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Clinical Data Science Jobs in Michigan (NOW HIRING)

MMS is a award-winning, data-focused clinical research organization (CRO). We pride ourselves on ... scientific approach to complex trial data and regulatory submission challenges. With a global ...

MMS is a award-winning, data-focused clinical research organization (CRO). We pride ourselves on ... scientific approach to complex trial data and regulatory submission challenges. With a global ...

... data science, and data governance. This role is accountable for strategy, business planning ... Partner with business, clinical, and operational stakeholders to define desired outcomes, shape ...

In close partnership with scientific, clinical, and regulatory stakeholders, this role will steward a modern R&D data ecosystem that spans data governance, FAIR data practices, advanced analytics, AI ...

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Clinical Data Science information

See Michigan salary details

$17

$49

$71

How much do clinical data science jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for clinical data science in Michigan is $49.83, according to ZipRecruiter salary data. Most workers in this role earn between $39.38 and $59.28 per hour, depending on experience, location, and employer.

Can data scientists make $300k?

Clinical data scientists can potentially earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and statistical analysis, and work in high-paying industries like pharmaceuticals or biotech. Salaries vary based on location, education, and the complexity of projects handled.

What are the key skills and qualifications needed to thrive as a Clinical Data Scientist, and why are they important?

To thrive as a Clinical Data Scientist, you need a solid background in statistics, data analysis, and life sciences, often supported by a degree in biostatistics, computer science, or a related field. Familiarity with programming languages like Python or R, clinical trial data management systems, and knowledge of regulatory requirements such as GCP and CDISC standards are essential. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with clinical and research teams. These competencies are crucial for ensuring data integrity, regulatory compliance, and valuable insights that drive evidence-based healthcare decisions.

What are the typical collaborative interactions between Clinical Data Scientists and other departments in a healthcare or pharmaceutical organization?

Clinical Data Scientists regularly collaborate with clinical research associates, statisticians, data managers, and regulatory affairs teams. These interactions are essential for ensuring high-quality data collection, analysis, and interpretation throughout clinical trials. You may participate in cross-functional meetings, contribute to protocol development, and help design data management strategies that comply with regulatory standards. Effective communication and teamwork are important skills, as much of the role involves translating technical findings into actionable insights for non-technical stakeholders.

What is clinical data science?

Clinical data science is a field that focuses on collecting, analyzing, and interpreting data from clinical trials and healthcare settings to improve patient outcomes and advance medical research. Professionals in this area use statistical methods, programming, and domain knowledge to ensure the quality and integrity of clinical data. Their work supports evidence-based decision-making in medicine and helps bring new therapies to market safely and efficiently.

Is 40 too late for data science?

Clinical Data Science is a field that values skills and experience over age; many professionals transition into data science later in their careers. Gaining proficiency in programming languages like Python or R, along with understanding healthcare data, can enable a successful career change regardless of age. Continuous learning and relevant certifications can also enhance job prospects at any age.

What is the highest paying job in data science?

In data science, senior roles such as Lead Data Scientist, Machine Learning Engineer, or Data Science Director tend to have the highest salaries, often exceeding $150,000 annually. These positions typically require advanced skills in programming, statistical analysis, and experience with big data tools, along with leadership responsibilities.

What is the difference between Clinical Data Science vs Data Analyst?

AspectClinical Data ScienceData Analyst
Required CredentialsDegree in Data Science, Biostatistics, or related field; knowledge of healthcare dataDegree in Statistics, Mathematics, or related field; proficiency in data tools
Work EnvironmentHealthcare settings, research institutions, pharmaceutical companiesBusiness, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed in clinical trials, healthcare research, drug developmentUsed across various industries for business insights and reporting

Clinical Data Science focuses on analyzing healthcare and clinical trial data to support medical research and drug development, often requiring specialized healthcare knowledge. Data Analysts handle a broader range of data analysis tasks across industries, emphasizing business insights. While both roles involve data manipulation and statistical skills, Clinical Data Scientists typically work within healthcare settings on complex clinical data, whereas Data Analysts serve diverse sectors with general data reporting needs.

How much do clinical data scientists make?

Clinical data scientists in the US typically earn between $80,000 and $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in machine learning and programming may earn higher salaries, often exceeding $150,000. Compensation also varies based on the industry sector and the size of the organization.
2025 Fall Intern, Clinical Applications

2025 Fall Intern, Clinical Applications

Zimmer Biomet

Kalamazoo, MI • On-site

$14.25 - $19/hr

Other

Re-posted 28 days ago


Zimmer Biomet rating

7.7

Company rating: 7.7 out of 10

Based on 96 frontline employees who took The Breakroom Quiz

198th of 430 rated machine equipment manufacturers


Job description

At Zimmer Biomet, we believe in pushing the boundaries of innovation and driving our mission forward. As a global medical technology leader for nearly 100 years, a patient’s mobility is enhanced by a Zimmer Biomet product or technology every 8 seconds.  

As a Zimmer Biomet team member, you will share in our commitment to providing mobility and renewed life to people around the world. To support our talent team, we focus on development opportunities, robust employee resource groups (ERGs), a flexible working environment, location specific competitive total rewards, wellness incentives and a culture of recognition and performance awards.  We are committed to creating an environment where every team member feels included, respected, empowered and recognised.

What You Can Expect

The Clinical Applications Intern is responsible for providing support to the Biostatistics & Clinical Data Management (BCDM) department in the development and maintenance of software used in clinical research, primarily the Clinical Trial Management System (CTMS). 

How You'll Create Impact
  • Assist in testing and maintaining clinical software applications under the guidance of experienced developers and analysts.
  • Support the documentation of technical processes, user guides, and validation protocols.
  • Participate in requirements gathering sessions with stakeholders to better understand business and user needs.
  • Help monitor and track system issues, assisting in troubleshooting with supervision.
  • Perform basic data checks and assist with data validation efforts to ensure data integrity.
  • Observe and support user training sessions and help prepare training materials as needed.
What Makes You Stand Out
  • Strong written and verbal communication skills.
  • Ability to manage time effectively and handle multiple tasks or assignments under supervision.
  • Ability to work collaboratively as part of a team and communicate effectively with both technical and non-technical stakeholders.
  • Detail-oriented mindset with the ability to follow documented procedures and best practices.
  • Curiosity and willingness to learn about clinical applications and how technology supports clinical trials and research.
  • Proficiency in Microsoft Office tools, especially Excel, Word, and PowerPoint.
  • Exposure to or coursework in programming languages such as Java, JavaScript, SQL, Python, or similar.
  • Basic understanding of relational databases and familiarity with writing or reading simple SQL queries is a plus.
  • Interest in web development and knowledge of HTML and CSS, or UX/UI is a plus.
Your Background
  • Must be actively enrolled in an academic program for the entire duration of the assignment
  • Must be available to work full-time (40 hours/week) throughout the co-op session
  • Must be authorized to work in the U.S. without requiring employer sponsorship
  • Pursuing a bachelor’s degree in Computer Science, Information Systems, Health Informatics, Data Science, or related field.
  • A minimum GPA of 3.0 is strongly preferred
Travel Expectations
  • Up to 5%

EOE/M/F/Vet/Disability


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About Zimmer Biomet

Sourced by ZipRecruiter

Zimmer Biomet is a global medical technology leader. Our team members are part of a company with a heritage of leadership, a focus on shaping the future, and a mission dedicated to alleviating pain and improving the quality of life for people around the world.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Warsaw, IN, US

Year founded

1927

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