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Internship Quantitative Data Analyst Jobs in Minnesota

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... quantitative field; must remain enrolled in a degree-seeking program after the internship

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... quantitative field; must remain enrolled in a degree-seeking program after the internship

New

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... quantitative field; must remain enrolled in a degree-seeking program after the internship

New

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... quantitative field; must remain enrolled in a degree-seeking program after the internship

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... quantitative field; must remain enrolled in a degree-seeking program after the internship

New

Senior Data Science Analyst

Rochester, MN · On-site

$87K - $110K/yr

... other analytical/quantitative field and a minimum of one year of professional or research experience in data. The successful candidate will need to have both technical and business background ...

Showing results 41-60

Internship Quantitative Data Analyst information

What is the difference between Internship Quantitative Data Analyst vs Data Analyst?

AspectInternship Quantitative Data AnalystData Analyst
Required CredentialsTypically pursuing or recent graduate in statistics, mathematics, or related fieldBachelor's degree in similar fields; some roles prefer experience or certifications
Work EnvironmentInternship setting, often part-time or temporary, in corporate or finance sectorsFull-time roles in various industries like finance, healthcare, or tech
Employer & Industry UsageUsed by companies to train and evaluate potential full-time analystsEstablished roles for data-driven decision making across industries
Common Search & Comparison IntentYesYes

The main difference between an Internship Quantitative Data Analyst and a Data Analyst is experience level and employment status. Internships are temporary positions aimed at gaining skills, while Data Analyst roles are full-time positions requiring more experience. Interns often work under supervision, whereas Data Analysts independently handle data projects.

What are the most commonly searched types of Quantitative Data Analyst jobs in Minnesota?

The most popular types of Quantitative Data Analyst jobs in Minnesota are:

What cities in Minnesota are hiring for Internship Quantitative Data Analyst jobs?

Cities in Minnesota with the most Internship Quantitative Data Analyst job openings:

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

On-site, Remote

$35/hr

Temporary, Internship

Posted 4 days ago


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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