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Clinical Research Data Analyst Jobs (NOW HIRING)

... Analyst to support translational research programs focused on amyotrophic lateral sclerosis (ALS ... Integrate clinical, molecular, biospecimen, and longitudinal patient data into standardized ...

... Analyst to support translational research programs focused on amyotrophic lateral sclerosis (ALS ... Integrate clinical, molecular, biospecimen, and longitudinal patient data into standardized ...

Our first diagnostic is for PTSD and is entering clinical trials now, followed soon by additional ... This is an analysis-first role embedded with our data science and research personnel: you will ...

Our first diagnostic is for PTSD and is entering clinical trials now, followed soon by additional ... This is an analysis-first role embedded with our data science and research personnel: you will ...

Our first diagnostic is for PTSD and is entering clinical trials now, followed soon by additional ... This is an analysis-first role embedded with our data science and research personnel: you will ...

Research Data Analyst, Senior

Fort Worth, TX · On-site

$111K - $111K/yr

The Sr. Research Data Analyst is a critical member of the Research Informatics team, responsible for enabling compliant researcher access to clinical and research data while protecting patient ...

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Clinical Research Data Analyst information

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

As of Jul 15, 2026, the average hourly pay for clinical research data analyst in the United States is $36.36, according to ZipRecruiter salary data. Most workers in this role earn between $29.33 and $42.07 per hour, depending on experience, location, and employer.

What is the difference between Clinical Research Data Analyst vs Clinical Research Coordinator?

AspectClinical Research Data AnalystClinical Research Coordinator
CredentialsBachelor's degree in health, science, or related field; proficiency in data analysis toolsBachelor's degree in health, science, or related field; clinical research certifications often preferred
Work EnvironmentData-focused roles in research settings, analyzing and managing dataOperational roles in clinical sites, managing study logistics and patient coordination
Employer & IndustryPharmaceutical companies, research institutions, CROsHospitals, clinics, research sites, pharmaceutical companies
Search & Comparison IntentUnderstanding data analysis roles in clinical researchManaging clinical trial operations and patient interactions

The Clinical Research Data Analyst primarily focuses on analyzing and managing research data, while the Clinical Research Coordinator handles study logistics and patient coordination. Both roles are essential in clinical trials but differ in responsibilities and daily tasks.

How to become a clinical research data analyst?

To become a clinical research data analyst, typically a bachelor's degree in a related field such as biology, statistics, or health sciences is required. Gaining experience with data management tools like SAS, R, or SQL, and understanding clinical trial processes are important. Some roles may also require certification in clinical research or data analysis to enhance job prospects.

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

To thrive as a Clinical Research Data Analyst, a strong background in statistics, data management, and clinical research methodologies—often supported by a degree in a quantitative or health-related field—is essential. Familiarity with data analysis tools such as SAS, R, or Python, as well as experience with clinical trial management systems and regulatory standards, is typically required. Attention to detail, problem-solving, and effective communication are standout soft skills in this role. These skills ensure accurate data interpretation, regulatory compliance, and clear reporting of research findings critical to successful clinical studies.

What are some common challenges Clinical Research Data Analysts face when working with diverse clinical trial data?

Clinical Research Data Analysts often encounter challenges when standardizing and integrating data from multiple sources, such as different electronic health record systems or varying study protocols. Ensuring data accuracy, consistency, and compliance with regulatory standards can be complex, especially in multi-site or multinational trials. Additionally, analysts must frequently collaborate with clinical teams, statisticians, and IT professionals to resolve data discrepancies and implement robust data management solutions. Effective communication and adaptability are key to overcoming these challenges and ensuring high-quality research outcomes.

How much does a clinical data analyst make in the US?

The average salary for a clinical research data analyst in the US is around $70,000 to $85,000 per year, depending on experience, education, and location. Entry-level positions typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Knowledge of data management tools like SAS or SQL can also influence compensation.

Is 40 too late for data science?

For a Clinical Research Data Analyst, transitioning into data science at age 40 is feasible, especially with relevant skills in statistics, programming, and data management. Many professionals successfully switch careers later in life by gaining certifications, such as in Python or R, and building a portfolio of projects. Age is less a barrier than acquiring the necessary technical expertise and experience in data analysis tools and methodologies.

What does a clinical research data analyst do?

