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Associate Real World Evidence Jobs in Kentucky (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

$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

$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

$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

$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

$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

... real-world evidence, and patient-reported outcomes strategies to support the upcoming First-Line ... Associate Director * Strategic Leadership & Planning: * Co-create and lead the comprehensive ...

... real-world evidence, and patient-reported outcomes strategies to support the upcoming First-Line ... Associate Director * Strategic Leadership & Planning: * Co-create and lead the comprehensive ...

Showing results 21-40

Associate Real World Evidence information

What is an associate real world evidence?

An Associate Real World Evidence (RWE) professional supports the design, execution, and analysis of studies that use real-world data—such as electronic health records, insurance claims, and patient registries—to generate insights about healthcare outcomes, treatment effectiveness, and patient populations. These professionals typically work in pharmaceutical companies, research organizations, or healthcare consultancies. Their work helps guide clinical development, regulatory decisions, and health policy by providing evidence beyond traditional clinical trials. Associates often assist with data collection, statistical analysis, literature reviews, and report writing under the direction of more senior RWE scientists.

How does an associate real world evidence typically collaborate with cross-functional teams in pharmaceutical research?

As an Associate Real World Evidence (RWE) professional, you will frequently collaborate with colleagues from biostatistics, epidemiology, medical affairs, and regulatory affairs to design and execute studies using real-world data. Your role often involves translating scientific objectives into actionable study protocols, ensuring data integrity, and communicating findings to both technical and non-technical stakeholders. Effective teamwork and clear communication are crucial, as you'll contribute insights that help inform product development, regulatory submissions, and market access strategies.

What are the key skills and qualifications needed to thrive as an associate real world evidence, and why are they important?

To thrive as an Associate Real World Evidence, a strong background in epidemiology, biostatistics, or related health sciences with at least a bachelor’s or master’s degree is essential. Familiarity with statistical analysis software such as SAS or R, database management systems, and experience with healthcare or claims data are typically required. Excellent analytical thinking, attention to detail, and strong communication skills help translate complex data into actionable insights. These skills are vital for generating credible, data-driven evidence that informs healthcare decisions and supports regulatory submissions.

What is the difference between Associate Real World Evidence vs Clinical Data Analyst?

AspectAssociate Real World EvidenceClinical Data Analyst
Required CredentialsBachelor's degree in life sciences, healthcare, or related field; knowledge of RWE conceptsBachelor's degree in health informatics, statistics, or related field; proficiency in data analysis tools
Work EnvironmentPharmaceutical or healthcare companies, research organizationsHospitals, research institutions, healthcare analytics firms
Employer & Industry UsageUsed in pharmaceutical R&D, post-market studies, health outcomes researchUsed in clinical research, data management, and healthcare analytics

The Associate Real World Evidence role focuses on analyzing real-world data to support healthcare decisions, often within pharmaceutical companies. In contrast, Clinical Data Analysts primarily handle clinical trial data and statistical analysis. While both roles require strong analytical skills and related credentials, their focus areas and work environments differ, with RWE roles emphasizing observational data and post-market insights.

What are the most commonly searched types of Real World Evidence jobs in Kentucky?

The most popular types of Real World Evidence jobs in Kentucky are:

What are popular job titles related to Associate Real World Evidence jobs in Kentucky?

For Associate Real World Evidence jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Associate Real World Evidence jobs in Kentucky look for?

The top searched job categories for Associate Real World Evidence jobs in Kentucky are:

What cities in Kentucky are hiring for Associate Real World Evidence jobs?

Cities in Kentucky with the most Associate Real World Evidence job openings:

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Lexington, KY • On-site, Remote

$35/hr

Temporary, Internship

Posted 2 days ago

New


Key responsibilities

  • Support the design and execution of observational studies using claims and other real-world data sources.

  • Assist in data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques.

  • Build and refine statistical models such as propensity matching and survival analysis under mentorship.


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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