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Internship Pharma Data Analyst Jobs in Minnesota

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting $20 min hourly ...

New

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting $20 min hourly ...

New

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting $20 min hourly ...

New

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting $20 min hourly ...

New

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting $20 min hourly ...

New

Pharmacy Analyst III

Minnetonka, MN · On-site

$78K - $134K/yr

... data to identify trends and opportunities. This specialized pharmacy healthcare analyst role will possess an understanding of pharmacy and medical claims, pharmacy drug pricing, pharma rebates, drug ...

Intern Data Analytics

Mankato, MN · On-site +1

$20 - $21/hr

This internship will provide hands-on experience in the data analytics field. Ideal for ... undergraduate juniors, non-graduating seniors, or graduate students. The intern will learn how to ...

Intern Data Analytics

Lakeville, MN · On-site

$20 - $21/hr

This internship will provide hands-on experience in the data analytics field. Ideal for ... undergraduate juniors, non-graduating seniors, or graduate students. The intern will learn how to ...

Intern Data Analytics

Rochester, MN · On-site +1

$20 - $21/hr

This internship will provide hands-on experience in the data analytics field. Ideal for ... undergraduate juniors, non-graduating seniors, or graduate students. The intern will learn how to ...

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Showing results 1-20

Internship Pharma Data Analyst information

What does an internship Pharma Data Analyst do?

An Internship Pharma Data Analyst supports pharmaceutical companies by collecting, organizing, and analyzing healthcare and drug-related data. Their work helps teams make informed decisions about drug development, clinical trials, and market trends. Interns often use statistical software and databases to interpret data, create reports, and visualize findings. Under supervision, they may also assist with data cleaning and ensure the accuracy of research results.

What are the key skills and qualifications needed to thrive as an internship Pharma Data Analyst, and why are they important?

To thrive as an Internship Pharma Data Analyst, you need a solid foundation in statistical analysis, data interpretation, and a background in life sciences, pharmacy, or a related field. Familiarity with data analysis tools such as Excel, SQL, R, or Python and experience with clinical trial databases are typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you stand out in this role. These skills are crucial for accurately analyzing pharmaceutical data, supporting research decisions, and ensuring clear reporting to stakeholders.

What are some common challenges faced by internship Pharma Data Analysts, and how can they be addressed?

Pharma Data Analyst interns often encounter challenges such as learning to handle large, complex datasets and understanding industry-specific regulations like HIPAA. Adapting to specialized software and statistical tools can also be a hurdle. These challenges can be addressed by proactively seeking mentorship from experienced analysts, participating in training sessions provided by the company, and dedicating time to learn about data privacy standards. Collaborating with team members and asking questions will help interns quickly become comfortable with both the technical and regulatory aspects of the role.

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

AspectInternship Pharma Data AnalystPharma Data Analyst
QualificationsEnrolled in or recent graduate of relevant degree (e.g., life sciences, data analysis)Bachelor's or higher in related field, with some experience
Work EnvironmentInternship program, entry-level, training-focusedFull-time professional role, project-driven
Industry UsageTypically part of training or educational programRegular employment in pharmaceutical companies or healthcare organizations
Search & Comparison IntentUnderstanding entry-level opportunities and learning rolesSeeking experienced roles with more responsibilities

The main difference between an Internship Pharma Data Analyst and a Pharma Data Analyst is experience level and employment status. Internships are training-focused, entry-level positions for students or recent graduates, while Pharma Data Analysts are full-time professionals with more experience handling data projects in the pharmaceutical industry.

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

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

What are popular job titles related to Internship Pharma Data Analyst jobs in Minnesota?

For Internship Pharma Data Analyst jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Internship Pharma Data Analyst jobs in Minnesota look for?

The top searched job categories for Internship Pharma Data Analyst jobs in Minnesota are:

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

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

Infographic showing various Internship Pharma Data Analyst job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Minneapolis, MN • On-site, Remote

$35/hr

Temporary, Internship

Posted 3 days ago

New


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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