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Senior Healthcare Data Scientist Jobs (NOW HIRING)

EPIC Brokers

Healthcare Data Scientist

Artemetrx is PSG's robust data and analytics platform that drives measurable financial results for clients through advanced healthcare data, reporting, and analytics. The Data Scientist will support ...

COOPER PEDIATRICS

HEALTHCARE DATA SCIENTIST

Camden, NJ · On-site

$120 - $160/hr

About us At Cooper University Health Care ,our commitment to providing extraordinary health care ... The Data Scientist partners with business and operational leaders, supports senior leadership with ...

GDIT

Sr. Healthcare Data Scientist (Medicare/Medicaid)

WV · On-site +1

$97K - $132K/yr

Our work is looking for a Sr. Data Scientist with deep experience in advanced analytics and modern ... with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ...

Posted today

Lucet

Senior Healthcare Data Analyst

Chicago, IL · On-site

$103K - $115K/yr

What You Will Do - Essential Functions The Sr Analyst, Healthcare Data will be a business consultant to the rest of the organization in providing reports and analysis to support Lucet's clinical and ...

Lucet

Senior Healthcare Data Analyst

Chicago, IL · On-site

$103 - $115/hr

What You Will Do - Essential Functions The Sr Analyst, Healthcare Data will be a business consultant to the rest of the organization in providing reports and analysis to support Lucet's clinical and ...

New directions

Senior Healthcare Data Analyst

Chicago, IL · On-site

$103K - $115K/yr

What You Will Do - Essential Functions The Sr Analyst, Healthcare Data will be a business consultant to the rest of the organization in providing reports and analysis to support Lucet's clinical and ...

Latica

Senior Data Scientist

Palo Alto, CA · On-site

Who We Are At Latica, our goal is to unlock the value of healthcare data to transform patient care ... Latica was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI ...

Latica AI

Senior Data Scientist

Palo Alto, CA · On-site

$160K - $190K/yr

Who We Are At Latica, our goal is to unlock the value of healthcare data to transform patient care ... Latica was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI ...

Knit Health

Senior Data Scientist

San Francisco, CA · On-site

$140K - $175K/yr

... in healthcare settings. This role matters because model performance alone is not enough. The ... As a senior member of a small data science team, this person will also help establish strong ...

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$41.5K

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How much do senior healthcare data scientist jobs pay per year?

As of Aug 30, 2026, the average yearly pay for senior healthcare data scientist in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What is a senior healthcare data scientist?

Senior Healthcare Data Scientists are experienced professionals who analyze complex health-related data to improve patient outcomes, optimize healthcare operations, and support decision-making within medical organizations. They use advanced analytics, machine learning, and statistical techniques to uncover patterns from large datasets, such as electronic health records and medical claims. Their responsibilities often include leading data projects, collaborating with clinicians and IT teams, and ensuring data quality and privacy. With their expertise, they help healthcare organizations implement evidence-based strategies and innovative solutions to enhance patient care and operational efficiency.

How does a senior healthcare data scientist typically collaborate with clinical and IT teams to drive data-driven decision making?

A Senior Healthcare Data Scientist frequently works cross-functionally with clinical and IT teams to translate complex healthcare data into actionable insights. This involves gathering requirements from clinicians, ensuring data integrity with IT professionals, and presenting analytical findings in a way that is accessible to non-technical stakeholders. Effective communication and a collaborative approach are essential, as data scientists often help bridge the gap between technical capabilities and clinical needs. These collaborations not only improve patient outcomes but also streamline healthcare operations.

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 graduate degree in a quantitative field. Proficiency with programming languages like Python or R, data visualization tools, and experience with healthcare data systems (such as EHRs or claims databases) are standard requirements. Strong communication, problem-solving, and leadership skills help you translate complex data insights for clinical and executive audiences. These skills are essential for driving data-driven decision-making and innovation in the rapidly evolving healthcare sector.

