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Healthcare Data Scientist Entry Level Jobs (NOW HIRING)

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

$100K - $150K/yr

... messy healthcare commercial data, intellectual curiosity, and the communication discipline to translate technical findings into commercial language • Expert-level modern data science skills in ...

Cyber Resource

Healthcare Data Analyst

Richmond, VA

... Health Record system, and clinical data needs. Candidate must be able to work on site. Local ... care setting · Demonstrated ability to communicate clinical and data findings clearly to non ...

1 point system

Healthcare Data Engineer

New York, NY · Remote

$117K - $140K/yr

Master's or Bachelor's degree in Engineering (IT, Electronics, Communication, Computer Science, or ... Experience with healthcare data and health forms. Analytics: Experience in advanced analytics.

Noblesoft Solutions

Data Scientist

Jacksonville, FL

... including Healthcare, Retail, Finance and Hospitality, adding tremendous value to those ... This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

... including Healthcare, Retail, Finance and Hospitality, adding tremendous value to those ... This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ...

ADVI Health

Data Scientist-HEOR

Washington, DC · On-site

$90K - $140K/yr

Since 2013, clients have sought ADVI Health's expert advice, informed by data and guided by a clear vision of the complex intersection of life sciences/healthcare innovation, economics, policy, and ...

ADVI Health LLC

Data Scientist-HEOR

Washington, DC · On-site

$90K - $140K/yr

Since 2013, clients have sought ADVI Health's expert advice, informed by data and guided by a clear vision of the complex intersection of life sciences/healthcare innovation, economics, policy, and ...

ADVI Health LLC

Data Scientist-HEOR

Washington, DC · On-site +1

$90K - $140K/yr

Since 2013, clients have sought ADVI Health's expert advice, informed by data and guided by a clear vision of the complex intersection of life sciences/healthcare innovation, economics, policy, and ...

Epistemix

Data Scientist

Pittsburgh, PA · Remote

The Data Scientist supports data integration and modeling for a portfolio of customers, supporting ... Prior healthcare experience (broadly defined) very strongly preferred * Comfort working in a ...

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All JobsHealthcare Data Scientist JobsHealthcare Data Scientist Entry Level Jobs

Healthcare Data Scientist Entry Level information

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$46K

$165K

$243.5K

How much do healthcare data scientist entry level jobs pay per year?

As of Jul 19, 2026, the average yearly pay for healthcare data scientist entry level in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

How to get into data science in healthcare?

To become a healthcare data scientist, develop strong skills in statistics, programming (such as Python or R), and data analysis. Gaining experience with healthcare datasets, understanding medical terminology, and obtaining relevant certifications like Certified Health Data Analyst (CHDA) can improve job prospects.

Can I get a data scientist job with no experience?

Entry-level healthcare data scientist positions often require some knowledge of data analysis, programming languages like Python or R, and familiarity with healthcare data. While prior experience is not always mandatory, demonstrating relevant skills through coursework, certifications, or projects can improve chances of securing an entry-level role.

What is the difference between Healthcare Data Scientist Entry Level vs Healthcare Data Analyst?

AspectHealthcare Data Scientist Entry LevelHealthcare Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; familiarity with programming languages like Python or RBachelor's degree in health informatics, statistics, or related field; proficiency in data analysis tools
Work EnvironmentHealthcare organizations, research institutions, or tech companies focusing on healthcare data projectsHospitals, clinics, insurance companies, or healthcare consulting firms
Employer & Industry UsageUsed for developing predictive models, machine learning applications, and advanced analytics in healthcareUsed for reporting, data visualization, and basic analysis of healthcare data

The main difference between Healthcare Data Scientist Entry Level and Healthcare Data Analyst lies in the complexity of tasks and skill set. Data scientists focus on building models and advanced analytics, requiring programming and statistical expertise, while data analysts primarily handle data reporting and visualization. Both roles are essential in healthcare but serve different functions based on skill level and project scope.

Is 30 too late for data science?

