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Entry Level Clinical Data Analyst Jobs in Michigan

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data * Prepare literature review ...

New

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data * Prepare literature review ...

New

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data * Prepare literature review ...

New

AI, Analytics, Automation & Data Services - focused on helping organizations modernize data ... entry-level positions. You'll receive a status update email for each application, so be sure to ...

Research Assistant

Royal Oak, MI · On-site

$18 - $24.75/hr

Learn and use software tools for MRI data analysis. Data entry and maintaining research data base. Consenting, scheduling, and accompanying patients for research MRI studies. Retrieving clinical data ...

Showing results 41-60

Entry Level Clinical Data Analyst information

See Michigan salary details

$15

$31

$53

How much do entry level clinical data analyst jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for entry level clinical data analyst in Michigan is $31.69, according to ZipRecruiter salary data. Most workers in this role earn between $25.58 and $36.68 per hour, depending on experience, location, and employer.

What is an entry level clinical data analyst?

An Entry Level Clinical Data Analyst is responsible for collecting, cleaning, and analyzing clinical data to support healthcare research and decision-making. They work with databases, statistical tools, and reporting software to ensure data accuracy and integrity. Their role often includes identifying trends, generating reports, and assisting in regulatory compliance. This position requires analytical skills, attention to detail, and knowledge of clinical terminology and data management systems. It is a great starting point for individuals interested in healthcare analytics and clinical research.

What are the typical daily responsibilities of an entry level clinical data analyst?

As an Entry Level Clinical Data Analyst, your daily responsibilities typically include reviewing and cleaning clinical trial data, performing data entry or validation tasks, generating standard reports, and assisting with database testing and documentation. You may work closely with senior data analysts, clinical research coordinators, and project managers to ensure data accuracy and compliance with regulatory standards. Collaboration and communication are key, as you’ll often participate in team meetings to discuss data queries or project updates. This hands-on experience helps build a strong foundation for future growth in the clinical data management field.

What are the key skills and qualifications needed to thrive as an entry level clinical data analyst?

Entry Level Clinical Data Analysts need foundational knowledge in statistics, data management, and healthcare terminology, usually supported by a degree in a related field such as life sciences, health informatics, or mathematics. Familiarity with data analysis software like Microsoft Excel, SAS, or SQL, and exposure to clinical trial management systems or electronic data capture (EDC) platforms are beneficial. Strong attention to detail, problem-solving abilities, and effective communication skills help individuals excel in this role. These competencies are crucial for ensuring accurate and reliable data collection, analysis, and reporting that directly support clinical research outcomes.

Can I become an entry level clinical data analyst with no experience?

Entry level clinical data analysts typically need a bachelor's degree in a related field such as health informatics, biology, or statistics. While prior experience is not always required, familiarity with data management tools like Excel or SQL and understanding of clinical research processes can improve job prospects. Entry-level roles often provide on-the-job training for specific software and procedures.

What do you need to be an entry level clinical data analyst?

To become an entry-level clinical data analyst, candidates typically need a bachelor's degree in health informatics, biology, statistics, or a related field. Skills in data management, proficiency with tools like Excel and SQL, and understanding of clinical trial processes are important. Some positions may also require familiarity with electronic data capture systems and basic knowledge of regulatory standards such as HIPAA.

What are the most commonly searched types of Clinical Data Analyst jobs in Michigan?

The most popular types of Clinical Data Analyst jobs in Michigan are:

What cities in Michigan are hiring for Entry Level Clinical Data Analyst jobs?

Cities in Michigan with the most Entry Level Clinical Data Analyst job openings:

Infographic showing various Entry Level Clinical Data Analyst job openings in Michigan as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $65,914 per year, or $31.7 per hour.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Detroit, MI • On-site, Remote

$35/hr

Temporary, Internship

Posted 4 days ago


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

134th of 499 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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