About this role
Oracle Health Data Intelligence (HDI) is building AI-powered solutions that help healthcare organizations improve population health. We are seeking a Principal Applied Scientist to develop advanced AI capabilities, with an emphasis on large language models, agentic systems, model post-training, and evaluation.
This is a hands-on individual contributor role for an experienced scientist who can translate complex problems into reliable, production-ready systems. You will combine scientific rigor with strong software engineering to develop models, build agents, and implement training and evaluation infrastructure.
Minimum Job Qualifications
Education and/or Experience:
11 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field
OR
Bachelor's Degree in Mathematics or Statistics, Computer Science, Data Science, Physics, or related field AND 7 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field
OR
Master's Degree in Mathematics or Statistics, Computer Science, Data Science, Physics, or related field AND 5 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field
OR
Doctorate in Mathematics or Statistics, Computer Science, Data Science, Physics, or related field AND 3 year of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field.
Job Skills:
Same skills as prior level plus;
Predictive Analytics Demonstrated expertise in building and applying predictive analytics to identify trends and inform strategic decisions.
Natural Language Processing Demonstrated ability to utilize NLP techniques and frameworks for advanced language data processing.
Statistical Analysis Demonstrated ability to conduct statistical analyses and interpret business or research data.
Machine Learning Frameworks Demonstrated ability to use machine learning frameworks to develop and optimize models for real-world business scenarios.
Generative Artificial Intelligence (GenAI) Model Building Demonstrated ability in or knowledge of GenAI model building, including training, fine-tuning, and monitoring generative AI solutions.
Data Analysis Demonstrated ability to analyze and interpret data to produce actionable business insights.
Research Demonstrated ability in or knowledge of research, including gathering information, formulating questions, and interpreting results to address objectives.
Research Planning and Literature Review Demonstrated ability in or knowledge of research planning and literature review, including comprehending and critiquing previous research to inform future work.
Programming Language:
3 years of experience in applicable programming language.
Preferred Job Qualifications
Education and/or Experience:
12 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field
OR
Bachelor's Degree in Mathematics or Statistics, Computer Science, Data Science, Physics, or related field AND 8 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field
OR
Master's Degree in Mathematics or Statistics, Computer Science, Data Science, Physics, or related field AND 6 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field
OR
Doctorate in Mathematics or Statistics, Computer Science, Data Science, Physics, or related field AND 4 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field.
Academic Writing and Publication:
3 years of experience creating publications (e.g., white papers, peer-reviewed conference or journal articles).