Data Scientist 4

As a Lead Data Scientist, you’ll shape next-gen AI capabilities for Clinical Data   Exchange   (CDeX)—where   payers   and   providers   collaborate seamlessly.   You’ll   build   models   that   power   prior   authorization,   risk adjustment, claims adjudication, and more—making data work smarter across the healthcare ecosystem. You’ll also help reduce the administrative burden   on   clinicians,   using   AI   to   automate   documentation,   extract insights, and deliver real-time intelligence when it matters most.  From   classical   ML   to   generative   models,   you’ll   lead   with   purpose designing scalable, responsible AI for real-world impact.

Career Level - IC4

growth and leadership.Responsibilities

• Partner with Product Managers to turn ambitious product visions

into AI-powered solutions that reshape healthcare operations and

experiences.

• Collaborate closely with Clinical Terminologists to ensure models are

clinically sound and aligned with evolving healthcare standards and

vocabularies.

• Work hand-in-hand with UI Engineers and ML Engineers to bring AI

models to life in intuitive, responsive, and scalable products.

• Lead the full lifecycle of AI development—from ideation and research

to deployment and monitoring.

• Apply the latest advancements in machine learning, deep learning,

and generative AI to deliver innovation at scale.

• Architect  high-quality, production-ready  AI   pipelines, ensuring

robustness, accuracy, and compliance with healthcare regulations.

• Develop clean, scalable code and drive best practices across the AI

engineering stack.

• Mentor and inspire a   team of data scientists, fostering technical

growth and leadership.

• Contribute  to   planning, reviews, and   retrospectives—driving

continuous improvement and cross-team alignment.

Anticipate and navigate technical and organizational risks to ensure

project success and sustained impact.

Qualifications and Experience

• Proven experience architecting and deploying scalable AI solutions

in production, with measurable impact across complex, real-world

healthcare or enterprise systems.

• Deep  technical   fluency   in  machine   learning   and  deep   learning

architectures, including   Transformers   and  other   neural   network

frameworks—plus the intuition to choose the right tool for the right

problem.

• Hands-on  expertise   in   Large  Language   Models (LLMs) and

generative  AI, with   experience   in  advanced   prompt   engineering,

instruction fine-tuning, and parameter-efficient tuning techniques.

• Proficiency in Python is a must, with experience applying it to build

and deploy AI/ML models and develop robust, scalable solutions.

• Strong foundation in clinical data, with the ability to extract meaning

from  structured   and   unstructured   sources  and   align   with

interoperability standards such as FHIR, C-CDA, or HL7.

• Experience  building   models   that  support   healthcare-critical

processes  like   prior   authorization, risk   adjustment, clinical

summarization, or claims adjudication is a major advantage.

• Experience  in   building   a  wide   range   of  AI   models—including

classical  ML   models, semantic   search, and  information   retrieval

systems—to power intelligent, high-precision workflows.

• Familiarity with AI evaluation strategies, including data   labeling,

annotation  workflows, human-in-the-loop   review, and   longitudinal

model monitoring in high-stakes environments.

• A natural drive to stay ahead of the curve, with the curiosity to

explore cutting-edge research and the discipline to translate it into

resilient, production-ready systems.

• A track record of technical leadership, including mentoring junior

and senior scientists, championing innovation, and cultivating an

environment of curiosity and excellence.

• Bonus: a strong portfolio of patents, publications, or open source

contributions, reflecting thought leadership and a commitment to

pushing the field forward.

Preferred Qualifications:

• Strong  understanding   of   the  healthcare   ecosystem   and  proven

experience  delivering   AI-driven   solutions  tailored   to   healthcare

applications, transforming patient care and operational efficiency.

• Familiarity  with   the   latest  advancements   in   Natural  Language

Processing (NLP) and   Generative  AI, empowering   you   to  create

advanced  AI   systems   that  interpret, generate, and  interact   with

complex healthcare data.

• Proven ability to design, deploy, and scale these solutions on cloud

platforms, with preference for OCI (Oracle Cloud Infrastructure),

though experience with AWS and Azure is also highly valued.

Education

• A  PhD   in   Computer  Science, Mathematics, Statistics, Physics, Linguistics, or a related discipline, with a deep dive into Machine Learning   and  Deep   Learning   through  your   dissertation   or  final project, coupled with 5+ years of hands-on experience, is highly valued—but not a dealbreaker, OR A master’s or bachelor’s degree in a relevant field, paired with 8+ years of practical, impactful experience in the field, will also make you a strong contender.

you a strong contender

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

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

US: Hiring Range in USD from: $109,200 to $223,400 per annum. May be eligible for bonus and equity.

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.

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Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and 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.

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