Postdoctoral Associate- Aortic Disease at Baylor College of Medicine
Houston, Texas, USA -
Full Time


Start Date

Immediate

Expiry Date

25 Nov, 25

Salary

62232.0

Posted On

25 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Medicine, General Surgery, Clinical Research

Industry

Pharmaceuticals

Description

SUMMARY

The postdoctoral associate will focus on data collection and management of clinical projects on aortic disease research. The ideal candidate must have an MD, or MD/Ph.D. and experience in clinical research.
This position also the opportunity to contribute to cutting-edge research in advanced endovascular aortic research within a collaborative, multidisciplinary research environment.

MINIMUM QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

  • A background in clinical research in vascular or general surgery, or with residency training in vascular or general surgery.
    Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
    PD; S
Responsibilities
  • Completes comprehensive prospective or retrospective clinical data collection and management of projects on aortic research, including pre-, intra-, and post-procedural data collection, CTA measurements, and ultrasound interpretation.
  • Develops clinical research studies and conducts data collection, data analysis and interpretation in advance aortic research within a collaborative, multidisciplinary research environment.
  • Develops research protocols, including IRB submissions and amendments, contributes to coordination of multicenter clinical research studies.
  • Writes manuscripts and presents results at both national and international professional conferences.
  • Assists with patient consent, and completion of case report forms (CRFs) and assessment of quality-of-life questionnaires in clinical trials.
  • Assists with clinical data entry into electronic databases sourced from electronic medical records or other clinical databases, etc.
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