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Remote Healthcare Data Science Jobs (NOW HIRING)

West Virginia University Health System

$60K - $61K/yr

... science or Healthcare data analysis, business intelligence, or healthcare reporting. To be ... remote work environment. 2. Prolonged periods working at a computer workstation. WORKING ...

Apex Informatics

Data Scientist

Stay current on the latest advancements in healthcare data science and machine learning. Qualifications: Minimum 5 years of experience in data science or a related field. Less ok too, if they have a ...

Blue Ridge Care

Healthcare Data Analyst

Winchester, VA · On-site +1

Healthcare Data Analyst - Join the Blue Ridge Care Team! Blue Ridge Care works to optimize the ... Hybrid work environment: remote work permitted with periodic travel to the Winchester office ...

Src

Sr. Healthcare Data Analyst - Epic

Dallas, TX · On-site +1

$85K - $107K/yr

Hybrid, mostly remote The Healthcare Data Analyst will be a key member of the Analytics Center of ... Master's Degree or higher in a healthcare analytics, computer science, data science, or ...

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 ... Comfort working with remote team members located in the US, India, or other geographies.

nimble

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join! Join a ... analytics and data science teams to unlock the full potential of healthcare data. Key ...

KORE1 Technologies

Principal Data Scientist

Duarte, CA · Remote

$48 - $62/hr

... remote. Professional Summary: The Principal Data Scientist will drive innovation across the full lifecycle of AI/ML initiatives. You'll work hands-on with structured and unstructured healthcare data ...

KORE1 Technologies

Principal Data Scientist

Duarte, CA · Remote

... remote. Professional Summary: The Principal Data Scientist will drive innovation across the full lifecycle of AI/ML initiatives. You'll work hands-on with structured and unstructured healthcare data ...

Apex Informatics

Data Scientist

5+ SAS & SQL programming, 3+ years data science in healthcare SAS EG, SAS Studio, SQL Developer, Office 365 Microsoft Visio, Tableau, Power BI, JIRA, Epic Systems including Clarity database, Healt ...

Nimble Solutions

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Job Type Full-time Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want ... analytics and data science teams to unlock the full potential of healthcare data. Key ...

Symetra

Healthcare Data Analyst - Remote

$29.83 - $49.68/hr

Symetra has an exciting opportunity to join our team as a Healthcare Data Analyst! About the role ... Please review Symetra's Remote Network Minimum Requirements: As a remote-first organization ...

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All JobsRemote Healthcare Data Science Jobs

Remote Healthcare Data Science information

What is the difference between Remote Healthcare Data Science vs Remote Healthcare Data Analyst?

AspectRemote Healthcare Data ScienceRemote Healthcare Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills; knowledge of healthcare dataDegree in Data Analysis, Statistics, or related; proficiency in data tools; understanding of healthcare data
Work EnvironmentFocus on developing models, algorithms, and predictive analytics in healthcareFocus on interpreting data, generating reports, and supporting decision-making
Employer & Industry UsageUsed by healthcare tech companies, hospitals, research institutionsUsed by healthcare providers, insurance companies, consulting firms

Remote Healthcare Data Science involves building advanced models and algorithms to analyze healthcare data, requiring strong programming and statistical skills. In contrast, Remote Healthcare Data Analysts focus on interpreting data, creating reports, and supporting healthcare decision-making. Both roles are vital in healthcare analytics but differ in technical complexity and responsibilities.

What are some common challenges faced by remote healthcare data scientists, and how can they be addressed?

Remote healthcare data scientists often encounter challenges related to data privacy regulations, fragmented data sources, and effective collaboration with clinical teams. Navigating strict patient confidentiality laws such as HIPAA requires meticulous handling of sensitive information, often necessitating secure remote access solutions. Additionally, integrating data from various electronic health record systems can be complex. To address these challenges, it's important to proactively communicate with IT and compliance teams, use secure data transfer tools, and participate in regular virtual meetings with cross-functional healthcare professionals to ensure alignment and data integrity.

What are the key skills and qualifications needed to thrive as a Remote Healthcare Data Scientist, and why are they important?

