Healthcare Data Integration Engineer – FHIR, OMOP

🕒 June 4

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John Snow Labs

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

🏥 Healthcare

💼 Consulting

🤖 Artificial Intelligence

Healthcare • Consulting • Artificial Intelligence

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.

📋 Description

• Lead technical onboarding activities for new clients. • Analyze source systems and data architectures. • Design and implement connectors to various data sources, including: EHR systems, FHIR servers, HL7 interfaces, Relational databases, Data warehouses, Cloud storage platforms (S3, Azure Blob, GCS), Flat-file and CSV-based exchanges, APIs and custom integrations • Collaborate with client IT and clinical informatics teams to understand source data structures and workflows. • Define integration strategies and technical specifications. • Map source data into healthcare interoperability standards and common data models. • Support transformation of clinical data into OMOP CDM. • Develop and maintain source-to-target mappings. • Identify and resolve data quality, terminology, and interoperability issues. • Build, test, and maintain ETL/ELT pipelines. • Collaborate with data engineers, data scientists, and machine learning engineers.

🎯 Requirements

• 2+ years of experience in healthcare data integration, interoperability, or clinical data engineering. • Experience working with healthcare data standards, including: FHIR, HL7 v2, Clinical terminology systems • Experience with SQL and relational databases. • Experience designing and implementing ETL pipelines. • Experience consuming and integrating REST APIs. • Understanding of healthcare data domains such as: Encounters, Conditions, Procedures, Medications, Measurements/Laboratory results, Clinical observations • Strong problem-solving and troubleshooting skills. • Excellent communication skills and ability to work directly with client technical teams.

🏖️ Benefits

• Fully virtual company • Collaborating across 28 countries