Note: The job is a remote job and is open to candidates in USA. Oracle Health Data Intelligence builds AI-powered products that help healthcare organizations make better, faster, and more informed decisions. The Principal Applied Scientist will lead the development of scalable machine learning and AI solutions, drive technical direction, build production-ready systems, and mentor applied scientists and engineers.
Responsibilities
- Lead the end-to-end development of machine learning and AI solutions: problem formulation, data analysis, feature development, modeling, offline evaluation, experimentation, deployment, and monitoring
- Design and build high-quality, maintainable production code in Python and related technologies. Write scalable, testable software rather than research-only prototypes
- Apply appropriate techniques across machine learning, deep learning, NLP, information retrieval, ranking, forecasting, anomaly detection, optimization, generative AI, and LLM-based systems
- Develop evaluation frameworks that measure model quality, reliability, safety, fairness, latency, and business or clinical impact
- Drive rigorous experimentation, including experiment design, statistical analysis, error analysis, ablation studies, and root-cause investigation
- Partner with software engineers to productionize models, define service interfaces, improve inference performance, and establish monitoring and retraining workflows
- Work closely with product, data engineering, clinical domain, security, and compliance partners to translate real-world needs into durable AI capabilities
- Set technical direction for complex initiatives, make sound tradeoffs under ambiguity, and influence roadmap decisions through data and scientific judgment
- Mentor applied scientists and engineers through design reviews, code reviews, technical guidance, and modeling best practices
- Stay current with relevant research and evaluate emerging methods pragmatically, adopting innovations when they create measurable product value
Skills
- Visa / work permit sponsorship is not available for this position
- Applicants are required to read, write, and speak the following languages: English
- PhD in Computer Science, Machine Learning, Statistics, Operations Research, a related quantitative field, or equivalent practical experience; OR a Master's degree with 6+ years of relevant industry experience
- 8+ years of experience applying machine learning, data science, or AI techniques to real-world product or business problems
- Strong programming ability in Python, including writing clean, efficient, production-quality code with appropriate testing and documentation
- Experience building and shipping machine learning systems, including data pipelines, training workflows, inference services, evaluation, and model monitoring
- Deep understanding of core machine learning concepts, such as supervised and unsupervised learning, optimization, representation learning, model selection, experimentation, and statistical inference
- Experience with one or more ML frameworks such as PyTorch, TensorFlow, JAX, scikit-learn, Spark, or equivalent tools
- Demonstrated ability to independently lead ambiguous technical projects and influence cross-functional stakeholders
- Strong written and verbal communication skills, including the ability to explain technical decisions to technical and non-technical audiences
- Experience with generative AI, large language models, retrieval systems, RAG, agentic workflows, or model fine-tuning and evaluation
- Experience with NLP, search, recommendation, ranking, time-series modeling, causal inference, or optimization
- Experience designing AI systems for high-reliability, privacy-sensitive, regulated, or customer-facing environments
- Experience with cloud-scale distributed systems and ML platforms
- Experience mentoring senior technical contributors and raising engineering and scientific standards across a team
- Healthcare, life sciences, enterprise SaaS, or similarly complex-domain experience
Benefits
- May be eligible for bonus, equity, and compensation deferral.
- Medical, dental, and vision insurance, including expert medical opinion
- Short term disability and long term disability
- Life insurance and AD&D
- Supplemental life insurance (Employee/Spouse/Child)
- Health care and dependent care Flexible Spending Accounts
- Pre-tax commuter and parking benefits
- 401(k) Savings and Investment Plan with company match
- Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
- 11 paid holidays
- Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
- Paid parental leave
- Adoption assistance
- Employee Stock Purchase Plan
- Financial planning and group legal
- Voluntary benefits including auto, homeowner and pet insurance
- Volunteer programs
Company Overview