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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 · On-site

$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 ...

Zimmer Biomet

$14.75 - $19.50/hr

What You Can Expect The Clinical Applications Intern is responsible for providing support to the ... Pursuing a bachelor's degree in Computer Science, Information Systems, Health Informatics, Data ...

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Zimmer Biomet

2025 Fall Intern, Clinical Applications

Flint, MI · On-site

$14.50 - $19.50/hr

What You Can Expect The Clinical Applications Intern is responsible for providing support to the ... Pursuing a bachelor's degree in Computer Science, Information Systems, Health Informatics, Data ...

Zimmer Biomet

$14.50 - $19.50/hr

What You Can Expect The Clinical Applications Intern is responsible for providing support to the ... Pursuing a bachelor's degree in Computer Science, Information Systems, Health Informatics, Data ...

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Clinical Data Science information

See Michigan salary details

$17

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$71

How much do clinical data science jobs pay per hour?

As of Jul 16, 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
Data Scientist

Data Scientist

Delta Dental of Michigan

Okemos, MI • Hybrid

Full-time

Medical, Dental

Re-posted 25 days ago

Job description

Job Title:

Data Scientist

Number of Positions:

1

Location:

Okemos, MI

Location Specifics:

Hybrid Position

Job Summary:

At Delta Dental of Michigan, Ohio, and Indiana we work to improve oral health through benefit plans, advocacy and community support, and we amplify this mission by investing in initiatives that build healthy, smart, vibrant communities. We are one of the largest dental plan administrators in the country, and are part of the Delta Dental Plans Association, which operates two of the largest dental networks in the nation.


At Delta Dental, we celebrate our All In culture. It's a mindset, feeling and attitude we wrap around all that we do - from taking charge of our careers, to helping colleagues and lending a hand in the community.

Position Description:

To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate and prepare data using appropriate programmatic and non-programmatic data transformation techniques, continuously learn new techniques and methods to improve data science outcomes.

Primary Job Responsibilities:

  • Develops and implements advanced statistical models using casual modelling, machine learning and optimization techniques.
  • Leads the team incorporating new Data Science techniques to enhance the organization's best practices.
  • Applies machine learning algorithms and predictive models to solve complex business challenges.
  • Designs and conducts data-driven experiments to validate findings and hypotheses.
  • Communicates insights and results to senior stakeholders and decision-makers.
  • Develops innovative approaches to data collection and validation, incorporating both structured and unstructured data sources.

Perform other related assigned duties as necessary to complete the Primary Job Responsibilities as described above.

#LI-Hybrid

Minimum Requirements:

Position requires a bachelor's degree in Computer Science, Mathematics, Statistics, or other quantitative field with a master's degree in Data Science, Business Analytics, Health Informatics, or related field preferred, and three years of experience working extensively with data. Knowledge of health or dental insurance, or of dental clinical practice preferred.

Position requires experience in statistical modeling methods, machine learning algorithms, supervised and unsupervised learning, and data mining techniques; proficiency with statistical software packages like SAS, R, or equivalent preferred; experience with programming languages, especially Python and SQL, or equivalent;
excellent communication skills and the ability to clearly and concisely communicate complex information to a variety of audiences, both technical and non-technical; the ability to collaborate in a team.

The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.

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