Principal Applied Scientist - Health Data/Novel AI

Oracle Health Data Intelligence (HDI) is leading the charge in transforming healthcare with innovative data and AI solutions. We’re seeking a highly skilled individual contributor to join our team in the USA. This role focuses on leveraging advanced machine learning techniques, including generative AI, large language models (LLMs), and AI agents, to address complex healthcare challenges. At HDI, we aim to revolutionize patient care, optimize healthcare delivery, and drive operational excellence through data and technology.

Career Level - IC4

Responsibilities

1. Technical Leadership:

• Serve as a key technical expert in designing, developing, and deploying AI/ML solutions with a focus on GenAI and LLM applications for healthcare.

• Architect and implement AI agents that automate complex workflows, such as generating real-time clinical summaries and assisting in patient care management.

• Integrate LLM capabilities with healthcare datasets, ensuring robust performance, scalability, and adherence to compliance standards.

2. Generative AI & LLM Innovation:

• Develop and fine-tune LLMs for healthcare-specific use cases, such as automated documentation, question answering, and predictive analytics.

• Apply generative AI to synthesize insights from multi-modal healthcare data (e.g., EHRs, imaging, claims, and demographics) to enhance patient care and operational efficiency.

• Explore and implement reinforcement learning and human feedback (RLHF) approaches to improve model performance in real-world healthcare settings.

3. Solution Development:

• Design intelligent AI agents to automate tasks, such as chart reviews, care plan generation, and clinical quality analytics.

• Oversee the creation of scalable pipelines for integrating healthcare data into GenAI models while maintaining data privacy and security (e.g., HIPAA, HITRUST compliance).

4. Strategic Collaboration:

• Work with cross-functional teams, including healthcare providers and engineers, to align GenAI and LLM initiatives with business objectives and healthcare requirements.

• Serve as a bridge between technical teams and business stakeholders to drive adoption of AI solutions in clinical and operational workflows.

5. Performance Optimization:

• Lead efforts to optimize LLM performance for real-time, high accuracy use cases in healthcare environments.

• Implement monitoring frameworks to ensure AI/ML solutions meet quality benchmarks and provide actionable insights efficiently.

6. Thought Leadership:

• Stay at the cutting edge of GenAI, LLM, and AI agent advancements, contributing to Oracle’s leadership in intelligent healthcare innovation.

• Publish findings, present at industry conferences, and mentor junior team members on best practices for generative AI and LLM development.

 

Qualifications

• Education: Master’s degree in computer science, Machine Learning, Artificial Intelligence, or a related field. Ph.D. preferred.

• Experience:

• 8+ years of hands-on experience in AI/ML, with a strong focus on GenAI, LLMs, or AI agent development.

• Proven track record of deploying and scaling AI/ML solutions in production, especially in healthcare or regulated industries.

•Technical Skills:

• Expertise in GenAI and LLM frameworks, including OpenAI GPT, BERT, or similar transformer architectures.

• Proficiency in fine-tuning LLMs for specific domains and integrating them with enterprise-grade applications.

• Experience with cloud platforms (e.g., OCI, AWS, Azure, or GCP) and distributed computing.

• Strong programming skills in Python and familiarity with libraries such as Hugging Face Transformers, TensorFlow, or PyTorch.

• Knowledge of multi-modal data integration (text, imaging, structured data) and analytics.

• Domain Knowledge:

• Deep understanding of healthcare systems, EHR standards (e.g., FHIR, HL7), and value-based care metrics.

• Familiarity with regulatory requirements (e.g., HIPAA, HITRUST) and compliance frameworks.

• Leadership & Communication Skills:

• Ability to engage with technical and non-technical stakeholders to drive AI adoption and ensure business alignment.

• Strong problem-solving skills and ability to deliver results in ambiguous, high-impact environments.

Minimum Qualifications:  PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning Techniques OR Masters or Bachelor's in one or more of these fields. Minimum 4 years work experience in the areas of machine learning, computer vision, natural language processing or data mining with a PhD OR 5+  years experience with a Master’s or Bachelor's. Preferred Qualifications: Scientific thinking and the ability to invent, with a track record of contributing to the advancement of the field. Demonstrated experience in successfully designing and shipping models using  machine learning, deep learning, and statistical modeling across different data domains and modalities. Experience in optimization and scaling of ML solutions for real world business use cases. Training machine learning models with large scale data using techniques such as data and model parallels. Experience in technical leadership of data science groups/projects. Track record of innovation in creating novel algorithms and advancing state of the art solutions. Demonstrated experience in engaging and influencing business leaders in solution path design.  Publications at top-tier peer-reviewed conferences or journals.  Hands on experience in applicable programming languages in a production service environment. Depending on the job there may be additional minimum requirements and/or preferred qualifications.

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