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$81

How much do clinical data science jobs pay per hour?

As of Sep 2, 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.

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.

What are the key skills and qualifications needed to thrive as a clinical data scientist?

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 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.

What do clinical data scientists do?

Clinical data scientists analyze healthcare and clinical trial data to identify patterns, support decision-making, and improve patient outcomes. They use statistical methods, programming skills, and tools like R or Python to manage and interpret large datasets in a regulated environment. Their work often involves collaboration with medical professionals and adherence to data privacy standards.
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Clinical Data Science jobs near you
Infographic showing various Clinical Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $118,909 per year, or $57.2 per hour.

Head of Clinical Data Science

Takeda Pharmaceutical Company Limited

Boston, MA • On-site

Full-time

Posted 6 days ago

Takeda Pharmaceuticals rating

7.3

Company rating: 7.3 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

70th of 86 rated pharmaceutical

Job description

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.
Job Description
About the role:
The Head of Clinical Data Science is a senior enterprise leader responsible for transforming Takeda's global Clinical Data Science capabilities across Drug Development. Reporting to the Head of DQS, this role will move the function beyond biostatistics and statistical programming to a more integrated, innovation-led model.
The leader will set the vision, strategy, and operating model to modernize study design, accelerate data-driven decision-making, improve regulatory readiness, and strengthen lifecycle evidence delivery, with a strong focus on execution of Takeda's late-stage portfolio. In parallel, the role will help build the capabilities and ways of working required to enable Takeda's early-stage portfolio, ensuring the organization is ready to apply modern clinical data science approaches earlier in development.
Through bold people leadership, enterprise mindset, and strategic collaboration across DQS, R&D, Global Medical, and external partners, the role will strengthen Takeda's long-term competitive advantage and position the company at the forefront of clinical data science innovation.
How you will contribute:
  • Serve as a member of the DQS Leadership Team, influencing future strategy and implementation of a new operation model to deliver sustainable value to Takeda R&D .

  • Build and lead a high-performing global organization, including talent development, succession planning, organizational design, and capability building across both TA-facing and platform teams.

  • Define and lead the strategy for clinical data science, including biostatistics and programming, in alignment with R&D and portfolio priorities

  • Lead a matrixed organization comprising Therapeutic Area Heads responsible for embedded quantitative support to development programs, and cross-TA platform leaders responsible for enterprise standards and innovation, automation, and shared capabilities.

  • Ensure high-quality statistical leadership across development, including study design, analysis strategy, interpretation of results, evidence planning and generation, and regulatory support from early development through registration and lifecycle management with a strong link to Global Medical priorities.

  • Oversee a global modern programming capability that delivers timely, compliant, and inspection-ready outputs for studies, submissions, pooled analyses, and integrated summaries.

  • Establish and scale enterprise platforms for data science, including advanced analytics, simulation, visualization, predictive methods, and decision support frameworks that improve trial, program, asset, and portfolio decisions.

  • Drive consistency, quality, and efficiency across Therapeutic Areas through common governance, processes, data standards, reusable assets, and fit-for-purpose analytical tools.

  • Ensure all clinical data science activities are conducted in accordance with applicable regulatory requirements, internal quality expectations, and industry standards.

  • Serve as a strategic partner within DQS and across senior leaders within R&D and beyond (Global Medical).

  • Represent the function in governance forums and provide quantitative leadership to major development, submission, and portfolio decisions.

  • Enables team to perform at their highest level by setting ambitious goals and direction and providing timely feedback. Provides leadership, expertise, and guidance to management and other departments regarding clinical drug development, and specifically clinical data science.

  • Responsible for managing the operational budget globally.

Preferred Qualifications:
  • Advanced degree in Biostatistics, Statistics, Mathematics, Data Science, or another relevant quantitative discipline; PhD preferred.

  • 15+ years of significant leadership experience in clinical data science, including biostatistics, data engineering and programming within the pharmaceutical or biotechnology industry.

  • Demonstrated success leading global, matrixed organizations with both business-facing and enterprise platform responsibilities.

  • Deep experience across drug development, including clinical trial methodology, regulatory submissions, and health authority interactions.

  • Strong knowledge of global regulatory expectations, data standards, analytical methods, and quantitative approaches used in development decision-making.

  • Proven ability to influence senior stakeholders and translate complex quantitative topics into clear, strategic recommendations.

  • Exceptional communication, influencing, and leadership skills, with the ability to operate credibly at executive and board levels.

  • Proven track record of leading and driving business process transformation and organizational culture change as well as delivering projects with complex business deliverables

  • Track record of successful leadership, management, and development of large, multi-disciplinary globally dispersed teams. Strong judge of talent with the ability to make tough talent decisions.

Takeda Compensation and Benefits Summary
We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.
For Location:
Boston, MA
U.S. Base Salary Range:
$352,000.00 - $484,000.00
The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.
For information about our benefits, please click here.
EEO Statement
Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.
Locations
Boston, MA
Worker Type
Employee
Worker Sub-Type
Regular
Time Type
Full time
Job Exempt
Yes
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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