Oracle Health Data Intelligence (HDI) is at the forefront of transforming healthcare through innovative data and AI solutions. We’re seeking a highly skilled individual contributor to join our team in the USA. This role focuses on leveraging clinical data, machine learning (ML), and AI technologies to drive healthcare innovation. You’ll contribute to AI-driven projects by applying informatics techniques, statistical modeling, and annotation guidelines to improve healthcare delivery, patient outcomes, and operational efficiency. At HDI, we are committed to using cutting-edge technologies such as natural language processing (NLP) and predictive analytics to revolutionize patient care and optimize healthcare systems.
Required Experience
- Clinical experience in roles such as a registered nurse, pharmacist, medical scribe, clinical laboratory technician, respiratory therapist, or other healthcare-related role. Relevant healthcare experience may be considered in lieu of formal clinical certification.
- 1-3 years of experience in clinical informatics, healthcare data analysis, clinical documentation review, medical coding, quality improvement, or related healthcare technology roles.
- Familiarity with electronic health record (EHR) systems and clinical workflows.
- Experience reviewing clinical data and applying clinical knowledge to support data quality, care management, quality measurement, or healthcare operations.
- Exposure to healthcare AI, machine learning, natural language processing (NLP), data annotation, or clinical data labeling projects is preferred.
- Familiarity with healthcare terminologies such as SNOMED CT, ICD, CPT, LOINC, or RxNorm.
- Experience working with healthcare data sources such as EHR, laboratory, billing, claims, or eligibility data.
- Understanding of healthcare data privacy, security, and regulatory requirements.
- Life sciences, clinical trials, or regulatory experience is a plus.
Preferred Experience
- Exposure to AI/ML model evaluation, annotation quality review, or healthcare data validation.
- Basic understanding of healthcare interoperability standards such as FHIR.
- Experience supporting cross-functional projects involving clinicians, data scientists, engineers, and business stakeholders**.**
Responsibilities
- Review and validate medical annotations to ensure clinical accuracy, consistency, and compliance with established annotation guidelines.
- Assist in the creation, maintenance, and refinement of clinical annotation guidelines and documentation.
- Perform quality assurance reviews of annotated datasets and provide feedback to annotation teams.
- Identify annotation discrepancies, edge cases, and data quality issues and escalate findings appropriately.
- Support the development and maintenance of clinical value sets using industry-standard terminologies such as SNOMED CT, LOINC, RxNorm, ICD, CPT, and other healthcare vocabularies.
- Collaborate with clinical experts, annotators, data scientists, and engineers to improve annotation quality and data consistency.
- Participate in AI/ML model evaluation activities by reviewing model outputs and identifying opportunities for improvement.
- Conduct basic error analysis and contribute clinical insights to improve annotation processes and model performance.
- Assist with data preparation, validation, and quality checks to support AI/ML initiatives.
- Document findings, recommendations, and quality metrics related to annotation and model evaluation activities.
- Support ongoing process improvement efforts related to clinical data quality, annotation workflows, and AI-enabled healthcare solutions.
- Stay current with healthcare standards, terminology updates, and industry best practices.
Skills
Required Skills
- Strong clinical knowledge and ability to interpret healthcare documentation and clinical workflows.
- Attention to detail and commitment to data quality and accuracy.
- Knowledge of healthcare terminologies including SNOMED CT, ICD, CPT, LOINC, or RxNorm.
- Familiarity with healthcare data sources such as EHR, billing, laboratory, claims, or eligibility data.
- Strong analytical and problem-solving skills.
- Ability to identify inconsistencies and quality issues within annotated clinical data.
- Effective written and verbal communication skills.
- Ability to collaborate effectively with cross-functional teams.
Preferred Skills
- Basic understanding of AI/ML concepts, natural language processing (NLP), and healthcare data annotation workflows.
- Familiarity with model evaluation metrics and quality measurement concepts.
- Experience using SQL, Excel, or other data analysis tools.
- Exposure to healthcare interoperability standards such as FHIR.
- Knowledge of care management programs, quality measures, or population health initiatives.
Disclaimer:
Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.
Range and benefit information provided in this posting are specific to the stated locations only
US: Hiring Range in USD from: $66,200 to $132,400 per annum. May be eligible for bonus and equity.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
- 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
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC2