2

Remote Healthcare Data Science Jobs (NOW HIRING)

Data Science Analyst - Remote

Brentwood, TN ยท On-site +1

$75K - $87K/yr

Come join us and see for yourself why amazing health starts with amazing healthcare. For more ... This is a Full Time, remote, Data Science Analyst role. What You'll Do Data Analysis & Manipulation:

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 ...

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 ...

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 ...

Sr. Healthcare Data Analyst - Epic

Dallas, TX ยท 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 ...

Latica was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI, and cybersecurity.We look for people who are smart, open, and enjoyable to work with. We invest in ...

New

Data Engineer

Chesterfield, MO ยท 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 ...

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 ...

Healthcare Data Engineer

New York, NY ยท 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.

Data Engineer

Chesterfield, MO ยท 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 ...

next page

Showing results 1-20

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.

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.
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:
Infographic showing various Remote Healthcare Data Science job openings in the United States as of July 2026, with employment types broken down into 82% Full Time, 6% Part Time, 6% Temporary, and 6% Contract. Highlights an 100% Remote job distribution.
Senior Healthcare Data Analyst

Senior Healthcare Data Analyst

Imagine Staffing Technology

Atlanta, GA โ€ข Remote

$150K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

Job Title: Senior Medical Economics Analyst
Location: Remote (Atlanta, GA preferred)
Hire Type: Direct Hire
Pay Range: $150,000 - $160,000 Base Salary + 10% Bonus + Equity Participation
Work Model: Remote Preferred | Atlanta-Based Candidates Preferred
Schedule: Monday โ€“ Friday, Standard Business Hours
Recruiter Contact: Samantha Marranca | 716-256-1271 | smarranca@imaginestaffing.net
Nature & Scope:
Positional Overview
Our client is seeking a highly analytical and business-minded Senior Medical Economics Analyst to support the continued evolution of its healthcare analytics and predictive insights capabilities.
This is a newly created position reporting into senior leadership and will play a critical role in helping the organization transition from retrospective healthcare reporting toward forward-looking predictive analytics and strategic healthcare insights. The successful candidate will leverage healthcare economics expertise, advanced analytics, statistical methodologies, and consultative problem-solving to support executive leadership, client-facing teams, provider organizations, and value-based healthcare initiatives.
The ideal candidate will possess deep experience working with healthcare claims and population health data, demonstrate strong predictive modeling capabilities, and have the ability to transform complex healthcare data into actionable business recommendations.
This role offers the opportunity to directly influence organizational strategy, support executive decision-making, and contribute to innovative healthcare solutions focused on improving patient outcomes while reducing healthcare costs.
Role & Responsibility:
Tasks That Will Lead To Your Success
  • Analyze large-scale healthcare datasets to identify trends, risks, opportunities, and performance drivers
  • Evaluate provider performance, utilization patterns, referral behaviors, quality outcomes, and healthcare costs
  • Conduct healthcare economics analyses including:
    • PMPM (Per Member Per Month) analysis
    • Utilization trend analysis
    • Cost decomposition analysis
    • Medical cost economics evaluations
    • Quality and performance measurement
  • Perform risk-adjusted financial and utilization analyses across Commercial, Medicare Advantage, and Medicaid populations
  • Analyze longitudinal healthcare performance across multiple reporting periods
Predictive Analytics & Statistical Modeling
  • Design, develop, and operationalize predictive analytics solutions
  • Build and maintain statistical models to identify future healthcare risks and opportunities
  • Develop probability-based models supporting:
    • Population health initiatives
    • Patient risk stratification
    • Utilization forecasting
    • Cost prediction
    • Quality outcome measurement
  • Apply methodologies such as:
    • Logistic regression
    • Risk adjustment
    • Difference-in-differences analysis
    • Credibility weighting
    • Benchmarking methodologies
    • Performance normalization techniques
