PhD Applied Scientist Intern - Oracle Health & Analytics

Location: United States

Overview: Oracle Health & Analytics seeks a PhD Applied Scientist Intern to advance AI-driven healthcare solutions. Interns will collaborate on cutting-edge machine learning models for health data analytics and predictive insights. Must be enrolled in a university prior to and post internship; target duration May-Aug 2026 or June-Sept 2026.

Responsibilities

• Develop and deploy machine learning models for healthcare data analysis.
• Analyze large-scale health datasets to extract actionable insights.
• Collaborate with cross-functional teams to design AI-driven analytics tools.
• Conduct experiments to optimize model performance and accuracy.
• Implement scalable algorithms for real-time health predictions.
• Contribute to research on advanced AI techniques in healthcare.
• Document findings and present results to stakeholders.
• Support integration of models into Oracle's health platforms.

Qualifications

• Currently pursuing PhD in Computer Science, AI, Data Science, or related field.
• Strong experience with Python, TensorFlow, PyTorch, or similar frameworks.
• Proven track record in machine learning and statistical modeling.
• Knowledge of healthcare data standards (e.g., FHIR, HL7).
• Excellent problem-solving and analytical skills.
• Ability to work independently and in team environments.

Benefits

• Competitive hourly compensation.
• Hands-on experience with real-world health AI projects.
• Mentorship from senior scientists and engineers.
• Flexible work options and collaborative environment.
• Networking opportunities within Oracle Health & Analytics.