To thrive as a Remote Healthcare Data Scientist, you need a strong background in statistics, machine learning, and healthcare analytics, typically supported by a degree in data science, statistics, computer science, or a related field. Familiarity with programming languages like Python or R, data visualization tools, and experience with healthcare data systems such as EHRs or HIPAA-compliant databases are crucial. Strong problem-solving abilities, effective communication, and the capability to work independently are essential soft skills for this remote role. These skills enable professionals to extract actionable insights from complex healthcare data, ensuring data-driven decision-making and improved patient outcomes.

Can I get a remote job as a data scientist?

Remote healthcare data science jobs are available and often require strong skills in programming, statistical analysis, and familiarity with healthcare data. Many companies offer remote positions that involve data analysis, machine learning, and reporting, with some requiring certifications or experience in healthcare or related fields.

What is a Remote Healthcare Data Scientist?

A Remote Healthcare Data Scientist is a professional who analyzes health-related data to extract insights and improve patient outcomes, all while working from a location outside of traditional healthcare settings such as hospitals or clinics. They use statistical analysis, machine learning, and data visualization to interpret large datasets from electronic health records, clinical trials, and other health sources. Remote Healthcare Data Scientists collaborate with healthcare professionals and IT teams to develop predictive models, support research, and enhance decision-making processes, often using secure telecommunication and cloud-based tools. Their work can inform policy, improve care delivery, and support public health initiatives.

Is 40 too late for data science?

Age is not a barrier to entering remote healthcare data science roles, as skills in programming, statistics, and healthcare knowledge are more important. Many professionals successfully transition into data science later in their careers by gaining relevant certifications and building a portfolio. Continuous learning and adapting to new tools like Python, R, and machine learning frameworks are key to success regardless of age.

How to become remote healthcare data analyst?

To become a remote healthcare data analyst, you typically need a bachelor's degree in data science, statistics, or a related field, along with strong skills in programming languages like Python or R and experience with healthcare data systems. Gaining certifications such as Certified Health Data Analyst (CHDA) can enhance your qualifications, and proficiency with tools like SQL and electronic health records is often required. Remote roles also demand good communication skills and self-discipline to manage tasks independently.

Can a data scientist work in healthcare?

A data scientist can work in healthcare by analyzing medical data, developing predictive models, and supporting clinical decision-making. Healthcare data science often requires knowledge of healthcare systems, statistical skills, and tools like Python or R, along with understanding privacy regulations such as HIPAA.
More about Remote Healthcare Data Science jobs
What cities are hiring for Remote Healthcare Data Science jobs? Cities with the most Remote Healthcare Data Science job openings:
What are the most commonly searched types of Healthcare Data Science jobs? The most popular types of Healthcare Data Science jobs are:
What states have the most Remote Healthcare Data Science jobs? States with the most job openings for Remote Healthcare Data Science jobs include:
What job categories do people searching Remote Healthcare Data Science jobs look for? The top searched job categories for Remote Healthcare Data Science jobs are:
Remote Healthcare Data Science jobs near you
Infographic showing various Remote Healthcare Data Science job openings in the United States as of June 2026, with employment types broken down into 62% Full Time, 15% Part Time, and 23% Contract. Highlights an 100% Remote job distribution.
Data Science Analyst - Remote

Data Science Analyst - Remote

Premise Health

Brentwood, TN • On-site, Remote

$75K - $87K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Premise Health rating

8.0

Company rating: 8.0 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

88th of 873 rated healthcare providers

Job description

Premise Health is Different on Purpose
Premise Health serves large organizations and their people with exceptional healthcare. The result? Better experiences, better health, and better value, all while helping organizations lower their healthcare costs.
Premise's mission is to help people get, stay, and be well. Come join us and see for yourself why amazing health starts with amazing healthcare. For more information, visit www.jobs.premisehealth.com.
The Data Scientist leverages machine learning, statistical modeling, and modern AI techniques to solve healthcare business problems. You will develop predictive models, build AI-powered solutions, and deliver insights to both technical and non-technical stakeholders.
This is a Full Time, remote, Data Science Analyst role.
What You'll Do
  • Analysis, Model Development & AI Solutions:
  • Perform exploratory data analysis to identify patterns and opportunities in healthcare data
  • Develop predictive models and machine learning solutions under guidance of senior team members
  • Document model methodology, assumptions, and results to ensure reproducibility
  • Design text analytics and classification pipelines using LLMs and NLP techniques
  • Build generative AI solutions including prompt engineering pipelines and LLM-based classification
  • Develop and evaluate AI agent workflows for business process automation
  • Work with LLM APIs and model serving endpoints to integrate AI into analytical solutions
  • Collaboration & Communication:
  • Partner with senior data scientists and stakeholders to align on project goals
  • Communicate findings and methodologies clearly to technical and non-technical audiences
  • Demonstrate a willingness to learn by incorporating feedback effectively
  • Technical Execution:
  • Work with common healthcare data including claims, EHR, and laboratory datasets
  • Write clean, well-structured, and documented code in Python, PySpark, SQL
  • Use Git for version control and follow structured development practices