  • Support the organization's transition toward proactive, forward-looking healthcare insights
Data Management & Technical Analysis
  • Write advanced SQL queries to extract, transform, and analyze healthcare data
  • Create episode-level, provider-level, and member-level datasets
  • Leverage healthcare claims, enrollment, provider, and risk-adjustment data sources
  • Utilize SQL, Tableau, Excel, and Python to develop analytical solutions
  • Normalize healthcare data to account for demographic, reimbursement, geographic, and population changes
  • Ensure analytical methodologies produce accurate, meaningful, and actionable results
Strategic Consulting & Business Partnership
  • Partner with executive leadership, client success teams, sales leadership, providers, and customers to address complex business questions
  • Translate analytical findings into clear business recommendations
  • Serve as a consultative resource by identifying additional insights beyond the original request
  • Present findings to technical and non-technical audiences
  • Help stakeholders understand both the "what" and the "why" behind healthcare performance trends
  • Recommend strategic actions based on analytical findings
Value-Based Care & Program Evaluation
  • Support evaluation and optimization of value-based care programs
  • Analyze episode-of-care performance and specialty care utilization
  • Assist with pricing validation and reconciliation methodologies
  • Support network optimization and care management initiatives
  • Evaluate financial and quality outcomes across multiple healthcare populations
  • Develop frameworks supporting value-based pricing and performance measurement
Skills & Experience
Qualifications That Will Help You Thrive
Required Experience
  • Bachelorโ€™s Degree in Healthcare Analytics, Statistics, Mathematics, Economics, Actuarial Science, Data Science, Computer Science, Public Health, or related STEM discipline
  • 5+ years of healthcare analytics, medical economics, population health, healthcare consulting, payer, or health plan experience
  • Advanced SQL expertise with demonstrated experience analyzing large healthcare datasets
  • Strong healthcare economics background including medical cost analysis, utilization analysis, and performance measurement
  • Experience working with:
    • Medical Claims Data
    • Enrollment & Eligibility Data
    • Provider Data
    • Healthcare Performance Data
    • Value-Based Care Programs
  • Experience developing predictive analytics and statistical models
  • Strong analytical storytelling and consultative communication skills
  • Ability to independently manage complex projects and shifting priorities
Preferred Experience
  • Master's Degree in a quantitative discipline
  • Actuarial credentials (ASA, FSA) or actuarial experience
  • Biostatistics experience within healthcare environments
  • Experience supporting payer or health plan organizations
  • Population health analytics experience
  • Value-based care and episode-of-care experience
  • Advanced predictive modeling expertise
  • Python or R programming experience
  • Tableau development experience
  • Experience presenting findings to executive leadership and external stakeholders
Team & Environment
  • Reports directly to senior healthcare analytics leadership
  • Small, highly collaborative analytics team
  • Significant visibility with executive leadership
  • Opportunity to influence organizational strategy
  • Fast-paced environment with changing priorities
  • High level of autonomy and ownership
  • Exposure to leadership teams, provider organizations, customers, sales leadership, and client success stakeholders
Compensation & Benefits
Compensation
  • Base Salary: $150,000 โ€“ $160,000
  • Annual Bonus Opportunity (~10%)
  • Stock Option / Equity Participation
Benefits
  • Company-paid Medical, Dental, and Vision Coverage (select plans)
  • Annual HSA Contribution (~$1,740)
  • 401(k) with Company Match
  • Unlimited PTO
  • Company-Paid Life Insurance
  • Company-Paid Short-Term & Long-Term Disability
  • Employee Assistance Program
  • Professional Development Support
Why Join This Opportunity?
This is an opportunity to help shape the future of healthcare analytics within a growing organization focused on healthcare economics, predictive insights, and value-based care initiatives. You'll have direct exposure to executive leadership, meaningful ownership over strategic initiatives, and the ability to drive measurable impact across healthcare cost, quality, and patient outcomes.
Unlike larger organizations where analytics teams are highly specialized, this role offers broad influence, visibility, and the opportunity to build innovative solutions that directly affect business strategy and client success.