Principal Data Scientist - Oracle Health Applications & Infrastructure

A world leader in cloud solutions using tomorrow's technology to tackle today's problems.
$109,100 - $223,500
Data
Principal Software Engineer
In-Person
5,000+ Employees
8+ years of experience
Healthcare · AI · Enterprise SaaS

Description For Principal Data Scientist - Oracle Health Applications & Infrastructure

At Oracle Health Applications & Infrastructure (OHAI), we're revolutionizing healthcare through AI/ML and Generative AI solutions. As a Principal Data Scientist, you'll join our mission to improve healthcare and quality of life globally by developing cutting-edge AI solutions for healthcare applications.

This role offers a unique opportunity to design and build new AI native cloud applications from the ground up. You'll be working on transformative projects including medical language learning, contract interpretation, and risk detection using advanced ML models. The position combines the innovative spirit of a startup with the stability and resources of Oracle.

You'll be responsible for architecting, developing, and deploying state-of-the-art models to power our Revenue Cycle product suite. Working with cross-functional teams, you'll leverage the latest in AI technology, including RAG models and large language models, to solve complex healthcare challenges. The platform is built on Oracle Cloud Infrastructure (OCI) using cloud native principles, designed for global scale.

The ideal candidate brings 8+ years of data science experience, with deep expertise in NLP and machine learning. You should be comfortable with Python, major ML frameworks, and cloud technologies. We're looking for someone who can drive projects independently while collaborating effectively with diverse teams.

Benefits include comprehensive healthcare coverage, 401(k) with company match, flexible vacation, and various insurance options. The compensation range is $109,100 to $223,500 per annum, with potential for bonus and equity.

Join us in transforming healthcare through technology, working in an environment that combines startup agility with enterprise resources. You'll have the opportunity to make significant technical and business impact while working on meaningful healthcare challenges.

Last updated an hour ago

Responsibilities For Principal Data Scientist - Oracle Health Applications & Infrastructure

  • Design and develop solutions for medical language learning through language models
  • Develop medical code and group code using large language models
  • Work with Engineering team for training data acquisition and analysis
  • Design, develop, and optimize RAG models
  • Fine-tune and optimize large language models
  • Implement cutting-edge NLP, NLU, and NLG techniques
  • Collaborate with engineers to integrate machine learning models into production systems

Requirements For Principal Data Scientist - Oracle Health Applications & Infrastructure

Python
Kubernetes
  • Master's degree or PhD in Computer Science, Engineering, Mathematics, or related experience
  • 8 years of experience in data science
  • Strong programming skills in Python
  • Experience with cloud platforms and containerization technologies
  • Solid understanding of NLP fundamentals
  • Strong communication skills
  • Experience with machine learning libraries like TensorFlow, PyTorch
  • Expertise in developing RAG models and working with vector databases

Benefits For Principal Data Scientist - Oracle Health Applications & Infrastructure

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
  • Medical, dental, and vision insurance
  • Short term and long term disability
  • Life insurance
  • 401(k) with company match
  • Flexible vacation
  • 11 paid holidays
  • Paid sick leave
  • Paid parental leave
  • Adoption assistance
  • Employee Stock Purchase Plan

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