Clinical Research Associate Job at Houston VA Research and Educ, Houston, TX

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  • Houston VA Research and Educ
  • Houston, TX

Job Description

Job Title: Clinical Research Associate

Job Summary:

The Clinical Research Associate supports day-to-day operations of clinical research studies and trials, including data collection, management, and analysis. The role involves participant recruitment and enrollment, study documentation, and coordination with investigators and research staff. The individual will contribute to scientific outputs, including manuscripts and presentations.

Duties/Responsibilities:

  • Support daily operational activities for clinical research studies and clinical trials.
  • Collect, evaluate, enter, and track study data in accordance with protocol requirements.
  • Assist in completing protocol-specific forms, study documents, and regulatory materials.
  • Establish and maintain study files; prepare and oversee study-related documentation.
  • Review and annotate Electronic Medical Records (EMRs) for research purposes.
  • Assist with clinical data abstraction and validation to support research analyses.
  • Perform statistical analyses using state-level or large-scale clinical datasets, including descriptive and inferential methods.
  • Support administrative tasks related to regulatory submissions, IRB documentation, and study coordination.
  • Contribute to scientific manuscript preparation, including drafting, revising, and submission to peer-reviewed journals.
  • Assist with preparation and delivery of scientific presentations, posters, and conference materials.
Minimum Qualifications
  • Education Required: MD or equivalent international medical degree.
  • Experience Required: Minimum of five years of relevant clinical or research experience.
  • Active VA Without Compensation (WOC) appointment preferred; candidates eligible for WOC appointment will also be considered.
Preferred Qualifications
  • Experience reviewing and annotating clinical notes (e.g., chart review, NLP annotation, structured data abstraction).
  • Proficiency in statistical or programming software such as R, SAS, Python, or STATA.
  • Prior involvement in research projects and/or authorship on peer-reviewed publications.
  • Familiarity with VA data systems (e.g., CDW, VINCI) strongly preferred.
  • Strong attention to detail and ability to work efficiently with large-scale clinical datasets.

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