Principal Applied Scientist - Gen AI

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Oracle Health Data Intelligence (HDI) is leading the charge in transforming healthcare with innovative data and AI solutions. Were 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

As a world leader in cloud solutions, Oracle uses tomorrows technology to tackle todays challenges. Weve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. 

We know that true innovation starts when everyone is empowered to contribute. Thats why were committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

Were committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing 

***************@oracle.com or by calling +1 888 404 2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. 

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 Oracles 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: Masters 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.

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $120,100 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracles differing products, industries and lines of business.Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:1. Medical, dental, and vision insurance, including expert medical opinion2. Short term disability and long term disability3. Life insurance and AD&D4. Supplemental life insurance (Employee/Spouse/Child)5. Health care and dependent care Flexible Spending Accounts6. Pre-tax commuter and parking benefits7. 401(k) Savings and Investment Plan with company match8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.9. 11 paid holidays10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.11. Paid parental leave12. Adoption assistance13. Employee Stock Purchase Plan14. Financial planning and group legal15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC4


Information :

  • Company : Oracle Hong Kong
  • Position : Principal Applied Scientist - Gen AI
  • Location : United States
  • Country : US

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Post Date : 2025-06-27 | Expired Date : 2025-07-27

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