Remote Healthcare Data Analyst Jobs
Remote Healthcare Data Analyst jobs are open across the U.S. in health insurance, hospital systems, digital health, and health IT consulting, with distributed teams at companies like HealthVerity, Sentara, and Biovid actively hiring from entry-level to senior roles. Find a role that fits below and apply directly.
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Showing 5 of 23+ Remote Healthcare Data Analyst jobs
BioVid is transforming pharmaceutical market research by replacing slow, traditional methodologies with AI-augmented data systems.
In this role, you will personally analyze the data to uncover HCP prescribing behavior and behavioral insights. You will help bridge quantitative real-world data with qualitative market research, and play a key role in developing synthetic audiences (“Digital Twins”) that mirror healthcare provider prescribing behavior and patient treatment journeys, while enabling scalable forecasting, segmentation, and market intelligence solutions.
Must-Have Qualifications
Hands-on analysis of medical / pharmacy claims data (EHR preferred)
Direct, hands-on experience analyzing the data itself — not only engineering it. You can extract and predict HCP prescribing behavior for specific drugs, for specific conditions, in specific treatment areas, and tag HCP qualitative / attitudinal segments to NPIs, associating those segments with real prescribing behavior. HIPAA requirements fluent (most of our data will be deidentified)
- Analyze medical and pharmacy claims to extract and predict HCP prescribing behavior for specific drugs, conditions, and treatment areas.
- Perform HCP / patient segmentation, demand forecasting, journey mapping, modeling
- Help build Synthetics, simulated segments and HCP equivalents.
- Machine Learning experience in modeling training and evaluating models (LLM fine tuning, training a nice to have)
- Tag qualitative / attitudinal HCP segments to NPIs and link them to observed prescribing behavior.
- Translate these analyses into actionable segmentation, targeting, and forecasting insights.
Data Cleaning, Processing, Augmentation and Transformation
- Data cleaning, scarcity, gap analysis, joining and data augmentation, transformation to create partitions, data marts and analytics workspaces for analysis and modeling in AWS/Athena.
Key Responsibilities
Data Integration & Modeling
- Data cleaning, scarcity, gap analysis, joining and data augmentation, transformation to create partitions, data marts and analytics workspaces for analysis and modeling inAWS/Athena.
- Resolve identity matching, tokenization, and data harmonization challenges across disparate sources.
- Build scalable, tested, and version-controlled data models using dbt on AWS/Athena.
Data Quality, Governance & Compliance
- Implement automated data quality checks using tools such as Great Expectations or equivalent.
Analytics, AI & Machine Learning
- Conduct advanced exploratory data analysis (EDA) and feature engineering using SQL, Python, pandas, and numpy.
- Analyze claims data to model and predict HCP prescribing behavior by drug, condition, and treatment area, and associate attitudinal segments with NPIs.
- Build AI-powered synthetic provider and patient personas grounded in real-world claims distributions.
- Develop methods to scale qualitative research insights into national quantitative projections.
- Machine Learning experience in modeling training and evaluating models. (LLM fine tuning and training a nice to have
- Perform (or help perform) and automate pharmaceutical market research including:
- HCP segmentation
- Demand forecasting
- Patient journey mapping
- Audience simulation
API & Product Delivery
- Build and maintain performant backend APIs using FastAPI, deployed on AWS (e.g., ECS/Fargate, App Runner, or Lambda).
- Deliver data products, personas, and insights to internal tools and client-facing applications.
Skills & Experience
- 5+ years in Analytics Engineering, Data Engineering, Data Science, or similar roles.
- Proven ownership of end-to-end data pipelines and scalable analytics systems on AWS.
- Hands-on experience with AWS data and analytics tooling, including Athena, S3, Glue, and SageMaker (AWS is the primary environment).
- Strong experience with healthcare claims and EHR data (Rx, Dx, medical, pharmacy) and major data vendors such as IQVIA, Komodo, Symphony, or Definitive Healthcare.
- Demonstrated hands-on analysis of medical/pharmacy claims to extract and predict HCP prescribing behavior and tag attitudinal segments to NPIs.
