Chief Applied Scientist – AI & Agentic Systems (Healthcare & Life Sciences)

About Oracle Health

Oracle Health is on a bold journey to advance how health happens by creating a human-centric experience powered by global data. Our mission is to support clinicians, empower patients, and fuel innovation that saves lives.

As part of this transformation, Oracle Health is expanding into Life Sciences and Clinical Trials, building next-generation platforms that accelerate drug development, enable real-world evidence, and improve patient outcomes globally.

About the Team

The Oracle Health Data Intelligence (HDI) team is redefining how healthcare and life sciences organizations use data and AI to drive innovation. We are building a cloud-first platform that integrates clinical, research, and operational data to power insights across healthcare providers, pharmaceutical companies, and global health systems.

Our focus areas include:

• Population health and clinical data platforms
• Clinical trials and life sciences innovation
• Real-world evidence and safety analytics
• AI-driven insights and intelligent agentic systems

Role Overview

We are seeking a highly technical Applied Scientist (IC6) to lead the design and development of AI-powered agentic systems for healthcare and life sciences.

This is a hands-on individual contributor role with technical leadership responsibilities. You will operate as a player-coach, leading a small team (3–5 engineers/scientists) while actively building and deploying production-grade AI systems.

You will leverage generative AI, large language models (LLMs), and advanced machine learning techniques to create intelligent systems that automate complex workflows across population health, clinical data, and clinical trials.

This role is ideal for someone who:

• Has experience in healthcare, population health, or life sciences domains
• Has built and deployed AI/ML systems and AI agents in production
• Enjoys being deeply hands-on with coding and system design
• May be a current or former manager who wants to return to a high-impact IC role

Responsibilities

Key Responsibilities

• Technical Leadership & Ownership
• Lead the design and implementation of end-to-end AI/ML systems, from data ingestion to deployment
• Architect and build AI agents and agentic workflows to automate complex healthcare and life sciences processes
• Provide technical leadership to a small team (3–5), driving execution while remaining hands-on

• Generative AI & Agentic Systems
• Design and develop LLM-powered applications and AI agents for real-world healthcare use cases
• Build intelligent systems for workflows such as:
• Clinical summarization and documentation
• Chart review and care plan generation
• Clinical trial matching and patient stratification
• Population health analytics and quality measurement
• Apply advanced techniques such as prompt engineering, fine-tuning, and RLHF to optimize model performance