Overview

Oracle Health & Analytics seeks PhD Applied Scientists graduating with their Doctorate by June/July 2026 or within the past 12 months. Join our innovative team to advance healthcare analytics through cutting-edge AI and machine learning. Target start date: early June or mid-July 2026 in the United States.

Responsibilities

• Develop and deploy machine learning models for healthcare data analytics.
• Conduct research on large-scale health datasets to derive actionable insights.
• Collaborate with cross-functional teams to integrate AI solutions into Oracle products.
• Design experiments and evaluate model performance in real-world clinical scenarios.
• Publish findings and contribute to patents in health AI innovations.
• Optimize algorithms for scalability on cloud infrastructure.
• Analyze multimodal data including EHRs, imaging, and genomics.
• Mentor junior scientists and present at internal/external conferences.

Qualifications

• PhD in Computer Science, Machine Learning, Statistics, or related field (graduating by June/July 2026 or within 12 months prior).
• Strong expertise in deep learning frameworks (e.g., TensorFlow, PyTorch).
• Proven research experience with publications in top-tier conferences/journals.
• Proficiency in Python, SQL, and big data tools (e.g., Spark, Hadoop).
• Experience with healthcare data or domains (EHR, imaging, NLP).
• Excellent problem-solving and communication skills.

Benefits

• Competitive salary and equity package.
• Comprehensive health, dental, and vision insurance.
• 401(k) matching and employee stock purchase plan.
• Flexible remote/hybrid work options.
• Professional development stipend and conference travel support.