What You'll Bring
  • Bachelor's or Master's degree in Business Analytics, Data Science, Computer Science, Statistics, or a related STEM field; or completion of an accredited data science or applied AI program
  • 3+ years of experience in data science, AI/ML or advanced analytics
  • Coursework or projects in applied machine learning and neural networks
  • Coursework or projects involving generative or agentic AI, LLMs, or NLP
  • Experience with Python, SQL, and common ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, Hugging Face, etc.)
  • Healthcare data experience preferred
  • Familiarity with deploying ML/predictive models to production environments
  • Understanding of statistical methods, AI/ML algorithms, neural networks, and deep learning concepts
  • Familiarity with generative AI concepts: prompt engineering, LLM APIs, and retrieval-augmented generation (RAG)
  • Exposure to agentic AI concepts and frameworks (e.g., LangChain, LangGraph, etc.)
  • Familiarity with Python, SQL, and Git (version control)
  • Experience with the following is a plus:
  • Cloud: Azure, Databricks
  • Version Control: GitLab
  • IDE: VS Code

Work-life balance is at the foundation of how decisions are made and where Premise is headed. We can only help people get, stay, and be well if we do the same for ourselves. In addition to competitive pay, Premise offers full-time team members benefits including medical, dental, vision, life and disability insurance, a 401(k) program with company match, paid holidays and vacation time, a company-sponsored wellness program, EAP, access to virtual primary care and virtual behavioral health at no cost for team members and their dependents. Additional benefits can be viewed here: https://jobs.premisehealth.com/benefits .
Premise is an equal opportunity employer; we value inclusion and do not discriminate based on race, color, religion, creed, national origin or ancestry, ethnicity, sex (including pregnancy and related conditions), gender identity or expression, sexual orientation, age, physical or mental disability, genetic information, past, current or prospective service in the uniformed services, or any other characteristic protected under applicable federal, state, or local law.
Premise provides its reasonable and genuinely expected range of compensation for this job of $75,000.00 - $87,000.00 annually. A number of factors will influence the rate offered for this position, including your experience, qualifications, geographic location, and other factors.
For individuals living in Washington or Colorado: Premise offers the following paid time off benefits. Employees will earn 0.0692 hours of paid time off per actual hours worked or based on standard schedule, per pay period, and will receive 10 paid holidays or an equivalent bank of hours aligned to schedule throughout the calendar year. Paid sick leave is satisfied by the paid time off accrual, detailed above.
This posting is anticipated to close within 90 days of 04/02/2026.
Should you have questions regarding this job posting, please contact askhr@premisehealth.com .

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About Premise Health

Sourced by ZipRecruiter

Premise Health is the world's leading direct healthcare provider and one of the largest digital providers in the country, serving over 11 million eligible lives across more than 2,500 of the largest commercial and municipal employers in the U.S. Premise partners with its clients to offer fully connected care - in-person and in the digital environment. It operates more than 800 onsite and nearsite wellness centers in 45 states and Guam, delivering care through the Digital Wellness Center and onsite, nearsite, mobile, and event solutions. Premise delivers value by simplifying complexity and breaking down barriers to give diverse member populations access to convenient, integrated, high-quality care. We offer more than 30 products, delivering the breadth and depth of care required to serve organizations' total populations. The result is healthcare that meets the needs of members and their families, helping them live healthier while lowering costs for organizations.

Industry

Health care and social assistance

Company size

5,001 - 10,000 Employees

Headquarters location

Brentwood, TN, US

Year founded

1975

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