Principal Applied Scientist - Gen AI

Phoenix Staffing Services3 months ago
Phoenix, AZ, United States
Remote
Full-time
Junior Level (1-3 years)

Job Description

Position Overview

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 and drive operational excellence through data and technology.

Key Responsibilities

  • Technical Leadership: Design, develop, and deploy AI/ML solutions focused on GenAI and LLM applications for healthcare, including architecting AI agents that automate complex workflows and ensuring robust integration with healthcare datasets.
  • Generative AI & LLM Innovation: Develop and fine-tune LLMs for healthcare-specific use cases, apply generative AI to synthesize insights from multi-modal data, and explore reinforcement learning and human feedback approaches for enhanced model performance.
  • Solution Development: Design intelligent AI agents to automate tasks such as clinical document generation and chart reviews while overseeing scalable pipeline creation that maintains data privacy and security (e.g., HIPAA, HITRUST compliance).
  • Strategic Collaboration: Collaborate with cross-functional teams—including healthcare providers and engineers—to align AI initiatives with business objectives, serving as a liaison between technical teams and business stakeholders.
  • Performance Optimization: Lead efforts to optimize LLM performance for real-time applications in healthcare environments and implement monitoring frameworks to ensure quality benchmarks.
  • Thought Leadership: Stay ahead of emerging GenAI, LLM, and AI agent trends, publish findings, present at industry conferences, and mentor junior team members.

Required 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 in deploying and scaling production-grade solutions, especially within healthcare or regulated industries.
  • Technical Skills: Expertise in GenAI and LLM frameworks (e.g., OpenAI GPT, BERT), proficiency in fine-tuning domain-specific models, experience with cloud platforms (OCI, AWS, Azure, or GCP), strong Python programming, and familiarity with libraries like Hugging Face Transformers, TensorFlow, or PyTorch.
  • Domain Knowledge: Deep understanding of healthcare systems, EHR standards (e.g., FHIR, HL7) and regulatory requirements (e.g., HIPAA, HITRUST).
  • Leadership & Communication: Ability to engage both technical and non-technical stakeholders, with strong problem-solving skills in dynamic, high-impact environments.

Benefits & Perks

  • Compensation: Hiring range from $120,100 to $251,600 per annum with potential eligibility for bonus, equity, and compensation deferral.
  • Medical, dental, and vision insurance – including expert medical opinion.
  • Short-term and long-term disability coverage.
  • Life insurance, AD&D, and supplemental life insurance for Employee/Spouse/Child.
  • Health care and dependent care Flexible Spending Accounts.
  • Pre-tax commuter and parking benefits.
  • 401(k) Savings and Investment Plan with company match.
  • Paid time off featuring flexible vacation policies, 11 paid holidays, and 72 hours of sick leave (with accrual and rollover options).
  • Paid parental leave and adoption assistance.
  • Employee Stock Purchase Plan, financial planning, group legal services, and voluntary benefits including auto, homeowner, and pet insurance.

Required Skills

Regulatory Compliance (HIPAA, HITRUST)
Machine Learning
Cloud Platforms (OCI, AWS, Azure, GCP)
EHR & FHIR Standards
Large Language Models (LLMs)
Python
AI Agents
Generative AI
Healthcare Data Integration
Reinforcement Learning