Scientist Visa Sponsorship Jobs in Rhode Island
Rhode Island's scientist job market centers on Providence and the Narragansett Bay corridor, with employers like Brown University, University of Rhode Island, CVS Health, and Lifespan Health System regularly sponsoring international researchers. Biomedical research, marine science, and pharmaceutical development drive the most active hiring for visa-sponsored scientist roles in the state.
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Get Access To All JobsWe’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, 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
CVS Health's Analytics & Behavior Change (A&BC) team is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&BC leverages advanced analytics, clinical informatics, and hypothesis-driven approaches to transform data into actionable, customer-centric insights that drive growth, improve health outcomes, and expand access to healthcare across all CVS Health businesses. Our teams build next-generation data and AI products that help power CVS Health to make healthier happen for 100+ million customers.
The A&BC organization is looking to grow its Clinical Data Science & AI team. Join us as we embark on an exciting journey to drive a transformational shift in how CVS Health leverages clinical data and analytics to become the leader in consumer healthcare in the U.S.
As a Lead Decision Scientist – Patient Insights Optimization, you will be tasked with understanding and quantifying the impact of clinical data on applications across CVS and Aetna. Your work will expose you to both the breadth and depth of uses of clinical data, and will inform strategic decisions about which investments in data CVS will make.
You will:
- Oversee multiple concurrent analytics projects in the field of healthcare and clinical data, ensuring a high standard of analytical rigor and execution.
- Provide technical leadership to a team of data and decision scientists, including setting standards for code quality, code review, and testing, while still remaining deeply embedded in the analytical work itself.
- Define a roadmap that delivers ongoing value to stakeholders while at the same time investing in maturing analytics engineering practices to scale the team’s efforts.
- Partner with product owners to design effective and creative analytical solutions to business needs, and with Engineering to efficiently productionize these solutions.
- Use advanced statistics and mathematics judiciously where it solves critical business problems.
- Communicate technical concepts to a range of audiences, including business leaders, using effective storytelling and data visualization where its helpful.
- Uphold a high standard of documentation for both the team’s impact and its analytical foundation.
Required Qualifications
- 7+ years of relevant analytics experience.
- A track record of leading analytics projects from concept to delivery while coordinating across a diverse set of stakeholders.
- Knowledge of engineering best practices for analytics, including version control, testing, and CI/CD.
- Strong proficiency with SQL, including writing efficient, well-structured queries and developing maintainable analytical data pipelines.
- Experience using at least one of the leading cloud platforms (GCP, AWS, Azure), and knowledge of best practices around data governance.
- Proficiency with Python, including aspects like dependency management and testing, as well as standard DS libraries like NumPy, pandas, and polars.
- Strong written and verbal communication skills, including the ability to present complex ideas to various audiences.
Preferred Qualifications
- Deep expertise in the healthcare domain and clinical data, including familiarity with FHIR and CCDA.
- Experience advocating for and establishing engineering best practices in analytics teams.
- Familiarity with Google Cloud Platform (GCP) tools, including BigQuery and Vertex AI.
- Hands-on experience with tools for the creation and management of complex analytic projects such as dbt, Airflow, and Cloud Composer.
- Training in advanced statistics, machine learning, and optimization.
Education Requirements
Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Master’s degree or Ph.D. preferred.
Pay Range
The typical pay range for this role is:
$118,450.00 - $260,590.00
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: 06/30/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, 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
CVS Health's Analytics & Behavior Change (A&BC) team is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&BC leverages advanced analytics, clinical informatics, and hypothesis-driven approaches to transform data into actionable, customer-centric insights that drive growth, improve health outcomes, and expand access to healthcare across all CVS Health businesses. Our teams build next-generation data and AI products that help power CVS Health to make healthier happen for 100+ million customers.
The A&BC organization is looking to grow its Clinical Data Science & AI team. Join us as we embark on an exciting journey to drive a transformational shift in how CVS Health leverages clinical data and analytics to become the leader in consumer healthcare in the U.S.
As a Lead Decision Scientist – Patient Insights Optimization, you will be tasked with understanding and quantifying the impact of clinical data on applications across CVS and Aetna. Your work will expose you to both the breadth and depth of uses of clinical data, and will inform strategic decisions about which investments in data CVS will make.
You will:
- Oversee multiple concurrent analytics projects in the field of healthcare and clinical data, ensuring a high standard of analytical rigor and execution.
