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Statistical Research Assistant Jobs in Vermont (NOW HIRING)

$35/hr

... Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation ... Build and refine statistical models (e.g., propensity matching, survival analysis) under the ...

New

$35/hr

... Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation ... Build and refine statistical models (e.g., propensity matching, survival analysis) under the ...

New

$35/hr

... Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation ... Build and refine statistical models (e.g., propensity matching, survival analysis) under the ...

New

Business Analyst

Waterbury, VT · On-site

$70 - $95/hr

Serve as testing lead for DOC operational systems, assist system integration, and coordinate user ... technology, statistics, business analysis, data administration or research that uses data ...

Showing results 21-40

Statistical Research Assistant information

See Vermont salary details

$38.8K

$58.9K

$105.3K

How much do statistical research assistant jobs pay per year?

As of Sep 5, 2026, the average yearly pay for statistical research assistant in Vermont is $58,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,700.00 and $63,800.00 per year, depending on experience, location, and employer.

What is a statistical research assistant?

A Statistical Research Assistant supports research projects by collecting, analyzing, and interpreting data using statistical methods. They assist in designing experiments, managing databases, and generating reports to summarize findings. This role often involves working with software such as R, Python, or SPSS to conduct quantitative analysis. Statistical Research Assistants typically collaborate with researchers, analysts, and other professionals to ensure data accuracy and support decision-making.

What does a statistical research assistant do?

As a Statistical Research Assistant, you will frequently support research studies by collecting, cleaning, and analyzing data, as well as assisting in preparing reports and visualizations of statistical findings. Your daily tasks may include collaborating with other researchers, managing large datasets, and providing input on experimental design or survey construction. You may also be responsible for ensuring data accuracy and helping interpret results to guide decision-making within your team. Projects can range from academic research and market analysis to clinical studies and government surveys, offering varied and engaging work experiences.

What are the key skills and qualifications needed to thrive as a statistical research assistant?

To thrive as a Statistical Research Assistant, you need strong quantitative analysis skills, proficiency in statistics, and typically a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as SPSS, R, SAS, or Python, as well as experience handling datasets, is essential. Attention to detail, effective communication, and the ability to work both independently and as part of a research team are crucial soft skills. These competencies ensure accurate data analysis, effective collaboration, and the ability to support complex research projects successfully.

What are popular job titles related to Statistical Research Assistant jobs in Vermont?

For Statistical Research Assistant jobs in Vermont, the most frequently searched job titles are:

What cities in Vermont are hiring for Statistical Research Assistant jobs?

Cities in Vermont with the most Statistical Research Assistant job openings:

Infographic showing various Statistical Research Assistant job openings in Vermont as of August 2026, with employment types broken down into 58% Full Time, 33% Part Time, and 9% Temporary. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $58,851 per year, or $28.3 per hour.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Essex Junction, VT • On-site

$35/hr

Other

Posted 3 days ago

New


Key responsibilities

  • Support the design and execution of observational studies using claims and other real-world data sources.

  • Assist in data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques.

  • Build and refine statistical models such as propensity matching and survival analysis under mentorship.


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

134th of 499 rated machine equipment manufacturers


Job description

What You Get Out of the Internship

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

  • Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
  • Implement new ideas, be constantly challenged, and develop your skills
  • Network with key/high-level stakeholders and leaders of the business
  • Be a part of an innovative team and culture
  • Experience documenting complex processes and presenting them in a clear format

Who We Want

Challengers. People who seek out the hard projects and work to find just the right solutions.

Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward.

Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.

Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives.

Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.

Game changers. Persistent interns who will stop at nothing to live out Stryker’s mission to make healthcare better.

Opportunities Available

As a Real-World Evidence Data Science intern at Stryker, you will:

  • Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation programs
  • Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources
  • Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data
  • Prepare literature review summaries and evidence syntheses to support publication and regulatory submission efforts
  • Build and refine statistical models (e.g., propensity matching, survival analysis) under the mentorship of the RWE Research team
  • Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement, and commercial strategy

What You Need

Required:

  • Currently pursuing a Master’s degree in Biostatistics, Epidemiology, Health Services Research, Health Economics and Outcomes Research (HEOR), Health/Biomedical Informatics, Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program after the internship
  • Cumulative 3.0 GPA or above (verified at time of hire)
  • Must be legally authorized to work in the U.S. and not require employment-based sponsorship now or in the future
  • Proficiency in SQL and at least one statistical/analytical programming language (Python or R)
  • Coursework or applied project experience with observational/real-world data (claims, EHR, or registry data)
  • Strong written and verbal communication skills, with proven ability to collaborate and build relationships
  • Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment

Preferred:

  • Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data structures
  • Familiarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysis
  • Experience with NLP applied to unstructured healthcare text
  • Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting

$20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.


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