Lead Data Scientist - Oracle Health Applications & Infrastructure

A world leader in cloud solutions using tomorrow's technology to tackle today's problems, with 40+ years of experience.
United States
$120,100 - $251,600
Data
Principal Software Engineer
In-Person
5,000+ Employees
10+ years of experience
Healthcare · Enterprise SaaS · AI

Description For Lead Data Scientist - Oracle Health Applications & Infrastructure

Oracle Health Applications & Infrastructure is seeking a Lead Data Scientist to spearhead the modernization of their Revenue Cycle product portfolio with AI-native applications. This role represents a unique opportunity to revolutionize healthcare through advanced AI/ML solutions, working within a dynamic team that operates with a startup mindset while backed by Oracle's established infrastructure.

The position combines the excitement of greenfield development with the stability of a major tech company, offering the chance to design and build new AI native cloud applications from the ground up. The role requires expertise in medical language learning, contract interpretation, and the implementation of cutting-edge ML models for healthcare applications.

As a Lead Data Scientist, you'll be instrumental in developing state-of-the-art models that power the Revenue Cycle product suite, working directly with Oracle Cloud Infrastructure (OCI). The role offers competitive compensation ($120,100 - $251,600) and comprehensive benefits, including medical, dental, vision insurance, 401(k) with company match, and flexible vacation policy.

The ideal candidate will bring 10+ years of data science experience, advanced degree credentials, and deep expertise in NLP and machine learning. You'll work in a collaborative environment where you can make significant technical and business impact, helping to transform healthcare delivery through better data access and improved patient experiences.

This role is perfect for someone who thrives in ambiguous environments, has experience taking products from concept to launch, and is passionate about applying AI/ML solutions to real-world healthcare challenges. You'll be joining a diverse, motivated team that values autonomy and innovation, working on initiatives that have the potential to revolutionize healthcare delivery on a global scale.

Last updated 6 days ago

Responsibilities For Lead Data Scientist - Oracle Health Applications & Infrastructure

  • Design and develop medical language learning through language models
  • Work on medical code and group code using large language models
  • Design contract interpretation systems
  • Transform rules and workflows into decision trees using deep learning ML models
  • Implement risk detection/anomaly detection using deep learning
  • Work with Engineering team on training data acquisition strategy
  • Design and optimize RAG models
  • Fine-tune large language models for healthcare use cases
  • Collaborate with engineers to integrate ML models into production systems

Requirements For Lead Data Scientist - Oracle Health Applications & Infrastructure

Python
Kubernetes
  • Master's degree or PhD in Computer Science, Engineering, Mathematics, or related experience
  • 10+ 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, or R
  • Expertise in developing RAG models
  • Experience with vector databases
  • Strong problem-solving abilities

Benefits For Lead 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 and AD&D
  • Health care and dependent care Flexible Spending Accounts
  • 401(k) Savings with company match
  • Flexible Vacation
  • 11 paid holidays
  • Paid sick leave
  • Paid parental leave
  • Adoption assistance
  • Employee Stock Purchase Plan

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