Graduate Research Assistant

The University of Texas Rio Grande Valley Job Site; Harlingen (TX); On-site; USD 17,000 - 23,000; Part time

Job summary

The University of Texas Rio Grande Valley seeks a Graduate Research Assistant for the School of Medicine / PCCISU Population Health. This 0.5 FTE position involves recruiting and engaging study participants, analyzing demographics, and supporting CEAL trainings and stakeholder inquiries.

Must be a full-time graduate student with data management and programming basics in R or SAS. Open to those pursuing graduate studies, with a start around July 12, 2021, and potential extension to February 2022

Qualifications

• Must be a full-time graduate student (9 hours during Fall/Spring, 6 hours Summer)
• Experience/knowledge of data management and data analysis
• Knowledge of Microsoft Office; basic knowledge of programming in R, SAS or the ability to learn via other experiences
• Position may be extended to February 2022 with fall/spring commitment

Responsibilities

• Perform COVID informational and engagement sessions with participants
• Review and analyze potential study participant demographics
• Recruit and enroll study participants
• Participate in CEAL meetings and trainings, culture and diversity trainings
• Assist with inquiries from internal and external stakeholders of the STEPS group
• Track participant survey series progress
• Other tasks as assigned by supervisor

Skills

Data analysis

Data management

Microsoft Office

R

SAS

Learning aptitude

Verbal and written communication

Tools

R

SAS

MS Office

Job description

Office Location
The University of Texas Rio Grande Valley
1201 W. University Drive
Human Resources
MASS Building 2 nd Floor
Edinburg, TX 78539

Edinburg: [phone]
Brownsville: [phone]
Office hours:
Monday-Friday
8:00a.m. - 5:00p.m.

Faculty Recruitment:
College of Engineering & Computer Science: [e-mail]

Robert C. Vackar College of Business & Entrepreneurship: [e-mail]

Please see Special Instructions for more details.

Dear Applicant, Human Resources will not be held responsible for redacting any confidential information from the documents you attach with your application. The confidential information includes the following: *Date of Birth *Social Security Number *Gender *Ethnicity/Race Please make sure that you omit this information prior to submission. We are advising that Human Resources will be forwarding your application to the department as per your submission. The University of Texas Rio Grande Valley reserves the right to discontinue accepting applications prior to the stated close date of this position, after meeting the posting requirement of three (3) calendar days.

Title Information

Assistantship Title

Assistantship Title Research Assistant

Job Class Code

Job Class Code 10095

FLSA

FLSA Exempt

Minimum Qualifications

• 1. Currently admitted to the Graduate School
• 2. Be in good academic standing
• 3. Be registered full-time for the respective semester (nine semester credit hours during the fall semester, nine semester credit hours during spring semester, six semester credit hours during the summer session(s)), or in the required number of semester credit hours to fulfill the only remaining requirements on the degree plan.

Position Information

Posting Number

Posting Number A0568

Working Title

Graduate Research Assistant

Location

College

College of Health Professions

Department

School of Medicine / PCCISU Population Hlth

Division

Division Division of Health Affairs

FTE

FTE .5

Scope of Job

• Perform COVID Informational and Engagement Session with participants
• review and analyze potential study participant demographics
• recruit and enroll study participants
• Participate in CEAL meetings and trainings, culture and diversity trainings
• Assist with incoming inquiries from internal and external stakeholders of the STEPS group.
• track participant survey series progress

• Other tasks as assigned by supervisor

Discipline Specific Required Qualifications

• Must be a full-time graduate student (9 hours during the Fall or Spring semester and 6 hours during Summer months)
• Experience/knowledge of data management, data analysis
• Knowledge of Microsoft Office; basic knowledge of programming in R, SAS or the ability to learn to do so through other programming experiences.
• job may be extended to February 2022 in which may require a fall and spring commitment to position

Preferred Qualifications

• Excellent verbal and written communication skills.

Number of Vacancies

Number of Vacancies 1

Desired Start Date

Desired Start Date 07/12/2021

EEO Statement

It is the policy of The University of Texas Rio Grande Valley to promote and ensure equal employment opportunities for all individuals without regard to race, color, national origin, sex, age, religion, disability, sexual orientation, gender identity or expression, genetic information or protected veteran status. In accordance with the requirements of Title VII of the civil rights act of 1964, the title IX of the Education Amendments of 1972, Section 504 of the Rehabilitation Act of 1973, and the Americans with Disabilities Act of 1990, as amended, our University is committed to comply with all government requirements and ensures non-discrimination in its education programs and activities, including employment. We encourage women, minorities and differently abled persons to apply for employment positions of interest.

Open Date

Open Date 07/12/2021

Special Instructions to Applicants

Dear Applicant, Human Resources will not be held responsible for redacting any confidential information from the documents you attach with your application. The confidential information includes the following: *Date of Birth *Social Security Number *Gender *Ethnicity/Race Please make sure that you omit this information prior to submission. We are advising that Human Resources will be forwarding your application to the department as per your submission. The University of Texas Rio Grande Valley reserves the right to discontinue accepting applications prior to the stated close date of this position, after meeting the posting requirement of three (3) calendar days.

Required fields are indicated with an asterisk (*).

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