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Senior Healthcare Data Science Jobs (NOW HIRING)

Medeloop

Healthcare Data Scientist (RWD)

Boston, MA

We are seeking a Healthcare Data Scientist (Real-World Evidence) to answer complex healthcare and biopharma questions using large-scale real-world data and help shape the next generation of AI ...

Latica

Senior Data Scientist

Palo Alto, CA · On-site

$160K - $190K/yr

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 ...

Latica AI

Senior Data Scientist

Palo Alto, CA · On-site

$160K - $190K/yr

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 ...

Latica

Senior Data Scientist

Palo Alto, CA · On-site

$160K - $190K/yr

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 ...

Knit Health

Senior Data Scientist

San Francisco, CA · On-site

$140K - $175K/yr

... healthcare organizations can use. As a senior member of a small data science team, this person will also help establish strong scientific and analytical practices while supporting the growth of ...

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 ...

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Senior Healthcare Data Science information

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How much do senior healthcare data science jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for senior healthcare data science in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What is a senior healthcare data scientist?

A Senior Healthcare Data Scientist is an experienced professional who analyzes complex health-related data to improve patient outcomes, healthcare operations, and decision-making. They use advanced statistical methods, machine learning, and data modeling to interpret medical records, clinical trial results, insurance claims, and other healthcare data sources. In addition to technical expertise, they often collaborate with clinicians, administrators, and IT teams to implement data-driven solutions and support evidence-based practices. Their work helps healthcare organizations optimize care delivery, reduce costs, and advance medical research.

What are the key skills and qualifications needed to thrive as a senior healthcare data scientist?

To thrive as a Senior Healthcare Data Scientist, you need advanced expertise in statistics, machine learning, and healthcare analytics, typically supported by a master's or PhD in a quantitative field. Mastery of tools like Python, R, SQL, and familiarity with healthcare data standards and cloud platforms is essential. Strong problem-solving, communication, and leadership skills help drive impactful solutions and bridge the gap between technical teams and healthcare stakeholders. These abilities are critical for generating actionable insights, improving patient outcomes, and ensuring data-driven decision-making in complex healthcare environments.

What are some common challenges faced by senior healthcare data scientists when working with clinical data?

Senior Healthcare Data Scientists often navigate challenges such as integrating data from diverse sources, ensuring data quality, and maintaining patient privacy in compliance with regulations like HIPAA. Dealing with incomplete or inconsistent electronic health records can be time-consuming, requiring strong data cleaning and validation skills. Collaboration with clinicians and IT teams is essential to accurately interpret data and translate findings into actionable insights for patient care and strategic decision-making.

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

AspectSenior Healthcare Data ScienceHealthcare Data Analyst
Required CredentialsAdvanced degrees (Master's/PhD), experience in data science, programming skillsBachelor's degree, proficiency in data analysis tools, basic statistical knowledge
Work EnvironmentCross-functional teams, research projects, predictive modelingData reporting, data cleaning, basic analysis in healthcare settings
Employer & Industry UsageHospitals, healthcare tech companies, research institutionsClinics, insurance companies, healthcare providers
Common Search & Comparison IntentUnderstanding senior-level roles, qualifications, responsibilitiesEntry to mid-level analysis tasks, data reporting roles

Senior Healthcare Data Scientists focus on advanced analytics, predictive modeling, and developing algorithms, often requiring higher education and specialized skills. Healthcare Data Analysts perform routine data reporting and basic analysis. While both roles work within healthcare, they differ in complexity, responsibilities, and required expertise.

What cities are hiring for Senior Healthcare Data Science jobs?

Cities with the most Senior 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 Senior Healthcare Data Science jobs?

States with the most job openings for Senior Healthcare Data Science jobs include:

Senior Healthcare Data Science jobs near you
Infographic showing various Senior Healthcare Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.

Senior Healthcare Data Analyst

Imagine Staffing Technology

Atlanta, GA • Remote

$150K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 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 – 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
  • Bachelor’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 – $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.