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Senior Clinical Data Analyst Jobs (NOW HIRING)

UAB NOVA RENT

CLINICAL DATA ANALYST

Birmingham, AL · On-site

$43K - $50K/yr

This position will work in clinical research analyzing and validating data and creating graphical ... Individuals may report concerns or questions to UAB's Assistant Vice President and Senior Title IX ...

CryoLife

Sr. Clinical Data Manager

Kennesaw, GA · On-site

The Sr. Clinical Data Manager is responsible for data management operations and for the ... Advanced proficiency in data visualization tools and data analytics platforms (such as Python and ...

Paradigminfotech

Clinical Data Analyst

Edison, NJ · On-site

NET Sound analytical, organizational and planning skills and the ability to achieve multiple team ... Sr. Lead / IT Recruiter Paradigm Infotech Call : 443-640-0099 8830 Stanford Blvd, Suite 314 ...

Sumitomopharma

OR · On-site

$84K - $106K/yr

The Senior Clinical Data Associate (Sr. CDA) works in close partnership with Lead/Clinical Data ... Support interim analysis and database lock activities, including focused data cleaning and ...

Sumitomo Pharma

Senior Clinical Data Associate

$84K - $106K/yr

The Senior Clinical Data Associate (Sr. CDA) works in close partnership with Lead/Clinical Data ... Support interim analysis and database lock activities, including focused data cleaning and ...

Ascension

Clinical Data Analyst

Sand Springs, OK · Remote

... data querying, analysis, and manipulation. * Exceptional attention to detail, strong verbal and written communication skills to effectively collaborate with clinical and non-clinical staff, and the ...

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How much do senior clinical data analyst jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for senior clinical data analyst in the United States is $42.60, according to ZipRecruiter salary data. Most workers in this role earn between $34.62 and $48.08 per hour, depending on experience, location, and employer.

What is the highest salary for a senior data analyst?

The highest salary for a senior clinical data analyst can reach over $100,000 annually, especially for those with extensive experience, advanced skills in data management and statistical software, and certifications. Salaries vary based on industry, location, and organization size, with some senior analysts earning significantly more in high-demand markets.

Is 40 too late for data science?

Age is not a barrier to becoming a Senior Clinical Data Analyst or entering data science, as skills and experience are more important. Many professionals successfully transition into data roles later in their careers by acquiring relevant knowledge in programming, statistics, and tools like SQL or Python. Continuous learning and practical experience can help overcome age-related concerns in the field.

Is AI replacing data analysts?

AI is transforming the role of senior clinical data analysts by automating routine data processing and analysis tasks, allowing analysts to focus on interpretation and strategic decision-making. While AI tools can enhance efficiency, human expertise remains essential for complex analysis, validation, and ensuring data quality in clinical research environments.

How does a Senior Clinical Data Analyst typically collaborate with cross-functional teams during a clinical trial?

As a Senior Clinical Data Analyst, you will regularly interact with clinical operations, biostatistics, and data management teams to ensure data integrity and regulatory compliance throughout the clinical trial process. You'll participate in meetings to clarify data requirements, resolve discrepancies, and support the design of data collection tools. Close collaboration is crucial for timely database lock and for addressing data queries, making strong communication skills and a proactive approach essential for success in this role.

What does a Senior Clinical Data Analyst do?

A Senior Clinical Data Analyst is responsible for managing, analyzing, and interpreting clinical trial data to ensure its accuracy, integrity, and compliance with regulatory standards. They design data collection systems, oversee data quality checks, and collaborate with clinical teams to generate meaningful insights from clinical research. Their work supports decision-making in drug development and helps ensure that clinical studies produce reliable and valid results. Senior analysts often mentor junior staff and play a key role in process improvement within clinical data management.

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

To thrive as a Senior Clinical Data Analyst, you need expertise in data management, biostatistics, and a strong understanding of clinical research protocols, often backed by a degree in life sciences, statistics, or a related field. Familiarity with statistical software (such as SAS, R, or SQL), electronic data capture systems, and industry regulations like CDISC standards is essential. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex datasets and collaborate with multidisciplinary teams. These skills ensure the integrity and accuracy of clinical trial data, supporting evidence-based decisions and regulatory compliance.

How much do clinical data analysts make?

Clinical data analysts typically earn a median salary ranging from $65,000 to $85,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in data management and statistical software can earn higher salaries, often exceeding $100,000 per year.
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Senior Clinical Data Analyst jobs near you
Infographic showing various Senior Clinical Data Analyst job openings in the United States as of June 2026, with employment types broken down into 69% Full Time, 20% Part Time, and 11% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $88,617 per year, or $42.6 per hour.
Senior Clinical Data Research Engineer

Senior Clinical Data Research Engineer

Cytovale

South San Francisco, CA • Remote

$150K - $175K/yr

Full-time

Posted 17 days ago

Job description

The Senior Clinical Data Research Engineer will be an individual contributor in the Medical Affairs department. The role will encompass data analysis and curation from multiple large clinical datasets to inform internal reports, external presentations, manuscripts, and publications, and to inform future clinical trial design. 
This is a remote role.

Responsibilities:

  • Interpret clinical case reports and develop an understanding of clinical science of immune-mediated conditions, including sepsis, to inform study design and content of case report forms
  • Support the design, interpretation, reporting, and publication of clinical studies, including detailed participation in clinical endpoint design and process, supporting EDC builds, and study execution.
  • Perform data analysis and develop data-driven models for disease and outcome trends, value proposition, and assay clinical utility
  • Support quality improvement activities for customers by building systems and tools for post-implementation data analysis
  • Utilize data to track the performance and effectiveness of the IntelliSep solution in improving clinical outcomes, operational efficiency, and financial performance, and provide insights into customer-related metrics and the potential impact on patient outcomes and hospital reimbursement
  • Collaborate with cross-functional teams to gather data and gain insights into current-state workflows and performance related to sepsis management and clinical workflows within the emergency department
  • Appropriately apply visualization best practices and data storytelling techniques and deliver a clear and concise presentation of findings tailored to the audience
  • Develop documentation and methodologies for analyses and deliverables
  • Develop statistical models using clinical and biological data to inform clinical trial design
  • Write statistical analysis plans, including statistical methodology and programming procedure
  • Contribute analysis and graphs to educational and marketing materials, company reports, and scientific publications

Qualifications: 

  • Bachelor’s degree required in biomedical engineering, bioengineering, or a related field; Master's or PhD preferred, particularly in a quantitative or life sciences discipline
  • 5+ years of medical device related experience working with clinical data and complex diseases
  • Proficiency in coding for data analysis using Python, including data science packages and tools (pandas, numpy, matplotlib, scikit-learn) required. Experience with SQL and relational databases required. Familiarity with AI/ML tools and large language model (LLM) applications a plus
  • Strong analytical skills with the ability to interpret and present data effectively
  • Experience with designing research studies and interpreting data
  • Knowledge of statistics at the level needed for scientific publications (t-tests, survival analysis, regressions, etc.) is required; a deep background in statistics is a plus
  • A strong desire to work in a small, fast-paced environment of a late-stage startup
  • Candidate must be able to function as an individual contributor with minimal direct oversight
  • A passion for understanding complex issues with a data-driven approach, experimenting, and iterating on different ways to solve a problem.

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