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Senior Healthcare Data Science Jobs (NOW HIRING)

Become a part of our caring community The Senior Data Scientist uses advanced analytics, machine ... healthcare outcomes and operational performance. * Contribute to data science best practices ...

Become a part of our caring community The Senior Data Scientist uses advanced analytics, machine ... healthcare outcomes and operational performance. * Contribute to data science best practices ...

... python, Healthcare experience Highly preferred is the python framework Streamlit Key ... Proven experience building and deploying production-grade data science solutions * Experience ...

Become a part of our caring community The Senior Data Scientist uses advanced analytics, machine ... healthcare outcomes and operational performance. * Contribute to data science best practices ...

Senior Data Scientist

Chicago, IL · On-site

$140K - $180K/yr

For senior professionals ready to shape the future of AI and Data Science, your next big ... Experience working with Electronic Medical Record systems and healthcare data file types (e.g., HL7 ...

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver ... partner with senior leaders, and shape the future of data-driven healthcare solutions.

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver ... partner with senior leaders, and shape the future of data-driven healthcare solutions.

Sr Manager, Data Science

Woonsocket, RI · On-site +1

$140K - $260K/yr

At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose ... Sr. Manager Data Science to: Leads data science team to develop insights from data in order to ...

New

... healthcare stakeholders. * Technical Advisory and Client Engagement: Serve as a senior technical advisor to client leaders, translating complex data science and Gen AI concepts into practical ...

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver ... partner with senior leaders, and shape the future of data-driven healthcare solutions.

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Senior Healthcare Data Science information

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$16

$56

$81

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:

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.

Healthcare Operations Data Analyst - LH

Luminare Health

Remote

Full-time

Medical, Life, Retirement, PTO

Re-posted 12 days ago


Luminare Health rating

7.0

Company rating: 7.0 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

267th of 494 rated business services


Job description

At Luminare Health, our people are what set us apart. Their expertise, dedication, and passion for service excellence are the foundation of our success.


We're committed to helping our employees grow through thoughtful development opportunities, meaningful work, and a culture that values collaboration and continuous improvement. When you join Luminare Health, you join a purpose-driven team focused on making healthcare simpler, better, and more affordable.

Job SummaryLocation: This position may be performed remotely from anywhere within the continental United States, excluding California, New York, Alaska, and Hawaii.
The Data Analyst Business Transformation is responsible for sourcing, transforming, validating, and analyzing data to support performance reporting, operational analytics, and regulatory needs. This role focuses on data extraction, transformation, modeling, and exploratory analysis to ensure accurate, reliable, and well-structured datasets for downstream reporting and performance management.
The Data Analyst partners closely with Senior Performance Reporting Analysts, operations, and IT teams to ensure that performance reporting is built on high-quality, trusted data.
Job Description
Extract data from core systems, including claims, enrollment, provider, utilization management, call center, and financial systems.
Develop and maintain SQL queries, views, and data models to support reporting and analytics needs.
Perform data transformations, joins, and aggregations to create analysis-ready datasets.
Support data ingestion and integration across multiple source systems.
Perform data validation, reconciliation, and quality checks to ensure accuracy, completeness, and consistency.
Investigate and resolve data anomalies in collaboration with IT, vendors, and business stakeholders.
Document data sources, logic, and transformation rules.
Conduct exploratory and ad-hoc analysis to answer operational and business questions.
Support root cause analysis and investigative work requested by performance and operations teams.
Identify data trends, anomalies, and patterns that may impact operational performance.
Deliver validated datasets and analytical outputs to Senior Performance Reporting Analysts and reporting teams.
Support the development of dashboards and reports by ensuring that underlying data is accurate and performant.
Assist with performance metric calculations as defined by reporting governance.
Collaborate with data engineering and IT teams on data warehouse, data mart, and reporting layer enhancements.
Support automation of data pipelines and recurring analytical processes.
Participate in data governance, metadata management, and documentation initiatives.
Minimum Requirements:
Bachelor's degree in Analytics, Data Science, Information Systems, Computer Science, or a related field.
2-5+ years of experience in a data analyst or analytics role, preferably in healthcare, insurance, or a TPA environment.
Strong SQL skills and experience working with relational databases and large datasets.
Experience supporting BI and reporting tools (e.g., Power BI, Tableau)
Strong analytical, problem-solving, and data validation skills.
Preferred Requirements:
Experience with healthcare claims, enrollment, or provider data.
Familiarity with AS400 systems and healthcare data warehouses.
Experience with scripting or analytical tools (e.g., Python, R) for data analysis.
Understanding of healthcare regulatory and reporting requirements.

Minimum Requirements:

  • Bachelor's degree in Analytics, Data Science, Information Systems, Computer Science, or a related field.

  • 2-5+ years of experience in a data analyst or analytics role, preferably in healthcare, insurance, or a TPA environment.

  • Strong SQL skills and experience working with relational databases and large datasets.

  • Experience supporting BI and reporting tools (e.g., Power BI, Tableau)

  • Strong analytical, problem-solving, and data validation skills.

Preferred Requirements:

  • Experience with healthcare claims, enrollment, or provider data.

  • Familiarity with AS400 systems and healthcare data warehouses.

  • Experience with scripting or analytical tools (e.g., Python, R) for data analysis.

  • Understanding of healthcare regulatory and reporting requirements.

Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!

EEO Statement:

We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics.

Pay Transparency Statement:

At Luminare, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan,pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package forassociates.

The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plansubject to the terms and the conditions of the plan.

Min to Max Range:

$57,800.00 - $108,500.00

Exact compensation may vary based on skills, experience, and location.


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