PhD Applied Scientist - Health & Analytics

Job Description Intended for students graduating with their Doctorate degree by, or have graduated within, 12 months of cohort start date in June/July 2026. Target Start Date: early-June or mid-July 2026 The Program: Join us in shaping the future of healthcare! We're looking for innovative, early-career talent eager to collaborate and create impactful solutions. This program is designed to enhance your learning experience, expand your network, and accelerate your career trajectory. The Team: Oracle Health & Analytics is at the forefront of transforming the healthcare landscape by leveraging our expertise in IaaS and SaaS. We aim to provide patient-centric care and deploy exceptional clinical tools globally. Collaborate with a dynamic team to build next-gen health platforms that make a real difference. This entrepreneurial venture encourages creativity and rapid innovation. Oracle Analytics Cloud is a premier platform offering extensive analytic and reporting capabilities, designed for high performance, security, and scalability. It empowers businesses to make informed decisions through comprehensive data insights. The Company: As a global leader in business software, Oracle operates in over 175 countries. We use cutting-edge technologies to address real-world challenges and drive significant change across various sectors, including healthcare. For more information, visit oracle.com. Responsibilities What You'll Do: As an Applied Scientist in our Oracle Health and Analytics team, you will spearhead the development of scalable AI model training and serving systems alongside our talented scientists and engineers. You will optimize model performance, embracing cutting-edge technologies that are reshaping healthcare. Your contribution will be pivotal in influencing Oracle's future focus on AI and Machine Learning. What You'll Bring: (Objective Minimum Qualifications) PhD in Computer Science, Mathematics, Statistics, Physics, Linguistics, or a related field, with a focus on Machine Learning and Deep Learning by July 2026. Proven experience in designing and implementing production-ready scalable AI models. In-depth technical knowledge of Machine Learning, Gen AI, Data Science, and Deep Learning architectures. Hands-on experience with emerging LLM frameworks and tools. Commitment to staying abreast of advancements in the field and leveraging them for practical business solutions. A strong publication record in top-tier journals or conferences. Residency in the U.S. or enrollment at a U.S. university. Able to obtain work authorization in the U.S. in 2026. Preferred Qualifications: Familiarity with advancements in computer vision and multimodal modeling is a plus. Minimum 3.0 GPA. Disclaimer: Certain roles may require compliance with health and safety mandates. Range and benefits information: The hiring range for this role is from $97,500 to $199,500 per annum, with eligibility for bonuses and equity. Oracle offers a comprehensive benefits package that includes: Medical, dental, and vision insurance. Short and long-term disability coverage. Life insurance and AD&D. Dependent care Flexible Spending Accounts. 401(k) Savings and Investment Plan with company match. Flexible time off policies. 11 paid holidays annually. Parental and adoption assistance. Employee Stock Purchase Plan. Additional voluntary benefits. Applications will be accepted for a minimum of three calendar days from the posting date. About Us Oracle empowers organizations with data and technology that drive innovative solutions impacting millions. We are dedicated to inclusive practices that foster employee development and community engagement. We are committed to providing accessibility during the employment process for individuals with disabilities. Oracle is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, sexual orientation, gender identity, disability, veteran status, or any other characteristic protected by law.

Created: 2026-03-04