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Internship Data Science Law Jobs in Virginia (NOW HIRING)

Manage data science projects from conception through deployment, ensuring timely and high-quality ... Familiarity with federal law enforcement (LE) systems or prior experience in LE environments Work ...

If you are passionate about the chance to put your Data Science skills to practice in support of Federal Law Enforcement, then we are looking for you! About the Role TRSS Data Scientist candidates ...

If you are passionate about the chance to put your Data Science skills to practice in support of Federal Law Enforcement, then we are looking for you! About the Role TRSS Data Scientist candidates ...

Data Scientist

Chantilly, VA · On-site

$150 - $181/hr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering ... local law. We Deliver - Together. KBR - Delivering Solutions, Changing the World. KBR brings ...

Data Scientist

Chantilly, VA · On-site

$150K - $181K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering ... law.

Our team of data scientists and business analysts plays a critical role in unlocking the business ... Benefits: Except as otherwise required by state law, CarMax Associates are entitled to the ...

Showing results 41-60

Internship Data Science Law information

What is the difference between Internship Data Science Law vs Legal Intern?

AspectInternship Data Science LawLegal Intern
Required CredentialsBasic knowledge of data science, programming, law fundamentalsLaw students, legal studies background
Work EnvironmentLegal firms, tech companies, law departmentsLaw firms, courts, legal departments
Employer & Industry UsageLegal and tech industries integrating data analysisLegal industry primarily
Common Search & ComparisonYesYes

Internship Data Science Law and Legal Intern roles both involve legal environments, but the former emphasizes data analysis skills applied to legal issues, while the latter focuses on traditional legal research and case work. The choice depends on whether you want to develop data science expertise within legal contexts or gain legal practice experience.

Can I get an internship in data science law?

Internships in data science law are available at organizations that combine legal expertise with data analysis skills. Candidates typically need a background in data science, law, or related fields, and may be required to demonstrate proficiency in programming languages like Python or R, as well as understanding of legal data and regulations. These internships often provide practical experience in applying data analysis to legal issues and may require a strong analytical mindset and familiarity with legal research tools.

What are the most commonly searched types of Data Science Law jobs in Virginia?

The most popular types of Data Science Law jobs in Virginia are:

What cities in Virginia are hiring for Internship Data Science Law jobs?

Cities in Virginia with the most Internship Data Science Law job openings:

Infographic showing various Internship Data Science Law job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Hampton, VA • On-site

$35/hr

Other

Posted yesterday

New


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

131st of 495 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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