AI Curation Data Scientist

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xCures Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

🏥 Healthcare

🤖 Artificial Intelligence

☁️ SaaS

Healthcare • Artificial Intelligence • SaaS

xCures is a healthcare AI company that provides a Clinical Clarity Engine to retrieve, assemble, and structure fragmented medical records into decision-ready, source-linked clinical data. Its products—Evidence Grade Data, Automated Patient History, and Decision-Ready Checklists—extract and validate clinical information at scale, delivering verifiable outputs via summaries, dashboards, APIs, and export feeds for healthcare teams and partners. xCures is B2B-focused, serving providers, diagnostics groups, value-based care organizations, and channel partners; it emphasizes traceability and validation (peer-reviewed research, high extraction accuracy, and HITRUST certification) and processes medical records at large scale to accelerate prior authorization, chart review, quality reporting, and other clinical and operational workflows.

📋 Description

• Developing and testing data extraction and integration software for structured EHR content (XML, FHIR) and unstructured text content (attached documents) • Organizing and contributing to data set curation for model training • Tuning and training LLMs • Maintaining a strong understanding of PHI/PII and de-identification policies and strategies at xCures and implementing software solutions compliant with policies and strategies • Developing and implementing tests of data extraction and aggregation performance to improve efficiency, timeliness, and cost-effectiveness • Implementing and maintaining code repositories • Working closely with manager to explore methods, test hypotheses, and collaboratively implement innovative solutions for data science • Coordinating as required for a fully remote role • Working with Engineering and other groups to improve overall company efficiency and effectiveness

🎯 Requirements

• Masters degree or equivalent experience in Computer Science, Software Engineering, Statistics, Biology, or related field • Minimum of 5 years of hands-on experience in data science, machine learning, AI, data analysis, software development, and/or predictive analytics • Experience applying generative AI and transformer models, especially training of LLMs • Significant experience with curating data sets to train LLMs • Significant hands-on coding experience with LLMs, embeddings models, sentence_transformers, and authoring python code to build data extraction and/or classification tools • Significant prior work experience with parsing XML, JSON, and/or other complex data formats, preferably C-CDA health data • Experience with TensorFlow, PyTorch, and/or scikit-learn • Software development skills including git • Proven efficiency using, and cautious approach to using, LLM-assisted coding • Experience writing unit and integration tests for scientific/clinical data software as well as with developing scientifically motivated data quality assessments • Flexible, innovative, can-do approach to delivering software and data products balanced with team cooperation • A passion for successful delivery of team work products

🏖️ Benefits

• Medical, Dental, Vision insurance • 401k • Equity options