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Clinical Data Jobs in Arizona (NOW HIRING)

Clinical source data is complete according to GCP and FDA guidelines, protocol deviations (if applicable) are documented, and source data is collected in accordance with Sponsor requirements, and ...

Research Assistant

Phoenix, AZ · On-site

$19 - $26.25/hr

This role is responsible for collecting and documenting clinical data, obtaining informed consent, managing investigational product accountability, processing biological samples, and maintaining ...

Research Assistant

Phoenix, AZ · On-site

$19 - $26.25/hr

This role is responsible for collecting and documenting clinical data, obtaining informed consent, managing investigational product accountability, processing biological samples, and maintaining ...

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

Clinical risk stratification * Patient adherence forecasting * Providerutilizationand throughput prediction * Perform feature engineering using clinical, operational, and financial data * Experiment ...

Clinical risk stratification * Patient adherence forecasting * Providerutilizationand throughput prediction * Perform feature engineering using clinical, operational, and financial data * Experiment ...

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Showing results 1-20

Clinical Data information

See Arizona salary details

$18

$53

$76

How much do clinical data jobs pay per hour?

As of May 28, 2026, the average hourly pay for clinical data in Arizona is $53.27, according to ZipRecruiter salary data. Most workers in this role earn between $42.12 and $63.41 per hour, depending on experience, location, and employer.

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

To thrive as a Clinical Data Specialist, you need a solid background in life sciences, data management principles, and familiarity with regulatory guidelines, often supported by a relevant degree. Proficiency in clinical data management systems (CDMS), electronic data capture (EDC) tools, and knowledge of standards like CDISC or MedDRA is typically required. Strong attention to detail, analytical thinking, and effective communication skills are crucial soft skills for this role. These competencies ensure the accuracy and integrity of clinical trial data, supporting regulatory compliance and reliable outcomes in clinical research.

What are some of the common challenges faced by professionals working in Clinical Data roles, and how can they be addressed?

Professionals in Clinical Data roles often encounter challenges such as managing large volumes of complex data, ensuring data quality and integrity, and adhering to strict regulatory standards. These challenges can be addressed by staying updated on industry best practices, utilizing advanced data management tools, and working closely with cross-functional teams such as clinical research and regulatory affairs. Continuous professional development and effective communication within the team are also key to overcoming these hurdles and ensuring successful clinical trial outcomes.

What are clinical data?

Clinical data refers to information collected during the course of ongoing patient care or as part of a clinical trial program. This data includes patient demographics, medical history, lab results, imaging studies, treatment plans, and outcomes. Clinical data is crucial for informing medical decisions, improving patient care, and supporting medical research and drug development. It is typically collected and managed by healthcare providers, researchers, and data professionals while maintaining strict standards for patient privacy and data security.

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

AspectClinical DataClinical Data Coordinator
CredentialsTypically requires a degree in health informatics, life sciences, or related fieldRequires similar credentials, often with additional certification in clinical research or data management
Work EnvironmentData analysis, database management, and reporting in healthcare or research settingsOversees data collection, entry, and quality control in clinical trial or healthcare environments
Employer & Industry UsageUsed across hospitals, research institutions, and pharmaceutical companiesCommonly employed in clinical research organizations and hospitals

While both roles involve handling clinical data, Clinical Data professionals focus on data analysis and management, whereas Clinical Data Coordinators oversee data collection and quality assurance in clinical trials or healthcare settings.

What are the most commonly searched types of Clinical Data jobs in Arizona? The most popular types of Clinical Data jobs in Arizona are:
What are popular job titles related to Clinical Data jobs in Arizona? For Clinical Data jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Clinical Data jobs? Cities in Arizona with the most Clinical Data job openings:
Infographic showing various Clinical Data job openings in Arizona as of May 2026, with employment types broken down into 2% As Needed, 69% Full Time, 24% Part Time, and 5% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $110,810 per year, or $53.3 per hour.
Clinical Data Specialist

Clinical Data Specialist

Celerion

Tempe, AZ • On-site

Full-time

Posted 3 days ago


Celerion rating

7.1

Company rating: 7.1 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

44th of 56 rated research


Job description

Celerion is committed to swift, exceptional clinical research through translational medicine.  Every day, we use our experience, agility, and innovative research strategies to help get drugs to market faster.  

Responsible for the review of all source data and ensure all applicable data is entered into its respective database and/or Case Report Form (CRF). Ensure the completeness, accuracy, and consistency of source data and CRF data entry so that it meets the standard of quality expected for reporting to Sponsors and regulatory bodies. Participate with auxiliary teams involved in study set up, conduct, and data cleaning of clinical trials.
Essential Functions
  • Attend study setup meetings to determine QC criteria and timelines for each study
  • Review study-specific source documents to ensure all forms are accurate prior to study start and that all data collected is in accordance with study-specific Case Report Forms and protocol requirements.
  • Ensure QC reviews are complete in accordance with study-specific timelines
  • Review source data on an ongoing basis to ensure the following: Clinical source data is complete according to GCP and FDA guidelines, protocol deviations (if applicable) are documented, and source data is collected in accordance with Sponsor requirements, and Celerion SOPs/PGs. Ensure data corrections are completed according to GCP guidelines, and Celerion SOPs/PGs. Complete a Final QC to ensure all source data is accounted for and has been QC reviewed
  • Perform accurate data entry and verification for Celerion Standard and Sponsor Provided EDCs.
  • Archive source documentation including CRFs
  • Complete QC/DE dedicated milestones in a timely manner
  • Perform standard quality control steps
Requirements
  • High School Diploma or GED (relevant internal Celerion experience in lieu preferred)
  • 1 - 2 years industry experience preferred
  • Previous Quality Control/ Data Entry or related experience preferred
  • Medical Terminology Training preferred
  • Excellent oral and written communication skills
  • Ability to organize and manage multiple priorities
  • Experience working in an environment with complex processes and defined criteria
  • Excellent time management skills required
  • Proficient in MS Office applications required
  • Excellent attention to detail skills required
Celerion Values:       Integrity   Trust   Teamwork   Respect

Are you ready to join our team?

Celerion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, genetic information, marital status, qualified protected veteran status, or disability.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.