At Oracle Health, we are transforming healthcare with data-driven intelligence. As a
Senior Data Scientist
, you will design, develop, and deploy advanced Generative AI, machine learning models, and AI agents to turn complex healthcare data into actionable insights that improve patient outcomes and drive product innovation.
Key Responsibilities
Design and implement advanced
Generative AI and machine learning solutions
for healthcare data analytics.
Build and optimize
AI agents
to automate clinical and operational workflows.
Consolidate, process, and analyze large, diverse, and unstructured healthcare datasets.
Translate data into insights that enhance
patient care, decision-making, and product features
.
Collaborate with cross-functional teams including product managers, clinicians, and engineers to deliver scalable AI solutions.
Take ownership and accountability of end-to-end model development, deployment, and performance in production.
Drive innovation through
research, experimentation, and patentable AI methodologies
.
Ensure compliance with healthcare data privacy and regulatory standards.
Required Qualifications
Master's or PhD in Computer Science, Data Science, AI/ML, or related field.
5+ years of experience in
machine learning, deep learning, or Generative AI
.
Proven track record of building and deploying
AI/ML models in production
.
Experience with
large-scale healthcare datasets
(EHR, claims, clinical text).
Proficiency in
Python, TensorFlow, PyTorch, or similar frameworks
.
Strong knowledge of
NLP, LLMs, and AI agent frameworks
.
Excellent problem-solving skills and ability to work in cross-functional teams.
Preferred Qualifications
Experience in healthcare analytics, clinical decision support, or revenue cycle management.
Contributions to
AI research, patents, or peer-reviewed publications
.
Familiarity with
cloud platforms (OCI, AWS, Azure, GCP)
for ML deployment.
Knowledge of healthcare interoperability standards (
FHIR, HL7, ICD-10, SNOMED CT
).
What We Offer
Opportunity to shape the future of
AI in healthcare
.
A culture of innovation, collaboration, and continuous learning.
Competitive compensation, benefits, and career growth opportunities.
Platform to work on
cutting-edge AI/ML projects
impacting millions of patients worldwide.
Interacts with product, service, and clinical teams to identify opportunities and challenges for AI-driven solutions; designs and develops Generative AI models, machine learning algorithms, and AI agents to analyze, cleanse, and integrate large-scale healthcare data; derives and communicates actionable insights to stakeholders; and takes ownership and accountability for end-to-end model development, deployment, and performance to enhance patient outcomes, product innovation, and client success.
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