Oracle Lead Data Scientist - Oracle Health Applications & Infrastructure in Honolulu, Hawaii   Job Description
At Oracle Health Applications & Infrastructure, our mission is to improve healthcare and quality of life globally through better experience and easier access to health data for patients and healthcare providers. We are looking for hands-on data science engineers with expertise and passion in solving difficult problems in healthcare such as contact and information management, automation of payer payee workflows, case management, autonomous coding and billing, semantic search, and ranking to name a few. We intend to revolutionize the healthcare industry by leveraging AI/ML and Generative AI and redefine customer experience.
This is a greenfield opportunity to design and build new AI native cloud applications from the ground up. We are growing fast, still at an early stage, and working on new initiatives. An engineer at any level can have significant technical and business impact here. You will be part of a team of hard-working, motivated, a diverse set of people, and given the autonomy as well as support to do your best work. It is a dynamic and flexible workplace where you will belong and be encouraged.
We operate with a startup mindset providing the best of two worlds -- the autonomy to iterate on new ideas, working on cutting-edge technology, while sitting within a stable, larger organization at Oracle. We’re working on big goals, and we need talented folks with equally big ambitions. Join us!
About the Job
We're seeking a highly skilled Lead Data Scientist to modernize OHAI’s Revenue Cycle product portfolio with AI native applications. As a Lead Data Scientist specializing in AI/ML, you will play a pivotal role in architecting, developing, and deploying state-of-the-art models to power our Revenue Cycle product suite. You will collaborate closely with cross-functional teams including product managers, software engineers, and data scientists to unlock machine learning capabilities in all our products. Our new platform will be built directly on Oracle Cloud Infrastructure (OCI) based on cloud native principles. We build to scale globally, leveraging state-of-the-art tooling, with zero downtime.
Responsibilities
Design and develop strategy for medical language learning through language models.
Develop medical code and group code (per various specifications) using large language models.
Contract interpretation and transforming rules and workflows into decision tree using deep learning ML models.
Work with Engineering team to lay out training data acquisition strategy.
Lay out the process for ML use case evaluation and planning.
Design, develop, and optimize RAG (Retrieval-Augmented Generation) models to facilitate effective information retrieval.
Utilize vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts.
Fine-tune and optimize large language models such as Cohere for specific use cases in healthcare.
Implement and experiment with cutting-edge NLP, NLU, and NLG techniques to solve various use cases.
Collaborate with engineers to integrate machine learning models into production systems, ensuring scalability, reliability, and performance.
About You (Qualifications)
Master's degree or PhD in Computer Science, Engineering, Mathematics, or related experience.
10+ years of experience in data science with a focus on building and deploying language AI.
Strong programming skills in Python and proficiency with machine learning libraries such as TensorFlow, PyTorch, or R.
Experience with cloud platforms (e.g., AWS, OCI) and containerization technologies (e.g., Docker, Kubernetes).
Solid understanding of NLP fundamentals and experience with NLU/NLG techniques such as sentiment analysis, entity recognition, and text generation.
Preference for expertise in developing RAG models, working with vector databases, and fine-tuning large language models.
Excellent problem-solving abilities and a pragmatic approach to building scalable and robust machine learning systems.
Strong communication skills with the ability to collaborate effectively with cross-functional teams and articulate complex technical concepts to non-technical stakeholders.
You are comfortable with ambiguity, have a strong sense of ownership, can define your own workplan, set goals for others, and can drive projects to completion.
You are excited to learn new technologies and stay on the cutting edge of what’s possible.
You’ve taken a product or platform from 0 to 1, you know what it takes to launch something.
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: $120,100 to $251,600 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:
Medical, dental, and vision insurance, including expert medical opinion.
Short term disability and long term disability.
Life insurance and AD&D.
Health care and dependent care Flexible Spending Accounts.
Pre-tax commuter and parking benefits.
401(k) Savings and Investment Plan with company match.
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.
