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AI Curation Data ScientistxCures • New York, New York, United States
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AI Curation Data Scientist

xCures
  • US
    New York, New York, United States
  • US
    New York, New York, United States
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Über

The xCures platform helps improve clinical care via comprehensive, intelligent access to healthcare data on an AI-assisted platform. Delivered using a Software as a Service (SaaS) model, xCures enables healthcare organizations to quickly find and use clinical insights. Our platform enables true interoperability and provides enhanced capabilities for patient care and clinical operations.
About the role: Reporting to the VP of Data Science, the AI Curation Data Scientist will, using traditional computing and custom AI model training, work on mission-critical projects driven by xCure’s product development needs and will expand xCures’ complex, innovative health data processing, extraction, and analysis capabilities. We’re looking for an individual who values team-building, cooperation, and communications with colleagues to serve the needs of our customers. Projects will include significant data processing challenges, such as C-CDA XML parsing and de-identification of structured and unstructured EHR content. Equally important projects will address data curation and custom AI model training. You will author software and AI models and contribute to data set curation. You will coordinate data set quality assurance within an innovative, fast-moving team. Team responsibilities are key requirements for this position, which will deliver large and complex data products and data analysis tools.
This position is fully remote, but will coordinate very closely with a small team and thus requires excellent communication and coordination skills. Occasional travel is required.
This job is right for you if you like:
A high-energy start-up working with a brilliant and passionate team
Working on problems that make a real difference in people’s lives
Understanding and delivering on reliable and well-characterized products and deliverables within a highly innovative and fast-changing environment: clinical data extraction and aggregation, the relation between data processing and QA framework; LLM tuning and training, pedantic data curation, compute architecture, data exchange.
Rockstar teammates: you will be working with a strong team with decades of prior work experience in artificial intelligence, software systems, molecular biology, and clinical medicine
Innovation and problem solving to provide order-of-magnitude improvements in capabilities for data handling and analysis while maintaining traceable data and methods development
Responsibilities:
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
Required Skills and Qualifications:
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
Must reside in the United States.
Must have authorization to work in the United States.
Preferred Skills and Qualifications:
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 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
Notes: This is a big list. Don’t worry if you do not meet every qualification or wishlist item. If you are passionate, ambitious, adept, and mission-aligned, then we want to hear from you — even if you don’t check every box listed here. True talent shines through and transcends a list of bullet points. To apply, please send your cover letter and resume to ds-jobs@xcures.com
Salary range : 100K to 165K annually
401k
xCures acknowledges that equal opportunity for all persons is a fundamental human value. Each employee and applicant will be considered on the basis of individual ability and merit, without regard to race, color, religion, age, sex, sexual orientation, gender identity, gender expression, pregnancy, national origin, marital status, physical disability, mental disability, medical condition, genetic information, protected military or veteran status, or any other characteristics.
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  • New York, New York, United States

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  • English
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