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Clinical Research Data Analyst Jobs (NOW HIRING)

Clinical Research Data Coordinator

Palo Alto, CA · On-site

$28.50 - $38/hr

Clinical Research Data Coordinator This role supports oncology clinical trials by entering ... Proficiency in using computer applications and databases to manipulate, analyze, and report complex ...

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 Sep 9, 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 are some common challenges a clinical research data analyst faces 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.

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 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 do you become a clinical research data analyst?

To become a clinical research data analyst, candidates typically need a bachelor's degree in a related field such as biology, statistics, or health sciences. Gaining experience with data management tools like SAS, R, or SQL, along with knowledge of clinical trial processes and regulatory standards, is important. Some roles may require advanced degrees or certifications in clinical research or data analysis.

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 projects.
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Infographic showing various Clinical Research Data Analyst 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 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $75,625 per year, or $36.4 per hour.

Clinical Research Data Analyst (Informatics) - 141234

San Diego, CA • On-site

University of California San Diego
Education • 10K+ employees

$36 - $40.71/hr

Full-time

Posted 4 days ago


University Of California San Diego rating

8.1

Company rating: 8.1 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

172nd of 633 rated colleges and universities


Job description

Payroll Title:
RSCH DATA ANL 2 RP Department:
NEUROSCIENCES Hiring Pay Scale
$36.00 - $40.71 / Hour Worksite:
La Jolla Appointment Type:
Career Appointment Percent:
100% Union:
RP Contract Total Openings:
1 Work Schedule:
Days, 8-Hour Shifts, Monday-Friday
#141234 Clinical Research Data Analyst (Informatics)
Filing Deadline: Thu 9/17/2026
Apply Now
UC San Diego values and welcomes people from all backgrounds. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply.
UCSD Layoff from Career Appointment : Apply by 9/8/2026 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.
Reassignment Applicants : Eligible Reassignment clients should contact their Disability Counselor for assistance.
DESCRIPTION
The Alzheimer's Disease Cooperative Study (ADCS) is a progressive, multi-site clinical research consortium created to provide an operational framework for Alzheimer's disease clinical trials and research projects. It was formed in 1991 as a cooperative agreement between the National Institute on Aging (NIA) and the University of California, San Diego and has since served as a cornerstone of Alzheimer's disease clinical research across the country. The ADCS promotes the discovery, development, and testing of new drugs, natural products, and lifestyle interventions for the treatment or prevention of Alzheimer's disease, particularly those that are novel or in a proof-of-concept stage. The ADCS infrastructure includes expertise in study design and conduct, and full clinical trial management capabilities through our coordinating center and network of 50+ research sites that participate in studies coordinated by the ADCS. The ADCS provides expertise in developing Alzheimer's disease protocols, recruitment, and management of multiple clinical trials or prospective cohort studies of varying sizes and complexity as a coordinating center as well as a site. The ADCS has a robust program in large data projects and informatics involving secondary data analysis, harmonization, and emulated trials using electronic health records (EHR). The mission of the ADCS research program is accomplished with a diversified funding portfolio, ranging from federal funding such as NIH, to Industry Partners, Foundations, and Gifts.
The Clinical Research Data Analyst is responsible for delivering informatics and data management activities in a complete, consistent, accurate and high quality manner for assigned studies. Works collaboratively with Clinical Research Scientists, Clinical Operations, Biostatistics and others to meet study deliverables and timelines. The Clinical Research Data Analyst may act as the Data Management Lead on projects where required. Supports target trial emulation (TTE) clinical research studies by developing and validating database queries within the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). This work will identify eligible cohorts, define exposure and outcome variables, establish time zero, and generate reproducible evidence analyses.
Works on research data reporting assignments that are of moderate diversity in scope. Exercises judgment within generally defined practices and policies in selecting methods and techniques for obtaining solutions. Provides data listings and metrics as requested by clinical and project teams. Accesses, reviews, analyzes, validates and maintains confidential clinical research data ensuring consistency, integrity and accuracy. Develops and issues database queries within electronic health records (eHR) data to produce results that are consistent with the project Statistical Analysis Plan. Assists in data transfer activities and performs vendor data reconciliation. Develops clinical research plans, user requirements, and quality check specifications and implementations. Facilitates User Acceptance Testing (UAT) prior finalizing solutions and makes update changes as needed. Interacts with, understands, and can reproduce clinical data standards models, especially OMOP.
Professional who applies acquired job skills, policies, and procedures to complete substantive assignments / projects / tasks of moderate scope and complexity; exercises judgment within defined guidelines and practices to determine appropriate action.
MINIMUM QUALIFICATIONS
  • Six (6) years of relevant experience or a Bachelor's in a related field plus two (2) years of experience.
  • Working knowledge of research function.
  • Working skills in statistical analysis, systems programming, database design and data security measures.
  • Working skills in analysis and consultation. Experience with statistical and data management programming (Python, R, SQL) and the use of statistical software skills for database management, quality assurance and data analysis in a Linux terminal (Bash) environment
  • Skills to communicate complex information in a clear and concise manner both verbally and in writing.
  • Expert understanding of relational and object oriented databases, data and file types, and user interface design.
  • Experience in clinical research informatics and some Electronic Health Records (eHR) systems (Databricks, Epic).
  • Knowledge of GCP and 21 CFR Part 11 requirements regarding regulated documentation and software.
  • Working knowledge of medical terminology, medications, clinical research terminology, and healthcare data standards and terminologies, including MedDRA, WHO Drug, CDISC, OMOP, LOINC, SNOMED, ICD, RxNorm, HL7, and FHIR.
  • Excellent organizational and problem solving skills; strong attention to detail but ability to plan for long-term contingencies.
  • Proven ability to research, gather and organize information to produce clear and concise reports and presentations using various resources.
PREFERRED QUALIFICATIONS
  • Basic familiarity with Neurosciences and Psychology (Alzheimer's Disease) clinical research methodology and terminology to inform the development and review of research database and data management.
SPECIAL CONDITIONS
  • Must be willing to work outside of normal business hours, including evenings and weekends to meet deadlines as needed.
  • Must be able to work various hours and locations based on business needs.
  • Employment is subject to a criminal background check.
Pay Transparency Act
Annual Full Pay Range: Unclassified - No data available (will be prorated if the appointment percentage is less than 100%)
Hourly Equivalent: Unclassified - No data available
Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable).
Apply Now
If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements. If applicable, life-support certifications (BLS, NRP, ACLS, etc.) must include hands-on practice and in-person skills assessment; online-only certification is not acceptable.
UC San Diego Health Sciences is comprised of our School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, The Herbert Wertheim School of Public Health and Human Longevity Science, and our Student Health and Well-Being Department. We have long been at the forefront of translational - or "bench-to-bedside" - research, transforming patient care through discovery and innovation leading to new drugs and technologies. Translational research is carried out every day in the hundreds of clinical trials of promising new therapies offered through UC San Diego Health, and in the drive of our researchers and clinician-scientists who are committed to having a significant impact on patient care. We invite you to join our team!
Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached.
To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community .
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
For the University of California's Anti-Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination
UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information.
UC San Diego Health maintains a marijuana and drug free environment. Employees may be subject to drug screening.
Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts an offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; or have filed an appeal of a finding of substantiated misconduct with a previous employer.
a. "Misconduct" means any violation of the policies governing employee conduct at the applicant's previous place of employment, including, but not limited to, violations of policies prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct:
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy
  • Abusive Conduct in the Workplace

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