11 paid holidays.
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.
Paid parental leave.
Adoption assistance.
Employee Stock Purchase Plan.
Financial planning and group legal.
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.
About Us
As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.
When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.
We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first 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 calling +1 888 404 2494, option one.
Disclaimer:
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.
* Which includes being a United States Affirmative Action Employer

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Oracle Lead Data Scientist - Oracle Health Applications & Infrastructure    Providence ,  Rhode Island Apply Now  At Oracle Health Applications & Infrastructure, our mission is to improve healthcare and quality of life globally through better experience and easier access to health data for patients and healthcare providers. We are looking for hands-on data science engineers with expertise and passion in solving difficult problems in healthcare such as contact and information management, automation of payer payee workflows, case management, autonomous coding and billing, semantic search, and ranking to name a few. We intend to revolutionize the healthcare industry by leveraging AI/ML and Generative AI and redefine customer experience.
This is a greenfield opportunity to design and build new AI native cloud applications from the ground up. We are growing fast, still at an early stage, and working on new initiatives. An engineer at any level can have significant technical and business impact here. You will be part of a team of hard-working, motivated, a diverse set of people, and given the autonomy as well as support to do your best work. It is a dynamic and flexible workplace where you will belong and be encouraged.
We operate with a startup mindset providing the best of two worlds -- the autonomy to iterate on new ideas, working on cutting-edge technology, while sitting within a stable, larger organization at Oracle. We’re working on big goals, and we need talented folks with equally big ambitions. Join us!
About the Job
We're seeking a highly skilled Lead Data Scientist to modernize OHAI’s Revenue Cycle product portfolio with AI native applications. As a Lead Data Scientist specializing in AI/ML, you will play a pivotal role in architecting, developing, and deploying state-of-the-art models to power our Revenue Cycle product suite. You will collaborate closely with cross-functional teams including product managers, software engineers, and data scientists to unlock machine learning capabilities in all our products. Our new platform will be built directly on Oracle Cloud Infrastructure (OCI) based on cloud native principles. We build to scale globally, leveraging state-of-the-art tooling, with zero downtime.
Responsibilities
Design and develop strategy for medical language learning through language models
Medical code and group code (per various specifications) using large language model
Contract interpretation
Transforming rules and workflows into decision tree using deep learning ML models
Work with Engineering team to lay out training data acquisition strategy
Lay out the process for ML use case evaluation and planning
Design, develop, and optimize RAG (Retrieval-Augmented Generation) models to facilitate effective information retrieval
Utilize vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts
Fine-tune and optimize large language models such as Cohere for specific use cases in the healthcare.
Implement and experiment with cutting-edge NLP, NLU, and NLG techniques to solve various use cases.
Collaborate with engineers to integrate machine learning models into production systems, ensuring scalability, reliability, and performance
About You (Qualifications)
Master's degree or PhD in Computer Science, Engineering, Mathematics, or related experience.
10+ years of experience in data science
Focus on building and deploying language AI
Strong programming skills in Python and proficiency with machine learning libraries such as TensorFlow, PyTorch, or R.
Experience with cloud platforms (e.g., AWS, OCI) and containerization technologies (e.g., Docker, Kubernetes).
Solid understanding of NLP fundamentals and experience with NLU/NLG techniques such as sentiment analysis, entity recognition, and text generation.
Preference for expertise in developing RAG models, working with vector databases, and fine-tuning large language models.
Excellent problem-solving abilities and a pragmatic approach to building scalable and robust machine learning systems.
Strong communication skills with the ability to collaborate effectively with cross-functional teams and articulate complex technical concepts to non-technical stakeholders
You are comfortable with ambiguity. You have a strong sense of ownership, can define your own workplan, set goals for others, and can drive projects to completion.
You are excited to learn new technologies and stay on the cutting edge of what’s possible
You’ve taken a product or platform from 0 to 1, you know what it takes to launch something
Responsibilities
Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and

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