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Clinical Data Associate Jobs in Spring, TX (NOW HIRING)

Analyze clinical data and trends from platforms such as Athena EMR and DataHub to identify gaps in ... Associate's degree in nursing (ADN) or Bachelor's degree in nursing (BSN). * Active, unrestricted R ...

CRA II and Senior CRA

Houston, TX · Remote

$91K - $114K/yr

We are currently seeking a Clinical Research Associate (Level II or Senior) to join our diverse and ... Performing data review and resolution of queries to maintain high-quality clinical data.

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Clinical Data Associate information

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$12

$34

$77

How much do clinical data associate jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for clinical data associate 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 are some common challenges faced by Clinical Data Associates when ensuring data quality during clinical trials?

Clinical Data Associates often encounter challenges such as identifying and resolving discrepancies in large datasets, maintaining strict compliance with regulatory standards, and coordinating timely data entry from multiple sites. They must work closely with clinical research teams and data managers to clarify ambiguous data and implement data cleaning procedures. Staying organized and detail-oriented is essential to ensure data accuracy and the successful progression of clinical trials.

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

To thrive as a Clinical Data Associate, you need a solid understanding of clinical research, data management principles, and attention to detail, often supported by a degree in life sciences or a related field. Familiarity with clinical data management systems (CDMS), electronic data capture (EDC) tools, and knowledge of regulatory guidelines like GCP or CDISC is typically required. Strong organizational skills, analytical thinking, and clear communication set outstanding candidates apart in this role. These skills ensure the accuracy, integrity, and compliance of clinical trial data, which are crucial for successful research outcomes and regulatory approval.

What does a Clinical Data Associate do?

A Clinical Data Associate is responsible for collecting, validating, and managing clinical trial data to ensure its accuracy, completeness, and compliance with regulatory standards. They work closely with clinical research teams to monitor data quality, resolve discrepancies, and prepare data for analysis. Their work is essential in supporting drug development and regulatory submissions by ensuring reliable and high-quality clinical data.

What Does a Clinical Data Associate Do?

A clinical data associate is responsible for tracking data and results in a research study. As a clinical data associate, your job duties are to collect data, perform data management, and input data into any software used by your team. You work on a research team, so you must be able to work collaboratively and have excellent organizational skills. While you spend most of your time in an office, you may be required to work in the field to record data. The only universal qualifications needed for this career are a background in health care or medical science research and experience with data management software like Oracle Clinical, Microsoft Excel, and SPSS.

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

AspectClinical Data AssociateClinical Research Coordinator
Primary RoleManage and ensure accuracy of clinical trial dataOversee trial operations, patient recruitment, and site management
CredentialsBachelor's in life sciences or related field; familiarity with data managementBachelor's in health sciences or related field; clinical trial experience
Work EnvironmentData management teams, clinical trial databasesClinical sites, hospitals, research facilities
Industry UsagePharmaceutical companies, CROs, biotech firmsHospitals, research institutions, clinical trial sites

While both roles support clinical trials, a Clinical Data Associate primarily focuses on managing and validating trial data, ensuring accuracy and compliance. In contrast, a Clinical Research Coordinator handles the overall trial operations, including patient recruitment and site coordination. Both roles require relevant certifications and work within the clinical research industry, but their daily responsibilities differ significantly.

What are the most commonly searched types of Clinical Data jobs in Spring, TX? The most popular types of Clinical Data jobs in Spring, TX are:
What job categories do people searching Clinical Data Associate jobs in Spring, TX look for? The top searched job categories for Clinical Data Associate jobs in Spring, TX are:
What cities near Spring, TX are hiring for Clinical Data Associate jobs? Cities near Spring, TX with the most Clinical Data Associate job openings:
Infographic showing various Clinical Data Associate job openings in Spring, TX as of June 2026, with employment types broken down into 3% As Needed, 70% Full Time, 18% Part Time, and 9% 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 - Cancer Epidemiology

Postdoctoral Associate - Cancer Epidemiology

Baylor College of Medicine

Houston, TX • On-site

$62K/yr

Full-time

Posted 24 days ago


Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

53rd of 539 rated colleges and universities


Job description

Job Title: Postdoctoral Associate - Cancer Epidemiology
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 Section of Epidemiology and Population Sciences at Baylor College of Medicine invites applications for a Postdoctoral Associate position for our Cancer Epidemiology with Real-World Data (RWD) Training Program. The Training Program provides epidemiology and bioinformatics Postdoctoral Associates with training in how to combine traditional epidemiologic research methods with RWD and modern technologies, like artificial intelligence and natural language processing, for impactful cancer research. Exciting opportunities also exist to work with faculty from MD Anderson Cancer Center, Rice University and UTHealth School of Biomedical Informatics.
Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.
Job Duties
  • Analyzes large data sets.
  • Analyzes next generation sequencing data (e.g., RNA-seq, whole genome/ exome sequencing) to address complex biological and translational research questions.
  • Uses state-of-the-art bioinformatical and statistical tools.
  • Develops new statistical methods to answer biological questions that arise in the research.
  • Prepares manuscripts, abstracts, and presentations for peer-reviewed journals and scientific conferences.
  • Ensures compliance with institutional, sponsor and data security guidelines for handling sensitive genomic and clinical data.
  • Conducts advanced analysis of large-scale biomedical and population health datasets to support ongoing research within the section.
  • Collaborates with multidisciplinary teams that includes faculty investigators, statisticians, clinicians, and trainees, in a highly team-oriented research environment.
  • Participates in the Section's sponsored training program by contributing to collaborative projects, mentoring trainees, and engaging in programmatic activities such as seminars, workshops, and collaborative research initiatives.
  • Develops methodologies and tools for use in the electronic medical records that will strengthen the Learn Health System and improve patient outcomes.
  • 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
  • Ph.D. in Epidemiology or Bioinformatics or related field.
  • Prior experience in analysis with real-world data, high-dimensional data, causal inference, and/or machine learning /artificial intelligence in a plus.
  • Knowledge in cancer biology or genetics is desired.
  • Excellent writing skills in English.
  • Ability to work in a team environment.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
PD; SN
Requisition ID: 25291

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