For an entry-level healthcare data scientist role, starting a career at age 30 is not too late. Many professionals transition into data science later in life, and acquiring relevant skills such as programming, statistics, and domain knowledge can be done through online courses or certifications at any age.

How do I become a data scientist with no experience?

To become an entry-level healthcare data scientist with no experience, focus on building foundational skills in statistics, programming (such as Python or R), and data analysis. Gaining practical experience through online courses, certifications, and projects using real datasets can help demonstrate your abilities to employers.
More about Healthcare Data Scientist Entry Level jobs
What cities are hiring for Healthcare Data Scientist Entry Level jobs? Cities with the most Healthcare Data Scientist Entry Level job openings:
What are the most commonly searched types of Healthcare Data Scientist jobs? The most popular types of Healthcare Data Scientist jobs are:
What states have the most Healthcare Data Scientist Entry Level jobs? States with the most job openings for Healthcare Data Scientist Entry Level jobs include:
What job categories do people searching Healthcare Data Scientist Entry Level jobs look for? The top searched job categories for Healthcare Data Scientist Entry Level jobs are:
Healthcare Data Scientist Entry Level jobs near you
Infographic showing various Healthcare Data Scientist Entry Level job openings in the United States as of July 2026, with employment types broken down into 50% Part Time, and 50% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Healthcare Data Integration Engineer (FHIR / OMOP)

Healthcare Data Integration Engineer (FHIR / OMOP)

John Snow Labs

Remote

Contractor

Re-posted 16 days ago

Job 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
We are seeking a Healthcare Data Integration Engineer to lead clinical data integration efforts.
This role will be responsible for connecting client systems to our platform, designing and implementing data ingestion pipelines, and ensuring that healthcare data is transformed into standardized models suitable for analytics and AI applications.
The ideal candidate combines healthcare interoperability expertise with strong technical implementation skills. You should be comfortable working directly with client technical teams, understanding source systems, designing mappings, and building robust integration solutions.
Qualifications
Responsibilities
Client Onboarding & Integration
* 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.
Healthcare Data Standardization
* 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.
* Participate in vocabulary mapping activities involving:
* SNOMED CT
* ICD-10
* LOINC
* RxNorm
* CPT
* Other local and proprietary terminologies
Data Engineering
* Build, test, and maintain ETL/ELT pipelines.
* Develop reusable integration frameworks and connector libraries.
* Monitor integration processes and troubleshoot production issues.
* Improve automation of onboarding and data validation workflows.
* Document integration designs, mappings, and operational procedures.
Collaboration
* Work closely with data engineers, data scientists, and machine learning engineers.
* Support data validation and quality assurance activities.
* Contribute to interoperability best practices and platform architecture.
* Serve as a technical point of contact during onboarding projects.
Required Qualifications
* 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.
Preferred Qualifications
* Experience with OMOP CDM.
* Experience with OHDSI tools and ecosystem.
* Experience mapping source systems to OMOP standard vocabularies.
* Experience with terminology services and vocabulary management.
* Familiarity with Epic, Cerner, MEDITECH, Athenahealth, eClinicalWorks, or other EHR platforms.
* Experience with healthcare cloud environments.
* Experience with Python and modern data engineering tools.
* Experience with healthcare analytics or research platforms.
Nice to Have
* Experience implementing FHIR servers or FHIR APIs.
* Experience with healthcare NLP or unstructured clinical data.
* Experience with data quality frameworks.
* Experience supporting regulatory or research data initiatives.
* Familiarity with observational research and real-world evidence platforms.
What Success Looks Like
Within your first year, you will:
* Lead onboarding and integration projects for new clients.
* Build reusable connectors that reduce onboarding effort.
* Help standardize diverse healthcare data sources into OMOP CDM.
* Improve terminology mapping and data quality processes.
* Become a trusted technical partner for client integration efforts.
* Contribute to the evolution of a modern healthcare data and AI platform.
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.

Location
Remote-friendly. Preference for candidates able to collaborate during North American business hours.
Compensation
Competitive salary based on experience and location.

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