A clinical research data analyst is responsible for collecting, managing, and analyzing data from clinical trials to ensure accuracy and compliance. They use statistical tools and software to interpret data, prepare reports, and support decision-making in medical research. Strong attention to detail and knowledge of regulatory standards are essential for this role.
More about Clinical Research Data Analyst jobs
What cities are hiring for Clinical Research Data Analyst jobs? Cities with the most Clinical Research Data Analyst job openings:
What states have the most Clinical Research Data Analyst jobs? States with the most job openings for Clinical Research Data Analyst jobs include:
What job categories do people searching Clinical Research Data Analyst jobs look for? The top searched job categories for Clinical Research Data Analyst jobs are:
Infographic showing various Clinical Research Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $75,625 per year, or $36.4 per hour.
Research Data Analyst

Research Data Analyst

Vanderbilt Health

Nashville, TN • On-site

Full-time

Medical, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.


Vanderbilt University Medical Center rating

7.6

Company rating: 7.6 out of 10

Based on 249 frontline employees who took The Breakroom Quiz

191st of 885 rated healthcare providers


Job description

Discover Vanderbilt University Medical Center: Located in Nashville, Tennessee, and operating at a global crossroads of teaching, discovery, and patient care, VUMC is a community of individuals who come to work each day with the simple aim of changing the world. It is a place where your expertise will be valued, your knowledge expanded, and your abilities challenged. Vanderbilt Health is committed to an environment where everyone has the chance to thrive and where your uniqueness is sought and celebrated. It is a place where employees know they are part of something that is bigger than themselves, take exceptional pride in their work and never settle for what was good enough yesterday. Vanderbilt's mission is to advance health and wellness through preeminent programs in patient care, education, and research.
Organization:
Neurology Admin 20
Job Summary:
The Vanderbilt ALS Research Center (VARC) at Vanderbilt University Medical Center is seeking a highly motivated and collaborative Data Analyst to support translational research programs focused on amyotrophic lateral sclerosis (ALS), frontotemporal dementia (FTD), and related neurodegenerative diseases.
This position offers a unique opportunity to work within a rapidly growing multidisciplinary research environment integrating clinical research, biospecimen collection, biomarker discovery, multi-omics data analysis, and precision medicine approaches. The successful candidate will work closely with clinicians, scientists, bioinformaticians, trainees, and research staff to support data-driven discovery efforts aimed at improving diagnosis, disease stratification, and therapeutic development for ALS and FTD.
Position Summary
The Data Analyst will assist with the management, integration, analysis, and visualization of complex research datasets generated across multiple translational research studies and clinical programs. The position will support projects involving clinical metadata, longitudinal patient outcomes, genomics, epigenomics, transcriptomics, proteomics, and fluid biomarker datasets.
The ideal candidate is detail-oriented, highly organized, analytically driven, and comfortable working with large-scale human research datasets in a collaborative academic research setting.

KEY RESPONSIBILITIES
Data Management and Integration
  • Organize, curate, harmonize, and maintain large and complex clinical and research datasets from multiple ongoing studies and collaborations.
  • Perform data cleaning, quality control, validation, and integrity assessments across multimodal datasets.
  • Integrate clinical, molecular, biospecimen, and longitudinal patient data into standardized analytical frameworks.
  • Assist with database organization, REDCap management, and biospecimen tracking systems.

Statistical Analysis and Computational Support
  • Perform statistical analyses and exploratory data analyses using R, Python, SQL, and/or related analytical platforms.
  • Support biomarker discovery, patient stratification, longitudinal modeling, and outcome association analyses.
  • Assist investigators with study design, data interpretation, and preparation of analytical plans.
  • Contribute to reproducible analytical workflows and pipeline development.

Data Visualization and Scientific Reporting
  • Generate publication-quality figures, tables, dashboards, and graphical summaries for manuscripts, presentations, grant applications, and internal reports.
  • Prepare analytical summaries for multidisciplinary research meetings and collaborative projects.
  • Assist with generation of reports for regulatory, consortium, and funding requirements.

Research Collaboration
  • Work closely with investigators, clinicians, laboratory personnel, trainees, and external collaborators across translational research projects.
  • Participate in multidisciplinary team meetings and contribute to scientific discussions and project development.
  • Support collaborative efforts across clinical, laboratory, and computational research teams.

Compliance and Data Security
  • Ensure compliance with institutional policies, HIPAA regulations, IRB protocols, and NIH data-sharing requirements.
  • Maintain secure handling of sensitive human subject and clinical research data.
  • Contribute to documentation, data dictionaries, standard operating procedures, and workflow organization.

REQUIRED QUALIFICATIONS
  • Bachelor's or Master's degree in Data Science, Biostatistics, Bioinformatics, Computational Biology, Epidemiology, Computer Science, Biomedical Engineering, Public Health, or a related quantitative field.
  • Experience with statistical programming and data analysis.
  • Experience working with large datasets and relational databases.
  • Strong analytical, organizational, and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Ability to work independently and collaboratively within a multidisciplinary team environment.

