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Healthcare Data Science Jobs in Rhode Island (NOW HIRING)

Data Science Tutor

Providence, RI ยท Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Engineer 1

Providence, RI ยท On-site

$80K - $96K/yr

Bachelor's or Master's degree in healthcare administration, data science, statistics, or equivalent work experience preferred * 2+ years of experience in healthcare analytics, reporting, or related ...

Data Analyst Healthcare Data Analytics Experience Preferred Location: Warwick, RI Experience: 1+ years healthcare data analytics experience Education: A minimum of a bachelor's degree in epidemiology ...

Data Analyst

Warwick, RI ยท On-site

$60K - $75K/yr

Data Analyst Healthcare Data Analytics Experience Preferred Location: Warwick, RI Experience: 1+ years healthcare data analytics experience Education: A minimum of a bachelor's degree in epidemiology ...

Gather, compile, validate, and analyze healthcare data within the Data Warehouse to support client management of the RI Medicaid program. Provide ongoing support of data collection and analysis to ...

Data Analyst

Warwick, RI ยท On-site

$60K - $75K/yr

Warwick, RI Experience: 1+ years healthcare data analytics experience Education: A minimum of a bachelor's degree in epidemiology, biostatistics, health services research, public health, health ...

Senior Medical Economics Analyst

Providence, RI ยท On-site +1

$93K - $140K/yr

... Data Science, or Health Informatics). * Experience: Minimum 5+ years of experience analyzing healthcare data-preferably within a health plan or payer setting-and presenting actionable insights to ...

Lead Health Data Analyst

Providence, RI ยท On-site +1

$102K - $163K/yr

Advanced coursework or graduate-level education in Data Analytics, Data Science, Statistics, Economics, Finance, or a related quantitative field. * Familiarity with healthcare data domains such as ...

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Healthcare Data Science information

See Rhode Island salary details

$45K

$161.6K

$238.5K

How much do healthcare data science jobs pay per year?

As of Aug 11, 2026, the average yearly pay for healthcare data science in Rhode Island is $161,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,700.00 and $166,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Healthcare Data Scientist, you need a strong background in statistics, data analysis, programming (Python or R), and an understanding of healthcare systems, often supported by a degree in data science, computer science, or a related field. Experience with tools like SQL, machine learning frameworks, and familiarity with electronic health record (EHR) systems are typically required. Strong problem-solving skills, attention to detail, and effective communication help translate complex data insights into actionable healthcare solutions. These skills are crucial for deriving meaningful insights from complex healthcare data, improving patient outcomes, and supporting evidence-based decision-making.

What is the difference between Healthcare Data Science vs Healthcare Data Analysis?

AspectHealthcare Data ScienceHealthcare Data Analysis
Required CredentialsTypically requires a degree in data science, statistics, or related fields; often includes programming skills and knowledge of machine learningUsually requires a background in healthcare, statistics, or data analysis; may include certifications in data analysis tools
Work EnvironmentInvolves developing models, algorithms, and predictive analytics; often in research or tech-focused settingsFocuses on interpreting data, generating reports, and supporting clinical or administrative decisions
Employer & Industry UsageUsed by healthcare tech companies, research institutions, and large healthcare providersCommon in hospitals, clinics, insurance companies, and healthcare consulting firms

Healthcare Data Science and Healthcare Data Analysis share overlapping skills but differ mainly in scope. Data scientists develop advanced models and predictive tools, while data analysts focus on interpreting data and generating insights. Both roles are vital in healthcare but serve different functions within the industry.

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

Healthcare data scientists often navigate challenges such as dealing with incomplete or inconsistent medical records, ensuring patient privacy and data security, and integrating data from diverse sources like electronic health records, lab results, and imaging systems. Additionally, they must collaborate closely with clinicians and IT staff to interpret complex datasets accurately and ensure that their analyses have practical clinical value. Maintaining compliance with healthcare regulations, such as HIPAA, is also a critical aspect of the role.

What can you do with a degree in healthcare data science?

A degree in healthcare data science prepares individuals to analyze medical data, develop predictive models, and improve patient outcomes. Graduates can work as data analysts, data scientists, or informaticists in hospitals, healthcare companies, or research institutions, often using tools like Python, R, and SQL. The role involves interpreting complex data to support clinical decisions and healthcare policies.

What is healthcare data science?

Healthcare data science is a field that uses data analysis, statistics, and machine learning to extract insights from health-related data. Professionals in this area work with large datasets from sources like electronic health records, clinical trials, and wearable devices. Their goal is to improve patient outcomes, optimize hospital operations, and support medical research by turning raw data into actionable information. This field requires knowledge of healthcare systems, data management, and advanced analytics techniques.

