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Internship Ge Data Scientist Jobs in Virginia (NOW HIRING)

For many, it started with an internship. As an IBM intern, you won't just gain experience - you'll ... Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas ...

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For many, it started with an internship. As an IBM intern, you won't just gain experience - you'll ... Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas ...

For many, it started with an internship. As an IBM intern, you won't just gain experience - you'll ... Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas ...

For many, it started with an internship. As an IBM intern, you won't just gain experience - you'll ... Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas ...

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Internship Ge Data Scientist information

What types of projects can an intern expect to work on in a GE Data Scientist internship?

As a Data Scientist intern at GE, you can expect to work on real-world projects that involve analyzing large datasets, building predictive models, and developing data-driven solutions to support business decisions. Interns often collaborate with experienced data scientists and engineers, contributing to tasks such as data cleaning, feature engineering, and creating visualizations to communicate insights. The work environment is typically team-oriented, encouraging knowledge sharing and mentorship. These projects are designed to give interns practical experience and exposure to the latest tools and technologies used in the industry.

What are the key skills and qualifications needed to thrive as an internship GE Data Scientist?

To thrive as an Internship GE Data Scientist, you need a solid background in statistics, programming (usually Python or R), and data analysis, often supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools, machine learning libraries (like scikit-learn or TensorFlow), and experience using SQL databases are typically expected. Strong problem-solving skills, curiosity, and effective communication help interns stand out when interpreting data insights and collaborating with teams. These skills are crucial for transforming complex data into actionable business solutions and contributing meaningfully to GE’s data-driven projects.

What job categories do people searching Internship Ge Data Scientist jobs in Virginia look for?

The top searched job categories for Internship Ge Data Scientist jobs in Virginia are:

What cities in Virginia are hiring for Internship Ge Data Scientist jobs?

Cities in Virginia with the most Internship Ge Data Scientist job openings:

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Harrisonburg, 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

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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