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Clinical Data Analyst Intern Jobs (NOW HIRING)

The Clinical Data Analyst (CDA) is a mid-level individual contributor role that supports the Data Sciences department in identifying requirements and building solutions towards enhancing clinical ...

The Clinical Data Analyst (CDA) is a mid-level individual contributor role that supports the Data Sciences department in identifying requirements and building solutions towards enhancing clinical ...

The Clinical Data Analyst (CDA) is a mid-level individual contributor role that supports the Data Sciences department in identifying requirements and building solutions towards enhancing clinical ...

The Clinical Data Analyst (CDA) is a mid-level individual contributor role that supports the Data Sciences department in identifying requirements and building solutions towards enhancing clinical ...

The Clinical Data Analyst (CDA) is a mid-level individual contributor role that supports the Data Sciences department in identifying requirements and building solutions towards enhancing clinical ...

The Clinical Data Analyst (CDA) is a mid-level individual contributor role that supports the Data Sciences department in identifying requirements and building solutions towards enhancing clinical ...

The Clinical Data Analyst (CDA) is a mid-level individual contributor role that supports the Data Sciences department in identifying requirements and building solutions towards enhancing clinical ...

This position will work in clinical research analyzing and validating data and creating graphical representations of data. Duties and Responsibilities: * Data validation from redcap registry of ...

The Clinical Data Analyst (CDA) is a mid-level individual contributor role that supports the Data Sciences department in identifying requirements and building solutions towards enhancing clinical ...

The Clinical Data Analyst (CDA) is a mid-level individual contributor role that supports the Data Sciences department in identifying requirements and building solutions towards enhancing clinical ...

... 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 ...

CLINICAL DATA ANALYST

Birmingham, AL ยท On-site

$43K - $50K/yr

This position will work in clinical research analyzing and validating data and creating graphical representations of data. Duties and Responsibilities: * Data validation from redcap registry of ...

... data Continually increase subject matter knowledge on our products Interact with other teams to ... NET Sound analytical, organizational and planning skills and the ability to achieve multiple team ...

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

As of Jun 10, 2026, the average hourly pay for clinical data analyst intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What are some typical responsibilities a Clinical Data Analyst Intern can expect during their internship?

As a Clinical Data Analyst Intern, you can expect to assist with organizing, cleaning, and validating clinical trial data, ensuring its accuracy and integrity. You'll likely work closely with experienced data analysts and clinical research teams to prepare reports, create data visualizations, and support data-driven decision-making processes. Interns often gain hands-on experience using data management software and collaborating in a team-oriented environment, which is valuable for building foundational skills in the field.

What does a Clinical Data Analyst Intern do?

A Clinical Data Analyst Intern assists in managing and analyzing clinical trial data to ensure its accuracy, integrity, and compliance with regulatory standards. They work closely with data managers, statisticians, and clinical research teams to clean, validate, and interpret data from clinical studies. Interns may also be involved in preparing reports, maintaining databases, and supporting the development of data collection tools. This role provides valuable experience in data management, clinical research, and the use of specialized software in the healthcare industry.

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

To thrive as a Clinical Data Analyst Intern, you need a solid background in statistics, data analysis, and healthcare concepts, often supported by coursework in public health, biostatistics, or related fields. Familiarity with tools like SQL, SAS, R, or Python and experience working with electronic health records (EHRs) and data visualization platforms are highly valuable. Attention to detail, strong problem-solving skills, and clear communication help you interpret complex data and collaborate with multidisciplinary teams. These abilities are essential for ensuring accurate data insights, supporting clinical decision-making, and driving improvements in healthcare outcomes.
More about Clinical Data Analyst Intern jobs
What cities are hiring for Clinical Data Analyst Intern jobs? Cities with the most Clinical Data Analyst Intern job openings:
What are the most commonly searched types of Clinical Data Analyst jobs? The most popular types of Clinical Data Analyst jobs are:
What states have the most Clinical Data Analyst Intern jobs? States with the most job openings for Clinical Data Analyst Intern jobs include:
Infographic showing various Clinical Data Analyst Intern job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Clinical Data Analyst

Alimentiv

Chicago, IL โ€ข Remote

Full-time

Posted 8 days ago


Job description

The Clinical Data Analyst (CDA) is a mid-level individual contributor role that supports the Data Sciences department in identifying requirements and building solutions towards enhancing clinical study data reporting and analytics capabilities.ย  This role will support in the development of advanced analytical solutions, better supporting internal and external stakeholders needs in summarizing clinical study data. This role will also enable operational quality and efficiency through the generation and analysis of departmental operational and performance metrics.
ย 
Reporting Standards Management
  • Lead the creation & development of a standard library of reporting and/or analysis solutions (report, dashboard, visualization, or other) for Data Sciences and other stakeholders.
  • Gather requirements from a cross-functional group to a particular study question or operational activity.
  • Build & configure solution to meet the requirements.
  • Lead validation activities to prepare reporting solutions for release/usage.
  • Gather (as needed) and collaborate with volunteer stakeholder group to support validation activities.
  • Contribute to the Data Standards Governance Committee (DSGC) for the management of standard reports.
  • Maintain ongoing updates to standard report templates.
  • Support training for the Data Sciences team of new standard reports/solutions.
Study-Specific Reporting Deployment
  • Deploy standard reporting solutions for use on a study-specific basis.
  • Create & develop ad hoc reporting and/or analysis solutions - report, dashboard, visualization, or other - as requested by study team members.
  • Gather requirements from study team member(s) for ad hoc solutions.
  • Build & configure ad hoc solutions to meet the requirements.
  • Support report requestor in validation activities of study-specific ad hoc solutions to prepare for release/usage.
  • Support long-term maintenance of study-specific solutions and contribute to investigating issues, as raised by study team members.
Department Operational & Performance Analysis
  • Identify requirements with Data Sciences leaders to measure & monitor operational and performance metrics.
  • Design, build, and maintain metrics governance within Data Sciences.
  • Work with large data sets to analyze operational & study data and deliver reporting that outline areas for process & performance improvement/optimization (inefficiencies, inaccuracies, and other issues) to Data Sciences leadership.
Technical Systems
  • Participate in the strategy, management and integration of data reporting systems that impact Data Sciences, including the assessment, integration, build of vendor systems and Alimentiv technologies.
  • Act as a technical system subject matter expert; perform validation and testing of systems.
  • Help gather and determine requirements for relevant technical systems, with cross-functional groups or other Business/Process analysts. Work closely with other technical roles (Data Management, Database Programming, Statistics, Enterprise Analyses, etc.) to drive data governance and excellence.
  • Assess ways to further leverage existing systems to optimize internal efficiencies and processes.
  • Support Data Sciences contribution to a Data Warehouse, contributing to key decisions and strategy.
  • While evaluating new projects or requests for enhancements, help determine the project cost, timeline, goals and feasibility and then support the project through completion.
Qualifications
  • Minimum of a Bachelor's degree + 4-6 years of related experience.
  • Strong analytical skills
  • Visual design and aesthetic sense to produce appealing and intuitive outputs
  • Proficiency with data visualization tools (i.e., PowerBI, Tableau, Spotfire, etc)
  • Skilled data storyteller to communicate complex information in clear and effective manner
  • Strong collaborator
  • Preference to certificate in data analysis, data visualizations, or technical solutions (i.e., PowerBI, Tableau, Spotfire, etc.)
  • Preference to prior Clinical Research and/or Clinical Data Management experience.
Working Condition
  • Home-based
$97,500 - $163,000 a year
+ bonus
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.
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