Clinical Science Informaticist

Oracle

Actively hiring Posted this week Verified listing

Austin, TX Posted 2 days ago $66,200–$132,400 / year

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99+ other roles within 25 mi Near Austin, TX

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Salary context

Below market

How this pay compares to similar roles

Similar $154k

This role $99k

$49k most similar roles pay here $226k

This role pays less than 99% of similar roles. Most pay $126,800–$181,941 — the shaded band above. At the midpoint, this role pays about $99k versus about $154k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 394 open roles on FindRole.

Listed pay typically runs $97,500–$223,400 across 299 roles with salary data.

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At a glance

TL;DR

Oracle Health Data Intelligence is seeking a Clinical Science Informaticist with 3 to 5+ years of experience to join their innovative team. This individual contributor role involves leveraging clinical data and AI technologies to enhance healthcare delivery and patient outcomes through projects that include machine learning, natural language processing, and predictive analytics. The ideal candidate will create evaluation frameworks for AI models, define data requirements, and ensure data readiness for integration into AI/ML applications. They will work with industry-standard terminologies like SNOMED CT, ICD, and CPT to develop clear annotation guidelines and collaborate closely with cross-functional teams including data scientists and engineers. Proficiency in Python, R, SQL, TensorFlow, PyTorch, and scikit-learn is essential, along with a strong background in clinical informatics and healthcare data standards such as FHIR Resources and QDM Categories.

Skills

Python R SQL TensorFlow PyTorch scikit-learn NLP FHIR QDM SNOMED_CT ICD CPT Machine_Learning Statistical_Analysis Data_Preprocessing Feature_Engineering Quality_Control Error_Analysis AI_Modeling Clinical_Data_Integration

What you'll do

Create and curate clinical value sets using industry-standard terminologies for AI/ML applications.
Develop annotation guidelines and ensure data quality for AI-driven projects.
Define data requirements and integrate within AI/ML systems to enhance model readiness.
Implement quality control processes to validate annotated data integrity and reliability.
Lead annotation review cycles, provide feedback, and conduct error analysis of AI models.
Drive internal platform changes to ensure data compatibility with AI/ML models.
Oversee data collection, cleaning, and preprocessing for AI model training datasets.

What we're looking for

3+ years of experience in clinical informatics and EHR systems.
Strong background in clinical data analysis for evidence-based decision making.
Hands-on experience with machine learning, natural language processing, and AI in healthcare.
Expertise in data preprocessing, feature engineering, and model development for AI/ML applications.
Proficiency in working with clinical terminologies like SNOMED CT, ICD, and CPT.
Experience implementing quality control processes for AI/ML data integrity and reliability.
Knowledge of healthcare data standards such as FHIR Resources and QDM Categories.

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