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Clinical Data Associate Internship information

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$12

$34

$77

How much do clinical data associate internship jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for clinical data associate internship in Spring, TX is $34.66, according to ZipRecruiter salary data. Most workers in this role earn between $26.11 and $34.66 per hour, depending on experience, location, and employer.

What types of projects and tasks can I expect to work on during a clinical data associate internship?

As a Clinical Data Associate Intern, you will typically be involved in tasks such as data cleaning, verifying the accuracy of clinical trial data, and supporting database management activities. You may assist with data entry, help resolve discrepancies in clinical records, and work with clinical research teams to ensure data integrity. Interns often collaborate closely with data managers, statisticians, and clinical operations staff, gaining valuable exposure to the end-to-end process of clinical data handling. These experiences not only build technical and analytical skills but also provide insight into regulatory requirements and industry standards.

What is the difference between Clinical Data Associate Internship vs Clinical Data Associate?

AspectClinical Data Associate InternshipClinical Data Associate
CredentialsTypically pursuing or recent graduate in life sciences or related fieldBachelor's degree in life sciences, healthcare, or related field; some roles may require certification
Work EnvironmentInternship setting, often in pharmaceutical or biotech companies, with supervised tasksFull-time role in clinical research teams, handling data management independently
Employer & Industry UsageUsed as a training position in clinical research organizations and pharma companiesEstablished role in clinical trials and data management teams

The Clinical Data Associate Internship is a temporary training position designed for students or recent graduates to gain experience in clinical data management. In contrast, the Clinical Data Associate is a full-time professional role with greater responsibilities in managing clinical trial data independently. Both roles are essential in the clinical research industry, but the internship serves as a stepping stone toward a full-time career as a Clinical Data Associate.

What are the key skills and qualifications needed to thrive as a clinical data associate intern, and why are they important?

To thrive as a Clinical Data Associate Intern, you need attention to detail, analytical skills, and a background in life sciences or a related field. Familiarity with clinical data management systems (such as Medidata or Oracle Clinical) and knowledge of regulatory guidelines like GCP are typically required. Strong organizational, problem-solving, and communication skills set candidates apart in this role. These abilities ensure accurate data handling, regulatory compliance, and effective teamwork in clinical research projects.

What is a clinical data associate internship?

A Clinical Data Associate Internship is a temporary position designed to provide hands-on experience in managing and analyzing data collected during clinical trials. Interns assist with tasks such as data entry, validation, quality control, and ensuring data integrity according to regulatory standards. This role is ideal for students or recent graduates interested in clinical research or data management in the healthcare industry. Interns typically work under the supervision of experienced clinical data associates and gain insights into the clinical trial process and regulatory compliance.
What job categories do people searching Clinical Data Associate Internship jobs in Spring, TX look for? The top searched job categories for Clinical Data Associate Internship jobs in Spring, TX are:
What cities near Spring, TX are hiring for Clinical Data Associate Internship jobs? Cities near Spring, TX with the most Clinical Data Associate Internship job openings:
Clinical Data Associate Internship jobs near you
Infographic showing various Clinical Data Associate Internship job openings in Spring, TX as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $72,099 per year, or $34.7 per hour.

Postdoctoral Associate - Clinical Bioinformatics

Baylor College of Medicine

Houston, TX • On-site

$62K/yr

Full-time

Re-posted 19 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

183rd of 614 rated colleges and universities

Job description

Postdoctoral Associate - Clinical Bioinformatics
Division: Medicine
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $62,232
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
Summary
The lab is seeking a postdoctoral researcher to collaborate on groundbreaking projects integrating patient-level data with artificial intelligence (AI) and machine learning (ML) methodologies. The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing algorithms, and generating insights to improve patient care. The Postdoctoral Associate will write manuscripts, present research findings locally and nationally, and contribute to advancing clinical informatics.
Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.
Job Duties
  • Collaborates on the development of AI/ML/NLP-driven solutions for healthcare challenges.
  • Reads and interprets patient-level data to support the development of AI/ML/NLP algorithms for clinical applications.
  • Annotates medical notes and datasets to facilitate training and validation of predictive models.
  • Collaborates with data scientists, machine learning engineers, and clinical collaborators to design, implement, and validate innovative algorithms.
  • Conducts exploratory data analysis to extract meaningful insights from complex datasets.
  • Writes manuscripts and prepare presentations for local, national, and international conferences.
  • Conducts literature reviews and maintains awareness of advancements in bioinformatics, AI, and clinical data analysis.
  • Applies foundational knowledge of biostatistics and AI principles to inform study design and algorithm development.
  • Tests, debugs, and validates models in partnership with technical and clinical teams.
  • Ensures adherence to ethical guidelines for the use of patient data in research and development.
  • Works closely with the Artificial Intelligence in Health Lab (AIH-Lab) and the BD-STEP program to advance clinical informatics research.
  • Leverages clinical expertise to refine machine learning models, ensuring clinical relevance and accuracy.
  • Collaborates on the integration of clinical datasets into broader health informatics systems.
  • Provides expert annotations for training large language models (LLMs) and NLP algorithms, focusing on healthcare-specific use cases.
  • Presents findings in department meetings and seminars and support grant writing and funding initiatives.
  • Mentors trainees or junior team members in clinical informatics and research methods as needed.
  • Performs other job-related duties as assigned.

Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.

Preferred Qualifications
  • MD passionate about clinical bioinformatics and driving innovation in healthcare.
  • Able to write manuscripts, present research findings locally and nationally, and contribute to advancing clinical informatics.
  • Background in basics statics.
  • Background in basics AI.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
Nature; PD; SN
Requisition ID: 25496

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