Data Research Tech-Student in Albuquerque, New Mexico at University of New Mexico
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Job Description
Working Title Data Research Tech-Student
Pay $17.00 Hourly
Campus: Health Sciences Center (HSC) - Albuquerque, NM
Department IM Clinical Trials Unit CTU (852X)
Employment Type Student Employment
Student Type
Status Non-Exempt
Background Check Required
For Best Consideration Date 10/22/2026
Position Summary The Internal Medicine Clinical Trials Unit (CTU) is looking for Spanish speaking Research Assistants to assist faculty and staff on clinical research trials. This position will learn study protocols and processes they are listed on. They will contact study participants via phone to administer questionnaires. They will be responsible for entering data from the questionnaires into a secure online data base. They will conduct clinic visits in accordance with protocol, and collect and process biospecimens. and Any other misc. duties as required by the study PI and study coordinator. The position will be housed on North Campus, Health Sciences, Fitz building B65 work schedule will be Monday-Friday 8am-5pm.
Minimum Qualifications
Enrolled in a degree seeking program at UNM, Enrolled at least half-time (6 hours) at UNM for fall and spring semesters (Audit hours do not count), and if Work Study, you must meet Satisfactory Academic Progress.
Preferred QualificationsPreferred Qualifications:
- Bilingual in English and Spanish (spoken and written)
- Proficiency with computer applications and database systems
- Working knowledge of Microsoft Office Suite (Word, Excel, Outlook, and PowerPoint)
- Previous laboratory or research experience is preferred but not required
Only applications submitted through the official UNMJobs site will be accepted. If you are viewing this job advertisement on a 3rd party site, please visit UNMJobs to submit an application.
Please include resume and detailed cover letter.The University of New Mexico is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected class.
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