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Internship Blockchain Data Scientist Jobs in Waterloo, WI

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

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What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

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Internship Blockchain Data Scientist information

See Waterloo, WI salary details

$44.4K

$159.4K

$235.2K

How much do internship blockchain data scientist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for internship blockchain data scientist in Waterloo, WI is $159,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,000.00 and $164,200.00 per year, depending on experience, location, and employer.

What does an internship blockchain data scientist do?

An Internship Blockchain Data Scientist assists in analyzing and interpreting data related to blockchain networks and applications. They often work with large datasets from blockchain transactions, develop algorithms to identify trends or anomalies, and help improve the efficiency and security of blockchain systems. Interns may also support the development of predictive models, data visualizations, and reports to guide business or research decisions. This role typically involves working closely with engineering and analytics teams while gaining hands-on experience with blockchain technologies.

What types of projects and responsibilities can an internship blockchain data scientist expect during their internship?

As an Internship Blockchain Data Scientist, you can expect to work on projects involving the analysis of blockchain data, developing algorithms to detect patterns or anomalies, and assisting with the creation of predictive models for decentralized applications. Interns often collaborate closely with experienced data scientists, blockchain developers, and product managers to solve real-world business problems and contribute to research initiatives. This role is a great opportunity to gain hands-on experience with blockchain technologies, data mining, and visualization tools, all while building a foundation for a future career in this rapidly evolving field.

What are the key skills and qualifications needed to thrive as an internship blockchain data scientist, and why are they important?

To thrive as an Internship Blockchain Data Scientist, you need a foundation in data science, programming (Python, R), and a basic understanding of blockchain technology, often supported by coursework or relevant projects. Familiarity with tools like SQL, TensorFlow, blockchain platforms (e.g., Ethereum), and data visualization software is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills make candidates stand out in this role. These skills are crucial for interpreting complex blockchain data, developing innovative analytics solutions, and collaborating across technical and non-technical teams.
Infographic showing various Internship Blockchain Data Scientist job openings in Waterloo, WI as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $159,398 per year, or $76.6 per hour.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Madison, WI • On-site, Remote

$35/hr

Temporary, Internship

Posted 2 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

133rd of 496 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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