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Clinical Data Analyst Jobs in Springfield, MO (NOW HIRING)

Sr. Cloud Data Engineer

Springfield, MO · On-site

$96K - $131K/yr

... and accelerate analytics insights across the enterprise. The primary extraction platform is ... Reporting domains include financial, operational, clinical, quality, and administrative metrics.

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Clinical Data Analyst information

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$15

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$54

How much do clinical data analyst jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for clinical data analyst in Springfield, MO is $32.44, according to ZipRecruiter salary data. Most workers in this role earn between $26.15 and $37.55 per hour, depending on experience, location, and employer.

What is a clinical data analyst?

A Clinical Data Analyst is a professional who manages and analyzes healthcare data to support clinical research and improve patient outcomes. They collect, process, and ensure the accuracy of medical data from clinical trials or healthcare systems. Their work helps identify trends, support decision-making, and ensure compliance with regulatory standards. Clinical Data Analysts often use specialized software to clean, validate, and report on large datasets. They play a critical role in maintaining the integrity and quality of clinical information.

What are the key skills and qualifications needed to thrive as a clinical data analyst, and why are they important?

To thrive as a Clinical Data Analyst, you need a solid background in data analysis, statistics, and healthcare concepts, often supported by a degree in health informatics, statistics, or a related field. Familiarity with data management tools, programming languages like SQL or Python, and statistical software such as SAS or R, as well as knowledge of clinical databases and regulations like HIPAA, is crucial. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret complex data and convey insights to multidisciplinary teams. These skills ensure accurate data analysis, support evidence-based decision-making, and maintain compliance within clinical research and healthcare environments.

What are some common challenges clinical data analysts face when ensuring data quality and integrity?

Clinical Data Analysts frequently encounter challenges such as inconsistent data entry, missing values, and discrepancies across various data sources. Ensuring data quality requires meticulous attention to detail and strong communication with clinical staff to resolve ambiguities or errors. Analysts also navigate evolving regulatory requirements and must stay current with best practices in data validation and cleaning to maintain compliance and reliability of clinical trial results. Collaborating closely with data managers, statisticians, and clinical teams is essential for addressing these challenges efficiently.

How much does a clinical data analyst make?

The average salary for a clinical data analyst in the United States is around $70,000 to $85,000 per year, depending on experience, education, and location. Salaries can vary based on the employer, certifications, and specific skills such as proficiency with electronic data capture systems and statistical tools.

What do clinical data analysts do?

Clinical data analysts collect, organize, and interpret healthcare data to support clinical research, patient care, and decision-making. They use statistical tools and software to identify trends, ensure data accuracy, and maintain compliance with privacy regulations. Strong analytical skills and knowledge of healthcare systems are essential for this role.

What is clinical data analytics?

Clinical data analytics involves collecting, processing, and analyzing healthcare data to improve patient outcomes, support clinical decision-making, and optimize healthcare operations. Clinical data analysts use tools like electronic health records (EHRs) and statistical software to interpret large datasets and generate actionable insights. Strong analytical skills and knowledge of healthcare regulations are essential for this role.

What are the most commonly searched types of Clinical Data Analyst jobs in Springfield, MO?

The most popular types of Clinical Data Analyst jobs in Springfield, MO are:

What are popular job titles related to Clinical Data Analyst jobs in Springfield, MO?

For Clinical Data Analyst jobs in Springfield, MO, the most frequently searched job titles are:

What job categories do people searching Clinical Data Analyst jobs in Springfield, MO look for?

The top searched job categories for Clinical Data Analyst jobs in Springfield, MO are:

What cities near Springfield, MO are hiring for Clinical Data Analyst jobs?

Cities near Springfield, MO with the most Clinical Data Analyst job openings:

Infographic showing various Clinical Data Analyst job openings in Springfield, MO as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $68,783 per year, or $33.1 per hour.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Springfield, MO • On-site

$35/hr

Other

Posted 21 hours ago

Posted today


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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