- Expert SQL and strong Python skills, including pandas and large-scale data workflows.
- Understanding of pharma market research, including patient journeys, HCP segmentation, and demand modeling.
- Experience integrating survey or primary research data with large quantitative datasets.
- Comfortable using AI coding assistants and agentic development tools to accelerate delivery.
BioVid is transforming pharmaceutical market research by replacing slow, traditional methodologies with AI-augmented data systems.
In this role, you will personally analyze the data to uncover HCP prescribing behavior and behavioral insights. You will help bridge quantitative real-world data with qualitative market research, and play a key role in developing synthetic audiences (“Digital Twins”) that mirror healthcare provider prescribing behavior and patient treatment journeys, while enabling scalable forecasting, segmentation, and market intelligence solutions.
Must-Have Qualifications
Hands-on analysis of medical / pharmacy claims data (EHR preferred)
Direct, hands-on experience analyzing the data itself — not only engineering it. You can extract and predict HCP prescribing behavior for specific drugs, for specific conditions, in specific treatment areas, and tag HCP qualitative / attitudinal segments to NPIs, associating those segments with real prescribing behavior. HIPAA requirements fluent (most of our data will be deidentified)
- Analyze medical and pharmacy claims to extract and predict HCP prescribing behavior for specific drugs, conditions, and treatment areas.
- Perform HCP / patient segmentation, demand forecasting, journey mapping, modeling
- Help build Synthetics, simulated segments and HCP equivalents.
- Machine Learning experience in modeling training and evaluating models (LLM fine tuning, training a nice to have)
- Tag qualitative / attitudinal HCP segments to NPIs and link them to observed prescribing behavior.
- Translate these analyses into actionable segmentation, targeting, and forecasting insights.
Data Cleaning, Processing, Augmentation and Transformation
- Data cleaning, scarcity, gap analysis, joining and data augmentation, transformation to create partitions, data marts and analytics workspaces for analysis and modeling in AWS/Athena.
Key Responsibilities
Data Integration & Modeling
- Data cleaning, scarcity, gap analysis, joining and data augmentation, transformation to create partitions, data marts and analytics workspaces for analysis and modeling inAWS/Athena.
- Resolve identity matching, tokenization, and data harmonization challenges across disparate sources.
- Build scalable, tested, and version-controlled data models using dbt on AWS/Athena.
Data Quality, Governance & Compliance
- Implement automated data quality checks using tools such as Great Expectations or equivalent.
Analytics, AI & Machine Learning
- Conduct advanced exploratory data analysis (EDA) and feature engineering using SQL, Python, pandas, and numpy.
- Analyze claims data to model and predict HCP prescribing behavior by drug, condition, and treatment area, and associate attitudinal segments with NPIs.
- Build AI-powered synthetic provider and patient personas grounded in real-world claims distributions.
- Develop methods to scale qualitative research insights into national quantitative projections.
- Machine Learning experience in modeling training and evaluating models. (LLM fine tuning and training a nice to have
- Perform (or help perform) and automate pharmaceutical market research including:
- HCP segmentation
- Demand forecasting
- Patient journey mapping
- Audience simulation
API & Product Delivery
- Build and maintain performant backend APIs using FastAPI, deployed on AWS (e.g., ECS/Fargate, App Runner, or Lambda).
- Deliver data products, personas, and insights to internal tools and client-facing applications.
Skills & Experience
- 5+ years in Analytics Engineering, Data Engineering, Data Science, or similar roles.
- Proven ownership of end-to-end data pipelines and scalable analytics systems on AWS.
- Hands-on experience with AWS data and analytics tooling, including Athena, S3, Glue, and SageMaker (AWS is the primary environment).
- Strong experience with healthcare claims and EHR data (Rx, Dx, medical, pharmacy) and major data vendors such as IQVIA, Komodo, Symphony, or Definitive Healthcare.
- Demonstrated hands-on analysis of medical/pharmacy claims to extract and predict HCP prescribing behavior and tag attitudinal segments to NPIs.
- Expert SQL and strong Python skills, including pandas and large-scale data workflows.
- Understanding of pharma market research, including patient journeys, HCP segmentation, and demand modeling.
