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Entry Level Clinical Data Management Jobs in Spring, TX

Care Access

Clinical Research Assistant

Houston, TX

$19 - $33/hr

How This Role Makes a Difference The Clinical Research Assistant is an entry level clinical ... Record data legibly and enter in real time on paper or e-source documents * Request study ...

Care Access

Clinical Research Assistant

Houston, TX · On-site

Record data legibly and enter in real time on paper or e-source documents * Request study ... management. * Communicate clearly verbally and in writing. * Perform other duties as assigned. The ...

Care Access

Clinical Research Assistant

Houston, TX · On-site

Record data legibly and enter in real time on paper or e-source documents * Request study ... management. * Communicate clearly verbally and in writing. * Perform other duties as assigned. The ...

LivaNova

Statistical Programmer II

Houston, TX · On-site

$90K - $100K/yr

Collaborate with Statistics, Data Management, Clinical, and vendor teams to clarify requirements and resolve data or programming issues. * Develop, validate, and maintain SAS programs in accordance ...

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Entry Level Clinical Data Management information

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$17

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How much do entry level clinical data management jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for entry level clinical data management in Spring, TX is $50.87, according to ZipRecruiter salary data. Most workers in this role earn between $40.19 and $60.53 per hour, depending on experience, location, and employer.

What is the most entry-level job in clinical research?

An entry-level clinical data management role is typically the most accessible position for those starting in clinical research. It involves basic data entry, data cleaning, and using electronic data capture (EDC) systems, often requiring minimal prior experience and offering on-the-job training.

Can you be a CRA with no experience?

Entry Level Clinical Data Management roles typically require some knowledge of clinical trial processes and data systems, but becoming a CRA (Clinical Research Associate) usually requires prior experience or training in clinical research. Many employers prefer candidates with related experience or certifications such as the CCRP, and some companies offer entry-level training programs for aspiring CRAs. Without experience, it may be challenging to qualify directly as a CRA, but starting in related roles like clinical data management can provide a pathway into CRA positions.

What is entry level clinical data management?

Entry level clinical data management involves collecting, processing, and ensuring the quality and accuracy of data generated during clinical trials. Professionals in this role typically assist in data entry, validation, and preparing reports under the supervision of senior data managers. They play a crucial part in maintaining the integrity of clinical trial data, which is essential for regulatory submissions and the development of new medical treatments. This position is ideal for individuals with a background in life sciences, strong attention to detail, and an interest in clinical research.

What are the key skills and qualifications needed to thrive as an Entry Level Clinical Data Management professional, and why are they important?

To thrive as an Entry Level Clinical Data Management professional, you need a background in life sciences, attention to detail, and a basic understanding of clinical research protocols, often supported by a relevant bachelor’s degree. Familiarity with data management systems like Oracle Clinical or Medidata Rave, and knowledge of Good Clinical Practice (GCP) guidelines or clinical data management certifications, are commonly required. Strong organizational skills, problem-solving ability, and effective communication help you collaborate with cross-functional teams and ensure data quality. These skills and qualities are essential for maintaining data integrity, regulatory compliance, and the successful execution of clinical trials.

Which is better, CDM or SAS?

In entry-level clinical data management roles, proficiency in CDM tools like Medidata Rave or Oracle Clinical is essential, while SAS is a widely used statistical software for data analysis. Both skills are valuable; CDM focuses on data collection and database management, whereas SAS emphasizes data analysis and reporting. Having knowledge of both can enhance job prospects in clinical research environments.

What is the difference between Entry Level Clinical Data Management vs Clinical Data Coordinator?

AspectEntry Level Clinical Data ManagementClinical Data Coordinator
CredentialsBachelor's in life sciences or related field; familiarity with data management toolsBachelor's degree; experience with data entry and database management
Work EnvironmentPharmaceutical companies, CROs, clinical research settingsClinical trial sites, research organizations, CROs
Job FocusData entry, validation, database setup, basic analysisData collection, quality checks, database updates
Common Search IntentEntry level data roles in clinical researchData management roles at clinical sites

Entry Level Clinical Data Management involves working with clinical trial data in a research or pharmaceutical setting, focusing on data validation and database setup. Clinical Data Coordinators typically handle data collection and quality checks at trial sites. Both roles require similar educational backgrounds and are essential in clinical research, but they differ in their specific responsibilities and work environments.