PREFERRED QUALIFICATIONS
  • Experience analyzing biomedical, clinical, omics, or neurodegenerative disease datasets.
  • Familiarity with longitudinal clinical data and human subject's research.
  • Experience with multi-omics data analysis, including epigenomics and other high-dimensional molecular datasets.
  • Experience with REDCap, SQL databases, cloud computing environments, or high-performance computing systems.
  • Experience with data visualization tools and publication-quality figure generation.
  • Knowledge of genomics, epigenomics, transcriptomics, proteomics, biomarker studies, or multi-omics integration approaches.
  • Prior experience in academic medical center or translational research environments.

PREFERRED SKILLS AND TECHNICAL EXPERTISE
  • R
  • Python
  • SQL
  • REDCap
  • Data visualization and dashboard development
  • Statistical modeling
  • Multi-omics data integration
  • Longitudinal clinical data analysis
  • Machine learning approaches (preferred but not required)
  • Git/GitHub or version control systems

POSITION TYPE
Full-time research staff position based in Nashville, Tennessee.
Our Academic Enterprise is one of the nation's longest serving and most prestigious academic medical centers. Through its historic bond with Vanderbilt University and integral role in the School of Medicine, Vanderbilt Health cultivates distinguished research and educational programs to advance a clinical enterprise that provides compassionate and personalized care and support for millions of patients and family members each year.
World-leading academic departments and comprehensive centers of excellence pursue scientific discoveries and transformational educational and clinical advances across the entire spectrum of health and disease.
Aligning with Vanderbilt Health's Strategic Directions, the Office of Research provides shared research resources, administrative expertise and professional guidance to enable the trans-disciplinary environment and highly collaborative culture that advances discovery and training for all the research faculty, trainees, students and staff.
Core Accountabilities:
Organizational Impact: Executes job responsibilities with the understanding of how output would affect and impact other areas related to own job area/team with occasional guidance. Problem Solving/ Complexity of work: Analyzes moderately complex problems using technical experience and judgment. Breadth of Knowledge: Has expanded knowledge gained through experience within a professional area. Team Interaction: Provides informal guidance and support to team members.
Core Capabilities :
Supporting Colleagues:- Develops Self and Others: Invests time, energy, and enthusiasm in developing self/others to help improve performance e and gain knowledge in new areas.- Builds and Maintains Relationships: Maintains regular contact with key colleagues and stakeholders using formal and informal opportunities to expand and strengthen relationships.- Communicates Effectively: Recognizes group interactions and modifies one's own communication style to suit different situations and audiences. Delivering Excellent Services:- Serves Others with Compassion: Seeks to understand current and future needs of relevant stakeholders and customizes services to better address them.- Solves Complex Problems: Approaches problems from different angles; Identifies new possibilities to interpret opportunities and develop concrete solutions.- Offers Meaningful Advice and Support: Provides ongoing support and coaching in a constructive manner to increase employees' effectiveness. Ensuring High Quality: - Performs Excellent Work: Engages regularly in formal and informal dialogue about quality; directly addresses quality issues promptly.- Ensures Continuous Improvement: Applies various learning experiences by looking beyond symptoms to uncover underlying causes of problems and identifies ways to resolve them. - Fulfills Safety and Regulatory Requirements: Understands all aspects of providing a safe environment and performs routine safety checks to prevent safety hazards from occurring. Managing Resources Effectively: - Demonstrates Accountability: Demonstrates a sense of ownership, focusing on and driving critical issues to closure.- Stewards Organizational Resources: Applies understanding of the departmental work to effectively manage resources for a department/area.- Makes Data Driven Decisions: Demonstrates strong understanding of the information or data to identify and elevate opportunities. Fostering Innovation:- Generates New Ideas: Proactively identifies new ideas/opportunities from multiple sources or methods to improve processes beyond conventional approaches.- Applies Technology: Demonstrates an enthusiasm for learning new technologies, tools, and procedures to address short-term challenges.- Adapts to Change: Views difficult situations and/or problems as opportunities for improvement; actively embraces change instead of emphasizing negative elements.
Position Qualifications:
Responsibilities:
Certifications :
Work Experience :
Relevant Work Experience
Experience Level :
2 years
Education :
Master's
This role offers the opportunity to make a meaningful impact within Vanderbilt Health, supported by a comprehensive benefits package which may include health, disability, retirement and/or wellness offerings to enhance your well-being and professional growth.
Vanderbilt Health is committed to fostering an environment where everyone has the chance to thrive and is committed to the principles of equal opportunity. EOE/Vets/Disabled.

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