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

AspectSenior Healthcare Data ScientistHealthcare Data Analyst
Required CredentialsAdvanced degrees (Master's/PhD), data science certificationsBachelor's or Master's in health informatics, data analysis
Work EnvironmentResearch labs, healthcare organizations, tech companiesHospitals, clinics, healthcare providers, insurance companies
Employer & Industry UsageUsed for developing predictive models, advanced analyticsFocuses on data reporting, basic analysis, and visualization

The main difference between a Senior Healthcare Data Scientist and a Healthcare Data Analyst lies in their roles and expertise. Senior Healthcare Data Scientists typically handle complex modeling, machine learning, and predictive analytics, requiring advanced credentials. Healthcare Data Analysts focus on data reporting, visualization, and basic analysis to support decision-making. Both roles are vital in healthcare but differ in complexity and scope.

Do senior healthcare data scientists work in healthcare?

Yes, senior healthcare data scientists work in healthcare settings such as hospitals, research institutions, and healthcare companies. They analyze medical data, develop predictive models, and use tools like Python, R, and SQL to improve patient outcomes and operational efficiency.

What cities are hiring for Senior Healthcare Data Scientist jobs?

Cities with the most Senior Healthcare Data Scientist job openings:

What are the most commonly searched types of Healthcare Data Scientist jobs?

The most popular types of Healthcare Data Scientist jobs are:

What states have the most Senior Healthcare Data Scientist jobs?

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

Senior Healthcare Data Scientist jobs near you
Infographic showing various Senior Healthcare Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Healthcare Data Scientist

Remote

EPIC Brokers
See more jobs at EPIC Brokersexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 hours ago

Job description

Pharmaceutical Strategies Group (PSG) relentlessly advocates for clients as they navigate complex and ever-changing drug cost management challenges. Our mission, as we partner together with our clients, is to develop innovative drug management solutions that deliver exceptional insights with financial and clinical value.
PSG, an EPIC Company, is fueled and driven by capable, committed people who share common beliefs and values and "bring it" every day. For over 30 years PSG has been leading the way in pharmacy intelligence and growing as a result. This means we have opportunities for you to join our amazing team of talented individuals!
JOB OVERVIEW:
Artemetrx is PSG's robust data and analytics platform that drives measurable financial results for clients through advanced healthcare data, reporting, and analytics. The Data Scientist will support the continued evolution of Artemetrx by helping develop, implement, and scale analytical capabilities that improve client decision-making, identify opportunities for cost and utilization management, and support the next generation of AI-enabled drug management tools.
This role is designed for a highly analytical, curious, and technically capable individual who can work with a variety of healthcare data sets, including medical and pharmacy claims data, to uncover insights, build predictive models, and support data-driven solutions. The Data Scientist will partner with clinicians, analysts, consultants, product leaders, and technical teams to translate business questions into analytical approaches, prepare and analyze complex data, and communicate findings clearly to technical and non-technical stakeholders.
LOCATION: Remote - Anywhere in the continental U.S.
WHAT WE'RE LOOKING FOR:
  • At least 2+ years of healthcare and/or pharmaceutical analytics experience
  • Strong experience using SQL to write queries
  • Python or R experience, in particular experience building data analysis, machine learning, or forecasting models
  • Positive and outgoing disposition, eager to work as a team but also functions well working independently.

WHAT YOU'LL DO:
A detailed list of job duties includes (but is not limited to):
  • Support the development and maintenance of predictive, statistical, and machine learning models that address business and client needs across Artemetrx initiatives.
  • Analyze pharmacy and medical claims data as well as other healthcare data sets to identify trends, patterns, outliers, and opportunities that inform client strategy and improve health outcomes.
  • Assist with AI roadmap initiatives
  • Prepare, clean, transform, and validate data sets to ensure accuracy, completeness, and usability for advanced analytics, reporting, dashboards, and model development.
  • Develop clean, reusable, and testable analytical code using established data team standards, libraries, and modules.
  • Support Artemetrx through maintenance of reference tables and other data sets used within the product.
  • Use programming languages such as SQL or Python to extract, manipulate, and analyze large and complex data sets.
  • Collaborate with consultants, clinicians, analysts, product teams, data engineers, and other stakeholders to understand business problems, define requirements, and deliver actionable insights.
  • Document analytical methods, assumptions, data definitions, model logic, and results to support transparency, repeatability, and quality control.
  • Communicate analytical findings and recommendations through written summaries, presentations, dashboards, and stakeholder discussions.
  • Stay current with developments in healthcare analytics, data science, machine learning, artificial intelligence, and the pharmacy benefits management industry.