Can a healthcare data scientist work in healthcare?

Yes, healthcare data scientists work within healthcare organizations to analyze medical data, improve patient outcomes, and optimize operational efficiency. They often use tools like Python, R, and SQL, and require knowledge of healthcare systems, data privacy regulations, and statistical methods.
What are popular job titles related to Healthcare Data Science jobs in Rhode Island? For Healthcare Data Science jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Healthcare Data Science jobs in Rhode Island look for? The top searched job categories for Healthcare Data Science jobs in Rhode Island are:
What cities in Rhode Island are hiring for Healthcare Data Science jobs? Cities in Rhode Island with the most Healthcare Data Science job openings:
Infographic showing various Healthcare Data Science job openings in Rhode Island as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $161,604 per year, or $77.7 per hour.

Executive Director, Data Science for Healthcare Operations

Hispanic Alliance for Career Enhancement

Providence, RI โ€ข On-site

$175.10 - $334.75/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Healthยฎ, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary:

We are seeking an Executive Director, PBM Analytics Product Management to lead and scale a high-impact analytics product portfolio. The Executive Director will oversee teams of data scientists working in product pods side-by-side with data engineering, product management, and design. The mission of these teams is to monitor the performance of operational systems, identify gaps and detect anomalies, and enhance them using advanced analytics and ML/AI. This leader will operate at the intersection of analytics, business strategy, and product management, partnering closely with senior executives to identify, prioritize, and deliver the highest-value opportunities.

This role requires a hands-on, execution-oriented leader who can step in on day one, quickly assess opportunities, and drive measurable business impact. The ideal candidate is a data science leader who has deployed analytical products in the healthcare space.

Key Responsibilities: Executive Leadership & Stakeholder Management
  • Serve as a trusted advisor and thought partner to VP and C-suite leaders, driving alignment on strategy, priorities, and value realization.
  • Demonstrate exceptional stakeholder management skills, effectively influencing across functions and levels to drive outcomes.
  • Navigate complex organizational dynamics with strong executive presence, credibility, and impact.
  • Orchestrate cross-functional delivery across business, product, engineering, data science, and analytics teams.
Product Strategy & Value Delivery
  • Own the end-to-end analytics strategy and solution roadmap for a handful of projects.
  • Translate business priorities into actionable analytical strategies focused on measurable outcomes, cost optimization, and enterprise value creation.
  • Identify and prioritize high-impact opportunities by analyzing business outcomes and working backwards to determine key levers for improvement.
  • Lead hypothesis-driven problem solving and rapid iteration to deliver scalable solutions.
  • Ensure products are customer- and user-centric, leveraging data, insights, and feedback to continuously refine priorities.
Team Leadership & Development
  • Lead, coach, and develop a high-performing team of data scientists and analysts.
  • Build a strong data science culture grounded in ownership, collaboration, and continuous learning.
  • Mentor talent across the organization to elevate analytics capabilities.
Required Qualifications:
  • 15+ years of experience in consulting, analytics, data science, or related fields, with increasing leadership responsibility.
  • Proven ability to operate effectively at the executive level, with strong executive presence and the ability to influence senior leaders.
  • Demonstrated expertise in stakeholder management, including aligning cross-functional teams and driving enterprise-wide initiatives.
  • Familiarity with modern styles of product management, including building and delivering software/data products in complex environments.
  • Exceptional problem-solving skills with a structured, hypothesis-driven approach.
  • Experience driving strategy and transformation initiatives, including identifying cost optimization opportunities and translating them into actionable product strategies.
  • Ability to quickly assess business challenges and begin delivering impact immediately with minimal ramp-up time.
  • Track record of orchestrating delivery across complex, matrixed organizations.
  • Strong communication skills, with the ability to clearly articulate strategy, trade-offs, and outcomes.
Preferred Qualifications:
  • Background in management consulting (highly preferred), data science training, and operating in teams that deliver analytical solutions through software products for business users.
  • Experience working in (or with) a large technology company (e.g., Big Tech), with exposure to scaled product, platform, or data ecosystems.
  • Experience in healthcare, PBM, or similarly complex, regulated industries
  • Strong business acumen with experience connecting product investments to measurable financial outcomes, including cost reduction.
  • Demonstrated cultural leadership and ability to model desired behaviors, including how they "show up" to drive engagement and alignment.
Education:
  • Bachelor's degree required.
  • Degree in computer science, statistics, mathematics or related fields preferred
  • MBA or advanced degree preferred
Pay Range

The typical pay range for this role is:

$175,100.00 - $334,750.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 08/31/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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