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Medical Evidence Generation Jobs in Michigan (NOW HIRING)

... evidence generation (Clinical studies, research papers, etc.) Partner with Product Marketing to ... medical device experience preferred New product development or marketing experience preferred ...

... for evidence generation (Clinical studies, research papers, etc.) • Partner with Product ... • 3+ years medical device experience preferred • New product development or marketing ...

... evidence needs. * Support fieldbased research collaborations and HEOR data generation. * Serve as ... Pharmacy and medical directors at regional payers, providing clinical and economic insights that ...

... evidence needs. * Support field-based research collaborations and HEOR data generation. * Serve as ... Pharmacy and medical directors at regional payers, providing clinical and economic insights that ...

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Medical Evidence Generation information

What is medical evidence generation?

Medical evidence generation refers to the process of collecting, analyzing, and interpreting clinical and real-world data to support the safety, efficacy, and value of medical treatments or interventions. This involves conducting clinical trials, observational studies, and using sources like electronic health records or patient registries. The evidence generated is crucial for regulatory submissions, health technology assessments, and informing healthcare providers and payers. The ultimate goal is to ensure that healthcare decisions are based on robust and reliable data.

What are the key skills and qualifications needed to thrive in medical evidence generation?

To thrive in Medical Evidence Generation, you need a strong background in clinical research, data analysis, and scientific writing, typically supported by a degree in life sciences, pharmacy, or medicine. Familiarity with statistical software (such as SAS or R), evidence synthesis tools, and regulatory guidelines (like GCP or ICH) is often required. Excellent communication, project management, and critical thinking skills help you collaborate with cross-functional teams and effectively disseminate findings. These capabilities ensure the generation of credible, high-quality evidence that informs clinical decisions and regulatory submissions.

What are some typical challenges faced in medical evidence generation, and how can candidates prepare for them?

Professionals in Medical Evidence Generation often encounter challenges such as managing complex datasets, aligning evidence strategies with regulatory requirements, and collaborating across multidisciplinary teams. To prepare, candidates should build strong analytical skills, stay up-to-date with evolving regulatory standards, and develop effective communication abilities for working with clinicians, statisticians, and regulatory affairs. Familiarity with project management and the ability to adapt to shifting priorities are also valuable for success in this dynamic environment.

What is the difference between Medical Evidence Generation vs Medical Data Analysis?

AspectMedical Evidence GenerationMedical Data Analysis
CredentialsMedical degree, research trainingData science, statistics, healthcare background
Work EnvironmentClinical settings, research labsData centers, healthcare organizations
Industry UsageClinical research, regulatory submissionsData interpretation, reporting

Medical Evidence Generation focuses on creating robust clinical data to support medical decisions and regulatory approval, often involving clinical trials and research. Medical Data Analysis involves interpreting healthcare data to derive insights, improve patient outcomes, and inform decision-making. While both roles require understanding of healthcare data, Evidence Generation emphasizes producing new evidence, whereas Data Analysis centers on analyzing existing data.

What cities in Michigan are hiring for Medical Evidence Generation jobs?

Cities in Michigan with the most Medical Evidence Generation job openings:

Infographic showing various Medical Evidence Generation job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Berrien Springs, MI • 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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