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
8+ years of experience
AI · Healthcare · Enterprise SaaS

Description For Principal Data Scientist - Oracle Health Applications & Infrastructure

At Oracle Health Applications & Infrastructure (OHAI), we're on a mission to revolutionize healthcare through AI/ML and Generative AI. As a Principal Data Scientist, you'll join our team to modernize OHAI's Revenue Cycle product portfolio with AI-native applications. This is a greenfield opportunity to design and build new cloud applications from the ground up, working with cutting-edge technology in healthcare solutions.

You'll be working on challenging problems such as medical language learning, autonomous coding and billing, semantic search, and contract interpretation. The role combines the excitement of a startup environment with the stability of Oracle, offering the chance to make significant technical and business impact. You'll collaborate with cross-functional teams to develop state-of-the-art models using Oracle Cloud Infrastructure (OCI).

The position offers competitive compensation ($109,100 - $223,500) and comprehensive benefits including medical, dental, vision insurance, 401(k) with company match, flexible vacation, and parental leave. We're building to scale globally, using state-of-the-art tooling with zero downtime. You'll be part of a diverse, motivated team that values autonomy and innovation.

Key technical aspects include working with large language models, RAG (Retrieval-Augmented Generation) models, vector databases, and advanced NLP techniques. You'll need strong programming skills in Python, experience with cloud platforms, and deep understanding of machine learning systems. The role requires both technical expertise and the ability to collaborate effectively with stakeholders across the organization.

Join us in transforming healthcare through technology, working on meaningful problems that impact people's lives while enjoying the benefits of a stable, growing organization with a startup mindset. We're looking for someone who can thrive in ambiguity, take ownership, and drive projects from conception to completion.

Last updated 3 months ago

Responsibilities For Principal Data Scientist - Oracle Health Applications & Infrastructure

  • Design and develop medical language learning solutions through language models
  • Develop medical code and group code using large language models
  • Work on contract interpretation
  • Transform rules and workflows into decision trees using deep learning ML models
  • Implement risk detection/anomaly detection using deep learning ML models
  • Design and optimize RAG models for information retrieval
  • Fine-tune large language models for healthcare use cases
  • Collaborate with engineers to integrate ML 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
  • Expertise in developing RAG models and fine-tuning large language models
  • Strong communication skills
  • Comfortable with ambiguity and strong sense of ownership
  • Experience taking a product or platform from 0 to 1

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

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