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�����ll 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 Data Scientist to modernize OHAI’s Revenue Cycle product portfolio with AI native applications. As a Senior 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.

Career Level �� IC2

Responsibilities

What You’ll Make Happen

• Design and develop solutions 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
  • risk detection/anomaly detection using deep learning ML model
• Work with Engineering team for training data acquisition and data analysis
• Follow 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. 
• 2+ 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 

Career Level - IC2

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�����ll 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 Data Scientist to modernize OHAI’s Revenue Cycle product portfolio with AI native applications. As a Senior 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.

Career Level �� IC2

Responsibilities

What You’ll Make Happen

• Design and develop solutions 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
  • risk detection/anomaly detection using deep learning ML model
• Work with Engineering team for training data acquisition and data analysis
• Follow 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. 
• 2+ 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 

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