Senior Applied Scientist - Gen AI
Listed on 2026-01-07
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IT/Tech
AI Engineer, Data Scientist
- Does this position require a security clearance? No
- Years 3 to 5+ years
- Additional Info Visa / work permit sponsorship is not available for this position
- Applicants are required to read, write, and speak the following languages English
Oracle Healthcare Data Intelligence (HDI) is at the forefront of leveraging data and AI to transform the healthcare and life sciences industries. Our team is dedicated to solving complex challenges in healthcare by developing innovative solutions using Generative AI, natural language processing (NLP), and large language models (LLMs). This role is perfect for a hands‑on applied scientist who’s passionate about building and optimizing models in the healthcare space.
You’ll help design and implement new AI tools that can enhance care delivery, support providers, and make health systems smarter.
Your Role
As a Senior Applied Scientist
, you’ll work closely with other scientists, engineers, and product teams to build and evaluate AI models for real healthcare and biological problems. You will collaborate with a multidisciplinary team to design, build, and deploy scalable models and systems that enhance clinical decision‑making, optimize operational workflows, and deliver meaningful insights from complex healthcare data.
What You’ll Do
Modeling and Development
- Fine‑tune and evaluate large language models (LLMs), small language models, and retrieval‑augmented generation (RAG) pipelines.
- Contribute to the design and development of AI solutions for use cases like summarizing clinical documents, surfacing patient insights, and supporting care decisions.
- Use tools like Lang Chain or other modular AI frameworks to experiment with agentic behaviors in workflows.
Evaluation and Optimization
- Help build model evaluation frameworks focused on healthcare‑specific performance, semantic accuracy, and safety.
- Analyze model performance and iterate based on feedback and evaluation results.
Collaboration and Integration
- Work with product, engineering, and design teams to bring your models into Oracle’s healthcare and life sciences platforms.
- Support integration of models into secure and compliant healthcare environments.
Innovation and Learning
- Stay up to date with recent developments in generative AI and NLP, especially in healthcare and life sciences.
- Propose and prototype new ideas that could lead to better healthcare tools and experiences.
What You’ll Bring
Education
- PhD in Computer Science, NLP, Machine Learning, or a related field; OR
- Master’s degree with 4+ years of relevant experience in applied AI/ML.
Experience
- Experience training or fine‑tuning LLMs or small language models.
- Experience in developing and evaluating LLM Agents for real‑world problems.
- Familiarity with retrieval‑augmented generation (RAG), Lang Chain, or similar tools.
- Hands‑on experience applying AI/ML in healthcare and/or bioinformatics is a plus.
Skills
- Strong understanding of machine learning, NLP, and deep learning techniques.
- Comfortable working with Python, Tensor Flow/PyTorch, and open‑source LLM tools.
- Familiarity with bioinformatics resources and tools.
- Good communication skills and ability to collaborate across technical teams.
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: $97,500 to $199,500 per annum. May be eligible for bonus and equity.
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 Oracle’s 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:
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