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Senior AI Curation Data Scientist jobs in United States
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xCures Inc. · 2 days ago

Senior AI Curation Data Scientist

xCures Inc. is redefining how healthcare organizations in the US access, trust, and act on patient data. They are seeking a Senior AI Curation Data Scientist to work on mission-critical projects, expanding their health data processing, extraction, and analysis capabilities while ensuring data quality and compliance with policies.
Artificial Intelligence (AI)HealthcareBiotechnologyHealth CareMachine LearningMedicalOncology
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Responsibilities

Developing and testing data extraction and integration software for structured EHR content (XML, FHIR) and unstructured text content (attached documents)
Planning, explaining, and implementing projects to curate data sets used in model training
Maintaining understanding of current and new generative AI and transformer technologies
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
Flexibly taking on technical leadership or participation roles per project
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

Qualification

Generative AITransformer modelsLLM trainingData set curation for LLMsPython programmingXML parsingJSON parsingC-CDA health dataTensorFlowPyTorchScikit-learnGitUnit testingIntegration testingData quality assessmentJqXqUnix command-line toolsSedBash programmingRegular expressionsAWSPHI/PII handlingHIPAA complianceSoftware development in multiple languagesLLM-assisted coding toolsTeam cooperation

Required

Ph.D., or equivalent experience in Computer Science, Software Engineering, Statistics, Biology, or related field
Minimum of 10 years of hands-on experience in data science, machine learning, AI, data analysis, software development, and/or predictive analytics
Expertise in generative AI and transformer models, especially training of LLMs
Significant prior 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
Experience as a senior technology development leader, contributing while coordinating the work of colleagues
Flexible, innovative, can-do approach to delivering software and data products balanced with team cooperation
A passion for successful delivery of team work products

Preferred

Extensive experience with data handling efficiency tools, such as jq, xq, Unix command-line tools such as sed, bash programming
Deep understanding of regex
Extensive AWS experience and understanding of tradeoffs for different types of data storage for AI training
Significant prior experience with PHI and PII, HIPAA, and de-identification is a major plus
Software development experience in multiple coding languages
Confidence extending the capabilities of open source tools
Experience with multiple approaches to LLM-assisted coding, such as within Visual Studio, copilot, Claude Code; and familiarity with frontier and open model capabilities
Experience with remote teams and solving technical project communications challenges

Benefits

Medical, Dental, Vision insurance
401k
Equity options

Company

xCures Inc.

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xCures® is the Clinical Clarity Engine for healthcare, assembling and structuring patient medical records into decision-ready data.

Funding

Current Stage
Growth Stage
Total Funding
$58.97M
Key Investors
Innovius CapitalBoehringer Ingelheim Venture FundVanedge Capital
2026-06-24Series B· $46M
2023-12-01Convertible Note
2022-01-01Series Unknown

Leadership Team

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Glenn Kramer
Chief Technology Officer
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Company data provided by crunchbase