- Experience integrating survey or primary research data with large quantitative datasets.
- Comfortable using AI coding assistants and agentic development tools to accelerate delivery.
See All 23 Remote Healthcare Data Analyst Jobs
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Find JobsRemote Healthcare Data Analyst Job Market
Who's Hiring
- HealthVerity6
- Sentara2
- Biovid1
- Otsuka1
- Guidehouse1
Top Industries Hiring
- Technology & Software7
- Healthcare & Medical Services3
- Consulting & Professional Services3
- Insurance2
- Biotechnology & Pharmaceuticals1
What Employers Look For
The qualifications that appear most often in remote healthcare data analyst jobs.
- Proficiency in SQL for querying relational databases and clinical data warehouses
- Experience with data visualization tools such as Tableau, Power BI, or Qlik
- Familiarity with EHR systems including Epic, Cerner, or Meditech
- Bachelor's degree in health informatics, statistics, computer science, or a related field
- Knowledge of healthcare terminology, ICD-10 coding, and claims data structures
- Experience with Python or R for data manipulation and statistical analysis
Tips for Your Remote Healthcare Data Analyst Job Search
Show async work output in your portfolio
Remote healthcare data analyst hiring managers want proof you can deliver without daily check-ins. Include documented analyses, annotated SQL queries, or written summaries of findings from claims or EHR data that a reviewer can evaluate on their own time.
Apply early to remote roles that fit
Migrate Mate lists remote healthcare data analyst openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sorting through unrelated listings.
Sharpen written communication for distributed teams
Remote health data teams communicate through written updates, not hallway conversations. Practice writing concise, structured summaries of your analytical findings, because remote employers screen for written clarity as seriously as technical skills in this role.
Target companies with distributed data teams
Health insurers, digital health platforms, and health IT consulting firms maintain permanent distributed analyst teams, making them more likely to have stable remote infrastructure and async workflows compared to hospital systems piloting remote work for the first time.
Prepare for remote interviews using healthcare data scenarios
Remote interviews for healthcare data analyst roles often include live SQL exercises or walk-throughs of past analysis work. Practice explaining your methodology and findings out loud on video, since remote employers judge both your technical depth and your ability to communicate clearly without a whiteboard.
Remote Healthcare Data Analyst Jobs: Frequently Asked Questions
How do I get a remote healthcare data analyst job?
Remote healthcare data analyst roles go to candidates who can demonstrate self-direction and clear written communication alongside technical skills, because distributed teams can't rely on in-person oversight. Health insurers, digital health platforms, and health IT vendors are the most active remote hirers. Strong SQL, working knowledge of claims or EHR data, and experience documenting your analysis process for async review all give you a real edge.
Which companies hire remote healthcare data analysts?
Companies hiring remote healthcare data analysts right now include HealthVerity, Sentara, and Biovid, based on current remote listings on Migrate Mate as of June 2026. Remote-first health insurers, digital health startups, and distributed health IT consulting firms make up the largest share of remote openings in this role.
Can you get a remote healthcare data analyst job with no experience?
Yes, but remote entry roles are harder to land because employers expect you to work independently from day one. Digital health startups and smaller health IT firms are more open to junior remote hires than large hospital systems. A portfolio showing claims data cleaning, EHR analysis, or a public health dataset project signals you can produce results without hand-holding, which is what remote hiring managers look for.
Do you need a degree for remote healthcare data analyst jobs?
Not always. Many remote employers weigh demonstrated skills in SQL, Python, and healthcare data systems over a specific degree, particularly at health tech companies and digital health platforms. A portfolio of real analysis work using claims, clinical, or public health data carries weight, and certifications in health informatics or data analytics can reinforce your technical credibility when you don't have a traditional four-year background.
Which industries hire the most remote healthcare data analysts?
Most remote healthcare data analyst openings sit in Technology & Software, Healthcare & Medical Services, and Consulting & Professional Services, per current remote listings on Migrate Mate as of June 2026. These sectors rely on distributed analyst teams to process high volumes of claims, clinical, and operational data across geographically spread organizations.
See All 23 Remote Healthcare Data Analyst Jobs
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