or academic publications, such as white papers or peer-reviewed conference or journal articles.\nCareer Level - IC4\nDisclaimer: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.\nRange and benefit information provided in this posting are specific to the stated locations only\nUS: Hiring Range in USD from: $126,200 to $264,100 per annum. May be eligible for bonus, equity, and compensation deferral.\nOracle 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.\nCandidates are typically placed into the range based on the preceding factors as well as internal peer equity.\nOracle US offers a comprehensive benefits package which includes the following:\n1. Medical, dental, and vision insurance, including expert medical opinion\n2. Short term disability and long term disability\n3. Life insurance and AD&D\n4. Supplemental life insurance (Employee/Spouse/Child)\n5. Health care and dependent care Flexible Spending Accounts\n6. Pre-tax commuter and parking benefits\n7. 401(k) Savings and Investment Plan with company match\n8. 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.\n9. 11 paid holidays\n10. 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.\n11. Paid parental leave\n12. Adoption assistance\n13. Employee Stock Purchase Plan\n14. Financial planning and group legal\n15. Voluntary benefits including auto, homeowner and pet insurance\nThe role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.\nAs 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. 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