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Real World Data Jobs in Virginia (NOW HIRING)

The tools and technologies we develop have real world impact and US Government analysts and operators use them to enable intelligence activities around the globe. The Role As a Senior Data Scientist ...

Senior Data Scientist

Arlington, VA · On-site

$140K - $190K/yr

The tools and technologies we develop have real world impact and US Government analysts and operators use them to enable intelligence activities around the globe. The Role As a Senior Data Scientist ...

Senior Data Scientist

Arlington, VA · On-site

$140K - $190K/yr

The tools and technologies we develop have real world impact and US Government analysts and operators use them to enable intelligence activities around the globe. The Role As a Senior Data Scientist ...

C++ Developer

Herndon, VA · On-site

$120 - $180/hr

Test with real-world data, contribute across the full lifecycle (engineering, development, integration, deployment, and sustainment), and incorporate new technologies to improve performance.

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Showing results 1-20

Real World Data information

See Virginia salary details

$21.4K

$116.6K

$192.6K

How much do real world data jobs pay per year?

As of Sep 3, 2026, the average yearly pay for real world data in Virginia is $116,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,821.00 and $145,879.00 per year, depending on experience, location, and employer.

What is a real world data?

A Real World Data (RWD) job involves collecting, analyzing, and interpreting healthcare data generated outside of traditional clinical trials, such as electronic health records, claims data, patient registries, and wearable device data. Professionals in this field work to generate insights that can support drug development, regulatory decisions, and healthcare policy. These roles require expertise in data management, biostatistics, epidemiology, or health informatics. RWD jobs are critical for understanding real-world patient outcomes and improving healthcare interventions.

What does a typical workday look like for someone in a real world data position?

In a Real World Data role, your typical day might include accessing and preparing large healthcare datasets, performing statistical analyses, and collaborating with clinical, regulatory, and data science colleagues. You may also spend time developing reports or visualizations to communicate findings to stakeholders, as well as ensuring data quality and compliance with privacy standards. Teamwork is vital, as projects often involve close collaboration with cross-functional teams in research, product development, or regulatory affairs. The work can be both independent and highly collaborative, offering a dynamic and engaging environment for those who enjoy tackling complex challenges.

What are the key skills and qualifications needed to thrive in the real world data position, and why are they important?

To thrive in a Real World Data role, you need expertise in data analysis, statistics, and a background in healthcare, epidemiology, or life sciences. Familiarity with data management tools like SQL, SAS, R, or Python, as well as knowledge of regulatory guidelines such as HIPAA or GDPR, is typically required. Strong attention to detail, critical thinking, and effective communication are essential soft skills that distinguish top candidates. These competencies are crucial for accurately interpreting complex health data, ensuring compliance, and effectively collaborating with multidisciplinary teams to generate actionable insights.

Infographic showing various Real World Data job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $116,596 per year, or $56.1 per hour.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Williamsburg, 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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