ZipRecruiter

Log In

1

Clinical Data Science Jobs (NOW HIRING)

Baylor Scott & White Health

$90K/yr

Translate complex data science and machine learning concepts into clear, actionable insights for clinicians, researchers, and non-technical stakeholders. Present data-driven findings to support ...

CVS Health

Data Scientist - Clinical AI

New York, NY

The A&BC organization is looking to grow its Clinical Data Science & AI team. Join us as we embark on an exciting journey to drive a transformational shift in how CVS Health leverages clinical data ...

Novartis

Clinical Data Engineering Lead

Cambridge, MA · On-site

Novartis Biomedical Research is searching for a visionary Associate Director to lead Clinical Data Engineering within their Oncology Data Science team. In this pivotal role, you'll be responsible for ...

DiaSorin

Clinical Data Scientist

Austin, TX

Obsessed by Science. Entrepreneurial by Nature. United by Purpose. Diasorin is a global leader in ... Working closely with external Data Management contractors, Clinical Development, Clinical Affairs ...

DiaSorin

Clinical Data Scientist

Austin, TX · On-site

Obsessed by Science. Entrepreneurial by Nature. United by Purpose. Diasorin is a global leader in ... Working closely with external Data Management contractors, Clinical Development, Clinical Affairs ...

Waymark

OR

Make architectural trade-offs, drive alignment across data science, engineering, product, and clinical stakeholders, and mentor junior data scientists to raise the technical bar of the team. Minimum ...

next page

Showing results 1-20

All JobsClinical Data Science Jobs

Clinical Data Science information

See salary details

$19

$57

$81

How much do clinical data science jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for clinical data science in the United States is $57.17, according to ZipRecruiter salary data. Most workers in this role earn between $45.19 and $68.03 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.
More about Clinical Data Science jobs
What cities are hiring for Clinical Data Science jobs? Cities with the most Clinical Data Science job openings:
What states have the most Clinical Data Science jobs? States with the most job openings for Clinical Data Science jobs include:
What job categories do people searching Clinical Data Science jobs look for? The top searched job categories for Clinical Data Science jobs are:
Clinical Data Science jobs near you
Infographic showing various Clinical Data Science job openings in the United States as of July 2026, with employment types broken down into 2% As Needed, 73% Full Time, 17% Part Time, and 8% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $118,909 per year, or $57.2 per hour.
Clinical Data Scientist

Clinical Data Scientist

RedSail Technologies LLC

Spartanburg, SC • On-site

$130K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

Clinical Data Scientist
Job Summary
The RedSail Technologies Network Services Business Unit has the primary mission to create incremental value streams for RedSail through the development and activation of Clinical, Financial, & Operational Programs that leverage our uniquely integrated technology platforms as well as our associated reach within the targeted market segments. The Clinical Data Scientist, will participate in the making use of RedSail's data to evaluate and establish various impactful programs to accomplish and assist with the measurement of program effectiveness against the department objectives.
Key Duties
  • Data Collection: Gathering data from various sources, such as databases, APIs, web scraping, and more. This can involve collecting structured and unstructured data.
  • Data Cleaning: Preprocessing the collected data to handle missing values, remove duplicates, correct inconsistencies, and address outliers. This step ensures data quality and reliability.
  • Data Exploration (Exploratory Data Analysis, EDA): Analyzing the main characteristics of the data often through visualization and summary statistics. This helps in understanding data distributions, relationships between variables, and identifying patterns or anomalies.
  • Data Transformation: Modifying data into a suitable format for analysis, such as normalization, standardization, or creating new features (feature engineering).
  • Data Visualization: Creating visual representations of data, such as graphs, charts, and dashboards, to communicate findings effectively. Tools like Matplotlib, Seaborn, and Tableau are commonly used.
  • Statistical Analysis: Applying statistical methods to understand data distributions, test hypotheses, and infer relationships. This can include t-tests, chi-square tests, ANOVA, and regression analysis.
  • Data Communication: Presenting findings, insights, and recommendations to stakeholders through reports, presentations, and storytelling. Effective communication is crucial for decision-making.
  • Collaboration with Domain Experts: Working with professionals from various fields to ensure that the data science approach aligns with business goals and that the results are meaningful and actionable.
  • Keeping Up with Industry Trends: Continuously learning and adapting to new tools, technologies, and methodologies in data science to stay current and effective in the field.
  • Ethical Considerations and Compliance: Ensuring that data usage complies with ethical standards and legal regulations, such as data privacy laws (e.g., HIPAA)

Education/Training
  • Bachelor's degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree. Doctor of Pharmacy with data credentials or extensive data experience may substitute for formal education in Data Science.

Required Work Skills/Experience
  • Pharma/Pharmacy/Healthcare experience.
  • Experience programming with SQL scripting.
  • Experience with data analytics visualization tools such as PowerBI and Tableau.
  • Ability to transform complex data across multiple platforms into concise datasets.
  • Ability to visualize data in the most effective way possible for a given project or study.
  • Strong analytical and problem-solving skills; inquisitive.
  • Ability to work independently and with team members from different backgrounds and collaborative styles.
  • Excellent attention to detail with critical thinking skills.

Preferred Work Skills/Experience
  • A combination of both Doctor of Pharmacy and degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree (i.e. Pharmacist Data Scientist) strongly preferred.
  • 2 years of experience as a Data Analyst, Data Scientist or Data Engineer.
  • Experience with Pharma/Pharmacy transactions.
  • Experience programming with Python or Go Lang.

Discretionary Judgement
  • Uses independent judgment and discretion based upon the employee's experience in the position and knowledge of the products, equipment, and services.
  • Uses good judgment and possesses ethical work values.

Physical Demands/Working Conditions/General Employment
  • Moderate or high stress levels may be experienced in the job performance.
  • Position is performed in a general office environment, home office, or approved remote workspace where physical work includes, but is not limited to, sitting, standing, reaching, kneeling, bending, and lifting to 25 lbs.

Equipment
  • Daily use of Microsoft Teams (phone), computer, printer, and other routine office equipment.
  • Must have reliable and consistent internet access.

Safety to Self and Others
  • Little responsibility for the safety of others. Job is performed in an office setting where there are no hazardous materials or equipment.

Working Conditions/Hazards
  • Position is performed in an open office environment or approved remote work location.

Salary Range
  • $130,000-$160,000

Work Location
  • RedSail Office Hybrid

Benefits Include: PTO, 401k (5%) Match, Bonus Opportunities, Medical/Dental/Vision Insurance, Work-life balance, Health Clinic, Fitness Bonus and Professional Development.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

Apply