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Senior Healthcare Data Science Jobs (NOW HIRING)

Accompany Health

Senior Healthcare Data Analyst

$120K - $135K/yr

As a Senior Healthcare Data Analyst for Accompany Health you will be: * A mission-critical, early part of our growing finance team (and company) * Help to build the data assets, processes and models ...

BerryDunn

Senior Healthcare Data Engineer

Portland, ME · On-site +1

$108K - $147K/yr

Overview BerryDunn's Healthcare Analytics Practice Group i s looking for a Senior Healthcare Data ... A bachelor's degree in computer science, mathematics, statistics, economics, engineering, or ...

BerryDunn

Senior Healthcare Data Engineer

Portland, ME · On-site +1

$108K - $147K/yr

Overview BerryDunn's Healthcare Analytics Practice Group i s looking for a Senior Healthcare Data ... A bachelor\'s degree in computer science, mathematics, statistics, economics, engineering, or ...

Milliman

Senior Healthcare Data Engineer

Seattle, WA · Remote

$120K - $163K/yr

In this role, you will develop and maintain data pipelines that process healthcare claims and ... The position reports to a senior manager who leads technical direction for the team. The VRDC is a ...

Premise Health

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

The Data Scientist leverages machine learning, statistical modeling, and modern AI techniques to ... healthcare data * Develop predictive models and machine learning solutions under guidance of senior ...

Versant Health

Senior Data Scientist

Troy, NY · On-site

Versant Health is one of the nation's leading administrators of managed vision care, serving ... This role operates at the intersection of data science, data engineering, cloud analytics platforms ...

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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 Jun 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.

How much does a senior data scientist earn?

A senior healthcare data scientist typically earns between $100,000 and $150,000 annually, depending on experience, location, and the organization. Advanced skills in machine learning, statistical analysis, and healthcare data tools can influence salary levels.

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.

Do data scientists work in healthcare?

Yes, data scientists work in healthcare by analyzing medical data, developing predictive models, and improving patient outcomes. They often use tools like Python, R, and machine learning techniques to interpret large datasets from electronic health records and clinical trials.

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.

Is 40 too late for data science?

Age is not a barrier to becoming a senior healthcare data scientist, as the field values skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and healthcare data analysis through certifications or advanced degrees. Success depends on your ability to develop technical skills and adapt to industry tools like Python, R, and healthcare databases.

Will healthcare data analyst be replaced by AI?

Healthcare data analysts, including senior roles, analyze complex medical data to support clinical and operational decisions. While AI tools can automate data processing and basic analysis, human expertise is essential for interpreting results, ensuring data quality, and making strategic decisions, so complete replacement is unlikely in the near term.

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

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.
More about Senior Healthcare Data Science jobs
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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:
What job categories do people searching Senior Healthcare Data Science jobs look for? The top searched job categories for Senior Healthcare Data Science jobs are:
Senior Healthcare Data Science jobs near you
Sr. Healthcare Data Analyst - Epic

Sr. Healthcare Data Analyst - Epic

Scottish Rite for Children

Dallas, TX • On-site

$85K - $107K/yr

Full-time

Posted 21 days ago

Scottish Rite For Children rating

7.5

Company rating: 7.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

285th of 1,001 rated hospitals

Job description

Our patients are our number one priority! We're committed to giving children back their childhood!
Job Posting Title:
Sr. Healthcare Data Analyst - Epic
Location:
Dallas - Hospital
Additional Posting Details:
  • Mon - Fri, 8am - 5pm.
  • Hybrid, mostly remote

Job Description:
The Healthcare Data Analyst will be a key member of the Analytics Center of Excellence working closely with organizational stakeholders to define, develop, and deliver effective business intelligence and analytics solutions. The Analytics team is essential to transforming how organizational data assets are leveraged to deliver meaningful analytics insights and to enable data-driven decision making in support of the organization's clinical, operational, and financial strategy.
Duties/Responsibilities
  • Query healthcare data from multiple sources including electronic medical records, patient experience surveys, claims, and administrative systems to discover meaningful analytical insights for clinical, business, and strategic initiatives.
  • Analyze business requirements and source systems to translate these inputs into technical data specifications and workflows for the design and development of analytical solutions.
  • Design, develop, validate, and monitor reports and dashboards to track key healthcare clinical quality, operational, and financial data.
  • Design, develop, and automate clinical quality and operational performance metrics. Maintain knowledge base of data requirements and measure definitions.
  • Conduct analysis, including benchmarking and performance forecasts, to enable data informed decision making.
  • Perform advanced analytics such as statistical analysis and predictive model development to support clinical and business strategy.
  • Adhere to data management and analytics best practices to ensure timely and accurate delivery of high-quality analytics products.
  • Establish and maintain data dictionaries, metadata, data definitions, release notes, and other documentation that supports organizational data governance and change management.
  • Work closely and collaboratively with multidisciplinary project teams to provide comprehensive analytical support on organizational initiatives. Interpret, explain, and discuss data analysis results with project team. Make data informed recommendations and support strategies for improving healthcare delivery and outcomes.
  • Apply a thorough and methodical approach to analysis and presentation of data results including use of data visualizations. Structure analytical results in an organized, visual manner to tell a meaningful and actionable story. Use effective written and verbal communication skills to present analysis and results to diverse stakeholders.
  • Assess analytics project requirements by performing workflow assessments, capturing business needs, and documenting assumptions, risk, issues, definitions to develop a thorough project plan with realistic goals and timelines.
  • Evaluate data needs of assigned projects, assure data integrity and suitability, and determine data collection methods, metrics definitions and evaluation methods.
  • Prepares and deliver business communications, including meeting agendas, presentations, business reports and project communications plans to effectively meet stakeholder needs and expectations.
  • Coaches and develops other team members, acting as a resource of knowledge and guidance. May supervise and ensure the quality of work performed by others.

Required Skills/Abilities
  • Bachelor's degree, preferably in healthcare analytics, computer science, data science, information technology, computer engineering, or other computational quantitative field required.
  • Master's Degree or higher in a healthcare analytics, computer science, data science, or quantitative based discipline such as economics, epidemiology, statistics, public health, or health services research preferred.
  • 5+ years of relevant healthcare industry experience working in analytics, reporting, business intelligence, or data management role required.
  • 5+ years of experience in data management, data visualization, and analytics using tools such as MS SQL, SSRS, Power BI, Tableau, SAS, or R required.
  • Working knowledge of relational database and data warehouse concepts required.
  • Epic or Workday knowledge required.
  • Working knowledge of MS Office Applications required.
  • Technical project management experience preferred.

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