How to become a Clinical Data Manager with no experience?

To become an entry-level Clinical Data Manager with no experience, focus on gaining knowledge of clinical trial processes, data management principles, and relevant software such as EDC systems. Pursuing a related bachelor's degree in life sciences, health informatics, or a similar field, along with certifications like CDMP, can improve your prospects. Internships or entry-level roles in clinical research can provide practical experience and help build necessary skills.

What does a typical day look like for someone in an entry-level clinical data management role?

In an entry-level clinical data management position, you can expect to spend your days supporting the collection, review, and validation of clinical trial data. Your responsibilities may include entering data into clinical databases, performing quality checks, resolving data discrepancies, and collaborating closely with clinical research associates and other data managers. You'll also learn industry regulations and work with specialized software tools. This role offers valuable exposure to the clinical research process and provides a strong foundation for advancement within the field.
What are the most commonly searched types of Clinical Data Management jobs in Spring, TX? The most popular types of Clinical Data Management jobs in Spring, TX are:
What job categories do people searching Entry Level Clinical Data Management jobs in Spring, TX look for? The top searched job categories for Entry Level Clinical Data Management jobs in Spring, TX are:
What cities near Spring, TX are hiring for Entry Level Clinical Data Management jobs? Cities near Spring, TX with the most Entry Level Clinical Data Management job openings:
Entry Level Clinical Data Management jobs near you
Infographic showing various Entry Level Clinical Data Management job openings in Spring, TX as of June 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $105,816 per year, or $50.9 per hour.
Postdoctoral Associate - Aortic Imaging & Clinical Research

Postdoctoral Associate - Aortic Imaging & Clinical Research

Baylor College of Medicine

Houston, TX

Full-time

Posted 5 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

Summary

A Postdoctoral Associate position is available in the Division of Vascular Surgery’s Vascular Intelligence for Translational AI & Learning (VITAL) Lab, Michael E. DeBakey Department of Surgery. The Postdoctoral Associate will focus on clinical data collection, data management, and imaging-based and clinical research in aortic disease. The Postdoctoral Associate must hold an MD or MD/PhD degree with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular imaging research. 

The Postdoctoral Associate will receive training under the guidance of the Principal Investigators and collaborating investigators to conduct prospective or retrospective imaging-based and clinical research projects focused on aortic disease and complex endovascular aortic repairs. Responsibilities include protocol development, study design, data collection and analysis, interpretation of clinical and imaging findings, manuscript preparation, and presentation of research findings at scientific meetings. This position provides an excellent platform for career development and the opportunity to contribute to cutting-edge research in advanced endovascular aortic therapies within a collaborative, multidisciplinary research environment. 

Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.

Job Duties
  • Participates in prospective and retrospective imaging-based and clinical research projects focused on aortic disease and complex endovascular aortic repair, including protocol development, study design, clinical data collection and management, and imaging data organization and analysis.
  • Participates in vascular imaging research that includes CTA/DICOM image acquisition, interpretation, imaging-based outcome analysis, and AI- and digital twin-based research initiatives.
  • Develops research protocols that includes IRB submissions and amendments.
  • Contributes to coordinate multicenter clinical research studies.
  • Works collaboratively and professionally within multidisciplinary teams. 
  • Performs data analysis and interpretation of clinical and imaging research findings.
  • Prepares high-quality abstracts, manuscripts, presentations, scientific reports, and other academic materials for peer-reviewed publications and local, national, and international professional conferences.
  • Contributes to scholarly and collaborative research activities.
  • Completes assigned responsibilities accurately and efficiently.
  • Maintains research documentation and data quality standards.
  • Perform other job-duties as assigned.
Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.
Preferred Qualifications
  • MD or MD/PhD degree with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular imaging research. 
  • Experience in clinical or imaging-based research.
  • Familiarity with vascular imaging software, image post-processing, and AI/machine learning applications in clinical or imaging research is desirable.
  • Demonstrates strong written and verbal communication skills, attention to detail, professionalism, and the ability to manage multiple research responsibilities in a timely and organized manner.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

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