Job Description
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
- 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
- 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
- Work with clinical, population health, and life sciences datasets (EHR, claims, research data)
- Translate domain requirements into scalable AI solutions for:
- Clinical trials and safety monitoring
- Real-world evidence generation
- Value-based care and outcomes analysis
- Ensure solutions align with healthcare regulations and compliance standards (e.g., HIPAA, HITRUST)
- Build and maintain scalable data pipelines and AI infrastructure
- Integrate structured and unstructured data into AI/ML systems
- Deploy solutions in cloud environments (OCI, AWS, Azure, or GCP) with a focus on reliability and performance
- Partner with engineering, product, and domain experts to deliver impactful solutions
- Act as a bridge between technical teams and healthcare/life sciences stakeholders
- Drive adoption of AI solutions in clinical and operational workflows
- Stay at the forefront of AI, LLMs, and agentic system advancements
- Mentor team members and contribute to a culture of technical excellence
- Influence the direction of AI innovation within Oracle Health
Basic Qualifications
- 10+ years of experience in AI/ML, applied science, or related technical roles
- Proven experience building and deploying production-grade AI/ML systems
- Strong hands-on programming skills (e.g., Python, Java, or C++ )
- Experience designing or implementing AI agents or agentic workflows
- Experience leading end-to-end system design and delivery
Preferred Qualifications
- Clinical Data / EHR systems
- Life Sciences / Clinical Trials
- Experience with organizations or platforms such as:
- Expertise in Generative AI and LLM frameworks (e.g., GPT, transformer-based models)
- PyTorch, TensorFlow, Hugging Face Transformers
- Multi-modal data (text, imaging, structured data)
- Distributed systems and l