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

**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**
• *1. 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

• *2. 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

• *3. Healthcare & Life Sciences Solutions**

+ 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)

• *4. Scalable System Development**

+ 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

• *5. Cross-Functional Collaboration**

+ 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

• *6. Innovation & Mentorship**

+ 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**

+ Domain expertise in:

+ Population Health

+ Clinical Data / EHR systems

+ Life Sciences / Clinical Trials

+ Experience with organizations or platforms such as:

+ Epic, Innovaccer, Acadia

+ Truveta, IQVIA

+ Expertise in **Generative AI and LLM frameworks** (e.g., GPT, transformer-based models)

+ Experience with:

+ PyTorch, TensorF