

John Snow Labs US-Based Healthcare Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a US-Based Healthcare Data Scientist, offering a contract of over 6 months at a pay rate of "unknown." Key skills include EHR to OMOP conversion, SQL proficiency, and healthcare data standards. Remote work is available.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 27, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Spark (Apache Spark) #DevOps #Data Extraction #NLP (Natural Language Processing) #"ETL (Extract #Transform #Load)" #Data Integration #Statistics #Data Science #FHIR (Fast Healthcare Interoperability Resources) #Data Management #Data Engineering #Data Analysis #Data Conversion #Data Integrity #Compliance #SQL (Structured Query Language) #Big Data
Role description
Company Description
John Snow Labs is an award-winning AI and NLP company, accelerating progress in data science by providing state-of-the-art software, data, and models. Founded in 2015, it helps healthcare and life science companies build, deploy, and operate AI products and services. John Snow Labs is the winner of the 2018 AI Solution Provider of the Year Award, the 2019 AI Platform of the Year Award, the 2019 International Data Science Foundation Technology award, and the 2020 AI Excellence Award.
John Snow Labs is the developer of Spark NLP - the world’s most widely used NLP library in the enterprise - and is the world’s leading provider of state-of-the-art clinical NLP software, powering some of the world’s largest healthcare & pharma companies. John Snow Labs is a global team of specialists, of which 33% hold a Ph.D. or M.D. and 75% hold at least a Master’s degree in disciplines covering data science, medicine, software engineering, pharmacy, DevOps and SecOps.
Job Description
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.
Qualifications
Key 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.
• 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.
• Experience with John Snow Labs’ technology stack, such as Spark NLP or the medical language models, is a plus.
Qualifications:
• A PhD in a relevant field is preferred but not required if exceptional experience is demonstrated.
• 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.
Preferred Skills:
• Experience with ETL tools and processes.
• Familiarity with regulatory and compliance standards in healthcare data management.
• Strong communication skills, both written and verbal.
What We Offer:
• 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. We are seeking individuals, not agencies or teams.
• The opportunity to grow your skills and knowledge, working with a team of big data and data science experts in a supportive, collaborative environment.
To apply, please include the words 'John Snow Labs' in your cover letter, detailing your experience with EHR to OMOP conversion and why you believe you are the best fit for this role. This is more than just a contract — it's a chance to make a real difference.
Additional Information
Our Commitment to You
At John Snow Labs, we believe that diversity is the catalyst of innovation. We’re committed to empowering talented people from every background and perspective to thrive.
We are an award-winning global collaborative team focused on helping our customers put artificial intelligence to good use faster. Our website includes The Story of John Snow, and our Social Impact page details how purpose and giving back is part of our DNA. More at JohnSnowLabs.com
• We are a fully virtual company, collaborating across 28 countries.
• This is a contract opportunity, not a full-time employment role.
• This role requires the availability of at least 30-40 hours per week.
Company Description
John Snow Labs is an award-winning AI and NLP company, accelerating progress in data science by providing state-of-the-art software, data, and models. Founded in 2015, it helps healthcare and life science companies build, deploy, and operate AI products and services. John Snow Labs is the winner of the 2018 AI Solution Provider of the Year Award, the 2019 AI Platform of the Year Award, the 2019 International Data Science Foundation Technology award, and the 2020 AI Excellence Award.
John Snow Labs is the developer of Spark NLP - the world’s most widely used NLP library in the enterprise - and is the world’s leading provider of state-of-the-art clinical NLP software, powering some of the world’s largest healthcare & pharma companies. John Snow Labs is a global team of specialists, of which 33% hold a Ph.D. or M.D. and 75% hold at least a Master’s degree in disciplines covering data science, medicine, software engineering, pharmacy, DevOps and SecOps.
Job Description
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.
Qualifications
Key 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.
• 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.
• Experience with John Snow Labs’ technology stack, such as Spark NLP or the medical language models, is a plus.
Qualifications:
• A PhD in a relevant field is preferred but not required if exceptional experience is demonstrated.
• 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.
Preferred Skills:
• Experience with ETL tools and processes.
• Familiarity with regulatory and compliance standards in healthcare data management.
• Strong communication skills, both written and verbal.
What We Offer:
• 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. We are seeking individuals, not agencies or teams.
• The opportunity to grow your skills and knowledge, working with a team of big data and data science experts in a supportive, collaborative environment.
To apply, please include the words 'John Snow Labs' in your cover letter, detailing your experience with EHR to OMOP conversion and why you believe you are the best fit for this role. This is more than just a contract — it's a chance to make a real difference.
Additional Information
Our Commitment to You
At John Snow Labs, we believe that diversity is the catalyst of innovation. We’re committed to empowering talented people from every background and perspective to thrive.
We are an award-winning global collaborative team focused on helping our customers put artificial intelligence to good use faster. Our website includes The Story of John Snow, and our Social Impact page details how purpose and giving back is part of our DNA. More at JohnSnowLabs.com
• We are a fully virtual company, collaborating across 28 countries.
• This is a contract opportunity, not a full-time employment role.
• This role requires the availability of at least 30-40 hours per week.