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Remote Healthcare Data Science Jobs (NOW HIRING)

Alignment Healthcare

Sr. AI & Data Scientist

Alignment Health is breaking the mold in conventional health care, committed to serving seniors and ... PhD in Computer Science, Machine Learning, Statistics, or related field Training Required:

Clover Health

Senior Data Scientist

At Counterpart Health, we are transforming healthcare and improving patient care with our ... The Data Science team is responsible for leveraging our most valuable asset-our data-to generate ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

... Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data ... Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or Contract 1099 (full-time - 40 ...

Sentara

Senior Healthcare Data Analyst - Remote

Centre, AL · Remote

$81K - $102K/yr

Sentara is hiring a Senior Healthcare Data Analyst! This position is fully remote. Overview The Healthcare Data Analyst Senior provides data analysis support to the customer by assisting with the ...

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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.
Healthcare Data Analyst

Healthcare Data Analyst

MM International

Chandler, AZ • Remote

Contractor

Posted 3 days ago

Job description

Title: SQL/Snowflake Data Analyst
Location: Remote 
Hours: 8 AM – 5 PM EST
Start Date: June 27
Length: 12 months CTH (Contract-to-Hire)
Interview Process: 2 Rounds (1 Culture Fit + 1 Technical Interview)
 

Role Summary:

As a Mid-Level Data and Technology Advisor, you'll:

  • Provide technical and strategic expertise within the enterprise data ecosystem.
  • Collaborate with business and analytics teams to understand and solve data challenges.
  • Develop solutions using platforms like Snowflake and support enterprise-level data strategies.
  • Work closely with stakeholders including senior leadership.

Required Skills:

  • Strong hands-on SQL experience
  • Solid Data Warehousing background
  • Experience with Snowflake (data review and uploads)
  • Healthcare/Claims industry experience
  • Excellent communication and collaboration skills
  • Bachelor’s or advanced degree