John Snow Labs US-Based Healthcare Data Scientist
About The Position
John Snow Labs is seeking a highly skilled and motivated Data Analyst to contribute to transformative initiatives within the healthcare industry. As a leading healthcare organization, we are committed to leveraging data to improve patient outcomes and streamline healthcare operations. We are seeking a skilled Data Analyst with expertise in converting Electronic Health Records (EHR) to the OMOP Common Data Model (CDM), particularly using Epic EHR systems. As a Data Analyst, you will be responsible for the transformation of healthcare data from Epic EHR into the OMOP CDM format. This role requires keen attention to detail and a strong understanding of healthcare data standards to ensure data integrity and interoperability.
Requirements
- Hands-on experience with OMOP, FHIR, clinical terminologies, and understanding of the patient journey.
- A strong background in healthcare-related fields such as medicine, pharma, bioinformatics, or biostatistics is highly beneficial.
- Proven experience in EHR data management, specifically with Epic EHR systems.
- Strong understanding of the OMOP Common Data Model and healthcare data standards.
- Proficiency in SQL and experience with data transformation tools.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and ability to work independently or as part of a team.
Nice To Haves
- A PhD in a relevant field is preferred but not required if exceptional experience is demonstrated.
- Experience with John Snow Labs’ technology stack, such as Spark NLP or the medical language models, is a plus.
- Experience with ETL tools and processes.
- Familiarity with regulatory and compliance standards in healthcare data management.
- Strong communication skills, both written and verbal.
Responsibilities
- Perform data extraction, transformation, and loading (ETL) of healthcare records from Epic EHR to OMOP CDM.
- Collaborate with clinical informaticists and data engineers to ensure accurate mapping and conversion of data.
- Validate and test data conversions to maintain high levels of accuracy and consistency.
- Troubleshoot and resolve data integration issues as they arise.
- Document processes and create comprehensive reports on conversion progress and outcomes.
Benefits
- A chance to work on cutting-edge problems in healthcare and life sciences, contributing to meaningful projects that impact patient outcomes.
- Long-term freelancing contracts with a commitment of at least 30 hours per week.
- The opportunity to grow your skills and knowledge, working with a team of big data and data science experts in a supportive, collaborative environment.
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What This Job Offers
Career Level
Mid Level
Education Level
Ph.D. or professional degree