WHAT YOU'LL BRING:
Requirements
  • 2+ years of experience in data science, analytics, statistics, healthcare analytics, informatics, or a related analytical role preferred.
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science or a related quantitative discipline required; master's degree or relevant coursework preferred.
  • Experience working with healthcare data, pharmacy/PBM data, medical claims, financial data, or similarly complex data sets
  • Working knowledge of SQL for data extraction, querying, and data manipulation.
  • Proficiency with Python or R for data analysis, statistical modeling, machine learning, or automation.
  • Foundational understanding of statistics, predictive modeling, supervised and unsupervised learning, regression, classification, clustering, forecasting, and model evaluation techniques.
  • Experience preparing, cleaning, validating, and analyzing raw data with a high degree of accuracy and attention to detail.
  • Ability to translate business questions into analytical approaches and communicate results in a clear, concise, and practical manner.
  • Strong problem-solving skills, intellectual curiosity, resourcefulness, and ability to learn new tools, methods, and healthcare concepts quickly.
  • Strong written and verbal communication skills, with the ability to collaborate effectively with technical and non-technical stakeholders.
  • Demonstrated ability to work independently and as part of a cross-functional team while managing multiple priorities and deadlines.
  • Proficiency with Microsoft Excel, Word, Outlook, and PowerPoint. Advanced Excel skills a plus.
  • Ability for some travel, up to 10%.
Preferred Qualifications
  • Exposure to healthcare cost, utilization, clinical, pharmacy, PBM, or drug management analytics.
  • Experience with predictive modeling, time-series forecasting, claims analytics, anomaly detection, natural language processing, or AI-enabled reporting.
  • Familiarity with data privacy, data governance, HIPAA considerations, and secure handling of sensitive healthcare information.
  • Experience supporting dashboards, reporting automation, reusable analytical workflows, or model deployment processes.

COMPENSATION:
Exempt: The base salary range for this position is $110,000 - $140,000. This range represents the employer's good faith estimate of the compensation for this role at the time of posting.
Actual compensation will be determined based on factors such as experience, skills, training, certifications, education, internal equity, and market data. This role may also be eligible for bonuses and a comprehensive benefits package.
WHY EPIC:
EPIC has over 60 offices and 4,000 employees nationwide - and we're growing! It's a great time to join the team and be a part of this growth. We offer:
  • Generous Paid Time off
    • Managed PTO for salaried/exempt employees (personal time off without accruals or caps); 22 PTO days starting out for hourly/non-exempt employees; 12 company-observed paid holidays; 4 early-close days
  • Generous leave time options: Paid parental leave, pregnancy disability and bonding leave, and organ donor/bone marrow donor leave
  • Generous employee referral bonus program of $1,500 per hired referral
  • Employee recognition programs for demonstrating EPIC's values plus additional employee recognition awards and programs (and trips!)
  • Employee Resource Groups: Women's Coalition, EPIC Veterans Group
  • Professional growth & development: Mentorship Program, Tuition Reimbursement Program, Leadership Development
  • Unique benefits such as Pet Insurance, Identity Theft & Fraud Protection Coverage, Legal Planning, Family Planning, and Menopause & Midlife Support
  • Additional benefits include (but are not limited to): 401(k) matching, medical insurance, dental insurance, vision insurance, and wellness & employee assistance programs
  • 50/50 Work Culture: EPIC fosters a 50/50 culture between producers and the rest of the business, supporting collaboration, teamwork, and an inclusive work environment. It takes both production and service to be EPIC!
  • EPIC Gives Back - Some of our charitable efforts include Donation Connection, Employee Assistance Fund, and People First Foundation
  • We're in the top 10 of property/casualty agencies according to "Insurance Journal"

To learn more about EPIC, visit our Careers Page: https://www.epicbrokers.com/about/epic-careers/.
EPIC embraces diversity in all its various forms-whether it be diversity of thought, background, race, religion, gender, skills or experience. We are committed to fostering a work community where every colleague feels welcomed, valued, respected and heard. It is our belief that diversity drives innovation and that creating an environment where every employee feels included and empowered, helps us to deliver the best outcome to our clients.
California Applicants - View your privacy rights at: https://www.epicbrokers.com/wp-content/uploads/2025/01/epic-ca-employee-privacy-notice.pdf.
Massachusetts G.L.c. 149 section 19B (b) requires the following statement: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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