
51 - 200 employees
Founded 2015
🤖 Artificial Intelligence
⚕️ Healthcare Insurance
🧬 Biotechnology
Artificial Intelligence • Healthcare Insurance • Biotechnology
John Snow Labs is a company specialized in providing AI and NLP solutions tailored for the healthcare sector. They offer a range of products including medical language models, NLP Python libraries, and solutions for clinical text summarization, information extraction, and de-identification. Their Generative AI models excel in processing clinical and biomedical text. The company facilitates the creation and tuning of custom language models and offers managed services for patient cohort creation and risk adjustment. They also focus on responsible AI practices, offering tools to ensure safe and effective language model use, along with medical knowledge graphs and clinical decision support systems. John Snow Labs is recognized for its innovation in healthcare AI and medical document processing, providing solutions that are trusted by pharma and healthcare companies.
🕒 March 20
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51 - 200 employees
Founded 2015
🤖 Artificial Intelligence
⚕️ Healthcare Insurance
🧬 Biotechnology
Artificial Intelligence • Healthcare Insurance • Biotechnology
John Snow Labs is a company specialized in providing AI and NLP solutions tailored for the healthcare sector. They offer a range of products including medical language models, NLP Python libraries, and solutions for clinical text summarization, information extraction, and de-identification. Their Generative AI models excel in processing clinical and biomedical text. The company facilitates the creation and tuning of custom language models and offers managed services for patient cohort creation and risk adjustment. They also focus on responsible AI practices, offering tools to ensure safe and effective language model use, along with medical knowledge graphs and clinical decision support systems. John Snow Labs is recognized for its innovation in healthcare AI and medical document processing, providing solutions that are trusted by pharma and healthcare companies.
• Serve as a subject matter expert (SME) on cancer registry data standards, abstraction workflows, and reporting requirements • Provide structured walkthroughs of the registry lifecycle — from casefinding, abstraction, coding, QA, to submission and feedback • Advise on the interpretation of data dictionaries, staging schemas, and coding logic used across U.S. registries • Help our team understand the daily workflow of registrars, including interaction with EHRs, pathology feeds, and state/federal reporting systems • Review data models, variable mappings, and potential automation use cases for consistency with registry standards • Participate in periodic review meetings (remote) to guide technical and product teams on oncology data conventions • Provide occasional feedback on UI/UX mockups, training materials, or registry-related data capture prototypes
• Certified Tumor Registrar (CTR) credential in good standing (required) • 5–10+ years of hands-on experience in cancer registry operations, ideally including both facility-based and central registry settings • Deep familiarity with cancer case abstraction, staging, and coding conventions • Data validation and QA workflows • NAACCR-style data items • Common registry abstraction and validation tools used in the field • Reporting workflows to state or national programs (e.g., population-based or accreditation-related systems) • Understanding of AJCC, TNM, ICD-O, SSDI, and associated coding frameworks
• Flexible scheduling • Professional development opportunities • Remote work options
Apply Now🕒 March 20
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