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Data Intern Jobs in Reston, VA (NOW HIRING)

Compliance Intern Acuity Politics was founded by Josie Olsen, John Roberson, and Shayne Thoman ... Getting there includes comprehensive data management and an acute understanding of campaign finance ...

New

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Data Integrations : Develop skills in writing efficient and reusable programs to cleanse integrate ...

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Data Integrations : Develop skills in writing efficient and reusable programs to cleanse integrate ...

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Data Integrations : Develop skills in writing efficient and reusable programs to cleanse integrate ...

Research Intern

Washington, DC · On-site

$18.50 - $20/hr

Research Intern Internship Category: Paid Applicable Academic Field(s): Political Science ... Support projects and activities related to alternative data collection efforts, data presentation ...

Posted today

Research Intern

Washington, DC · On-site

$18.50 - $20/hr

Research Intern Internship Category: Paid Applicable Academic Field(s): Political Science ... Support projects and activities related to alternative data collection efforts, data presentation ...

Posted today

Accounting Intern Pay: $23/hr The Accounting Intern will provide support to the accounting team by ... Prepare and record journal entries in NetSuite ERP system. * Assist with research, data entry, and ...

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Data Intern information

See Reston, VA salary details

$12

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$43

How much do data intern jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data intern in Reston, VA is $23.41, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $25.53 per hour, depending on experience, location, and employer.

What types of projects and tasks can a data intern typically expect to work on during their internship?

As a Data Intern, you can expect to be involved in a variety of hands-on projects such as cleaning and organizing datasets, assisting with data collection, and supporting the development of reports or dashboards. You may work closely with data analysts, data scientists, or business teams to help identify trends and uncover insights from raw data. This role often includes learning to use data analysis tools like Excel, Python, or SQL, and contributing to ongoing team projects while gaining exposure to real-world data challenges. Interns are usually given guidance and mentorship, making this a great opportunity to build foundational skills and understand how data-driven decisions are made in the organization.

What are the key skills and qualifications needed to thrive as a data intern, and why are they important?

To thrive as a Data Intern, you typically need foundational knowledge in data analysis, statistics, and programming languages such as Python or R, often supported by coursework in computer science or a related field. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software, and SQL databases is commonly expected. Strong attention to detail, problem-solving ability, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for accurately analyzing data, supporting business decisions, and contributing meaningfully to projects in a collaborative environment.

What is the difference between Data Intern vs Data Analyst?

AspectData InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some experience
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time role, responsible for analyzing data and reporting
Employer & Industry UsageInternships in tech, finance, healthcare, etc.Established companies across various industries

The main difference between a Data Intern and a Data Analyst lies in experience and responsibilities. Data Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are more experienced professionals responsible for analyzing data, creating reports, and supporting decision-making. Internships serve as a stepping stone toward a full Data Analyst role, which requires more skills and experience.

What are the most commonly searched types of Data jobs in Reston, VA?

The most popular types of Data jobs in Reston, VA are:

What cities near Reston, VA are hiring for Data Intern jobs?

Cities near Reston, VA with the most Data Intern job openings:

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Adelphi, MD • On-site

$35/hr

Other

Posted 16 hours ago

Posted today


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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