- Provide technical leadership to a team of data and decision scientists, including setting standards for code quality, code review, and testing, while still remaining deeply embedded in the analytical work itself.
- Define a roadmap that delivers ongoing value to stakeholders while at the same time investing in maturing analytics engineering practices to scale the team’s efforts.
- Partner with product owners to design effective and creative analytical solutions to business needs, and with Engineering to efficiently productionize these solutions.
- Use advanced statistics and mathematics judiciously where it solves critical business problems.
- Communicate technical concepts to a range of audiences, including business leaders, using effective storytelling and data visualization where its helpful.
- Uphold a high standard of documentation for both the team’s impact and its analytical foundation.
Required Qualifications
- 7+ years of relevant analytics experience.
- A track record of leading analytics projects from concept to delivery while coordinating across a diverse set of stakeholders.
- Knowledge of engineering best practices for analytics, including version control, testing, and CI/CD.
- Strong proficiency with SQL, including writing efficient, well-structured queries and developing maintainable analytical data pipelines.
- Experience using at least one of the leading cloud platforms (GCP, AWS, Azure), and knowledge of best practices around data governance.
- Proficiency with Python, including aspects like dependency management and testing, as well as standard DS libraries like NumPy, pandas, and polars.
- Strong written and verbal communication skills, including the ability to present complex ideas to various audiences.
Preferred Qualifications
- Deep expertise in the healthcare domain and clinical data, including familiarity with FHIR and CCDA.
- Experience advocating for and establishing engineering best practices in analytics teams.
- Familiarity with Google Cloud Platform (GCP) tools, including BigQuery and Vertex AI.
- Hands-on experience with tools for the creation and management of complex analytic projects such as dbt, Airflow, and Cloud Composer.
- Training in advanced statistics, machine learning, and optimization.
Education Requirements
Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Master’s degree or Ph.D. preferred.
Pay Range
The typical pay range for this role is:
$118,450.00 - $260,590.00
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: 06/30/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Scientist Job Roles in Rhode Island
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Search Scientist Jobs in Rhode IslandScientist Jobs in Rhode Island: Frequently Asked Questions
Which companies sponsor visas for scientists in Rhode Island?
The most consistent sponsors for scientist roles in Rhode Island include Brown University, the University of Rhode Island, Roger Williams University, Lifespan Health System, and Care New England. In the private sector, companies such as Amgen (with a regional presence), Atrion, and biotech firms along the I-95 corridor have filed H-1B petitions for research and laboratory scientist positions. Academic medical centers tend to sponsor the most consistently.
Which visa types are most common for scientist roles in Rhode Island?
The H-1B is the most common visa for scientist roles, covering positions like research scientist, biochemist, and microbiologist where a relevant bachelor's or advanced degree is required. J-1 visas are widely used at Brown University and URI for postdoctoral researchers. Scientists with extraordinary ability may qualify for the O-1A. Those pursuing permanent residence often use the EB-1B or EB-2 NIW pathways, which are well-suited to research-focused careers.
Which cities in Rhode Island have the most scientist sponsorship jobs?
Providence accounts for the largest share of scientist sponsorship jobs in Rhode Island, driven by Brown University, Brown's affiliated hospitals, and the growing life sciences cluster in the Jewelry District. Kingston is a secondary hub due to the University of Rhode Island's research programs, particularly in marine and environmental science. Woonsocket has some activity tied to CVS Health's research and analytics operations.
How to find scientist visa sponsorship jobs in Rhode Island?
Migrate Mate filters scientist jobs in Rhode Island specifically by visa sponsorship availability, saving you from sorting through listings where sponsorship is unclear. You can search by role type, such as research scientist or marine biologist, and see which Rhode Island employers have active sponsorship openings. Given the concentration of positions at universities and medical centers, Migrate Mate's filters help identify both academic and private-sector opportunities in the state.
Are there state-specific factors that affect scientist visa sponsorship in Rhode Island?
Rhode Island's small size means the sponsored scientist job market is concentrated among a handful of major institutions, so competition for positions at Brown or URI can be significant. The state's strength in marine science, biomedical research, and pharmaceutical services creates niche demand for specialized scientists. Rhode Island also participates in federal research funding programs tied to NOAA and NIH, which supports sponsorship activity at university-affiliated labs along the coast.
What is the prevailing wage for sponsored scientist jobs in Rhode Island?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
See which scientist employers are hiring and sponsoring visas in Rhode Island right now.
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