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Real World Data Jobs in Indiana (NOW HIRING)

$35/hr

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 ...

New

Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning ...

Data Analysis Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

Familiar with data analysis curricula and common challenges such as handling messy real-world data, choosing appropriate visualization types, and translating data findings into business ...

Data Science Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning ...

Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning ...

Familiar with data analysis curricula and common challenges such as handling messy real-world data, choosing appropriate visualization types, and translating data findings into business ...

Data Science Tutor

Bloomington, IN · Remote

$18 - $40/hr

Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning ...

Data Science Tutor

Valparaiso, IN · Remote

$18 - $40/hr

Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning ...

Familiar with data analysis curricula and common challenges such as handling messy real-world data, choosing appropriate visualization types, and translating data findings into business ...

Familiar with data analysis curricula and common challenges such as handling messy real-world data, choosing appropriate visualization types, and translating data findings into business ...

Data Analysis Tutor

Valparaiso, IN · Remote

$18 - $40/hr

Familiar with data analysis curricula and common challenges such as handling messy real-world data, choosing appropriate visualization types, and translating data findings into business ...

Showing results 21-40

Real World Data information

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.

What are popular job titles related to Real World Data jobs in Indiana?

For Real World Data jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Real World Data jobs in Indiana look for?

The top searched job categories for Real World Data jobs in Indiana are:

Infographic showing various Real World Data job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Indianapolis, IN • On-site

$35/hr

Other

Posted 2 days ago

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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