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Clinical Data Science Jobs in Michigan (NOW HIRING)

Delta Dental of Michigan

Data Scientist

Okemos, MI · Hybrid

To implement quantitative and predictive models, data science experiments using literate ... Knowledge of health or dental insurance, or of dental clinical practice preferred. Position ...

Delta Dental of Michigan

Data Scientist

Okemos, MI · On-site

To implement quantitative and predictive models, data science experiments using literate ... Knowledge of health or dental insurance, or of dental clinical practice preferred. Position ...

Pwc

Payer Healthcare Data Scientist, Manager

Detroit, MI

$99K - $232K/yr

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable ...

IQVIA

Medical Science Liaison

Detroit, MI

$175K - $200K/yr

Upon request, presents clinical data to healthcare professionals (scientific peer to peer) including physicians, academic institutions, researchers, and other health care professionals. * Provide ...

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$17

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$71

How much do clinical data science jobs pay per hour?

As of Jul 21, 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.
What are popular job titles related to Clinical Data Science jobs in Michigan? For Clinical Data Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Clinical Data Science jobs in Michigan look for? The top searched job categories for Clinical Data Science jobs in Michigan are:
Clinical Data Science jobs near you
Clinical Data Associate

Clinical Data Associate

Shoulder Innovations

Grand Rapids, MI • On-site

$70K - $85K/yr

Full-time

Posted 4 days ago

New

Job description

Shoulder Innovations is a medical device startup that is revolutionizing shoulder replacements. Led by a seasoned team with over a century of orthopedic expertise, we've developed a disruptive shoulder replacement system and secured substantial funding to drive rapid growth. (NYSE: SI).
We're seeking entrepreneurial talent to join us on this exciting journey. Our culture is built on:
  • People First: Authentically human.
  • One Team: Empowered and aligned.
  • Innovation: Bold, creative, and daring.
  • Growth Mindset: Always curious.

Ready to make an impact in orthopedics? Let's grow together!
We are seeking a Clinical Data Associate who is responsible for clinical data management activities across study lifecycle; from start-up through database lock and closeout. This role includes day-to-day data review, query management, and data reconciliation within the Electronic Data Capture (EDC) system, and maintains Power BI dashboards to monitor data cleaning progress, site performance, and study metrics.
Your responsibilities will include, but are not limited to the following:
Data Management
  • Perform comprehensive data management tasks including data review, query generation, and query resolution
  • Support all study phases: Start-up, Execution, Database Lock, and Close-out
  • Perform ongoing data reconciliation across all data streams (e.g., EDC, imaging, third-party vendors)
  • Review discrepancy/edit check output and validation listings per the Data
  • Management Plan (DMP)
  • Resolve answered queries and re-query where appropriate
  • Receive and reconcile imaging data
  • Manage eCRF freeze/lock activities
  • File documentation in the Trial Master File (TMF)
  • Support study closeout and archiving activities, including QC of subject/site CRFs

EDC & Systems
  • Serve as a proficient day-to-day user of the EDC system (e.g., Castor EDC, Rave, or equivalent), including form/field configuration awareness, user access, and data export
  • Generate reports directly from the EDC system to track data cleaning progress and outstanding queries
  • Perform DM quality review and other internal QC checks per applicable EDC systems
  • Support EDC-related testing (edit checks, validation rules, user acceptance testing) during study build and amendments

Reporting & Monitoring (Power BI)
  • Maintains Power BI dashboards and reports to track data cleaning status, query aging, site-level data quality metrics, and monitoring visit findings. Development experience is a plus.
  • Translate data management metrics (e.g., missing data, outstanding queries, protocol deviations) into clear visual reports for internal stakeholders
  • Maintain and troubleshoot existing Power Query/Power BI data pipelines feeding from EDC exports and other source systems
  • Ensure dashboard data accuracy through regular reconciliation against EDC source data

Project & Study Support
  • Attend study-related meetings and teleconferences
  • Track project progress and issue periodic status/metric reports
  • Assist in identifying achievement of milestones per study timelines
  • Participate in finalization and transfer of the clinical database and related documents to the sponsor
  • Participate in internal meetings and internal/external audits as required
  • Maintain awareness of contract scope and study-specific Clinical Data Management Plans

We believe to be successful as a Clinical Data Associate, you will have the following:
  • Bachelor's degree in a health, science, or related discipline, or equivalent experience in clinical research
  • Clinical data associate/management experience at a CRO, pharma, medical device, or biotech company
  • Hands-on experience with EDC systems required (Castor EDC, Rave, Inform, or equivalent)
  • Demonstrated proficiency managing reports/dashboards in Power BI (Power Query/M language experience a plus)
  • Knowledge of current industry standards (e.g., GCP, ICH, CDISC/CDASH)
  • Proficiency with Microsoft Office (Excel, Word); strong Excel skills required
  • Experience working in cross-functional, multi-site clinical trial teams

If you are looking to further your career in a pioneering and evolving industry, apply today for our Clinical Data Associate position. We value and appreciate our employees and will support you with great company culture, opportunities for professional growth, competitive wages, and benefits. To learn more about us, visit us online at https://shoulderinnovations.com.

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