Data Research Engineering/scientist Associate Ii - Austin, United States - University of Texas at Austin
Description
Job Posting Title:
Data Research Engineering/Scientist Associate II, Department of Population Health, Dell Medical School
- Hiring Department:
- Position Open To:
- Weekly Scheduled Hours:
- FLSA Status:
- Earliest Start Date:
- Position Duration:
-
Location:
AUSTIN, TX
- Job Details:
The PRIDE Health Lab in the Department of Population Health is hiring a Data Research Engineering Scientist Associate II for a study recently funded by the National Institutes of Mental Health focused on exposure to early life adversity in sexual and gender minority adult populations.
This position is 5 years with the possibility of extension, dependent on performance and funding with a 6/1/24 start date.
Purpose
- The Department of Population Health is hiring a Data Research Engineering Scientist Associate II for a study recently funded by the National Institute of Mental Health focused on exposure to early life adversity in sexual and gender minority adult populations. The PRIDE Health Lab is looking for someone who has experience and a high level of proficiency with collecting, managing, and analyzing qualitative and quantitative research data and is capable of leading data collection and analysis efforts with oversight from project leadership and senior staff.
Responsibilities:
- Independently conduct qualitative data collection (e.g., indepth interviews, focus groups).
- Lead analysis of qualitative data and support quantitative data analysis.
- Support recruitment of sexual and gender minority adults for an interview study.
- Support community engagement activities.
- Support dissemination and communication about the study and study findings.
- Support development of data collection instruments (e.g., interview scripts, surveys).
- Support grant writing.
- Other related duties as assigned.
- Bachelor's degree in sociology, anthropology, psychology, public health, health education, community health, education, educational psychology, or related field, and 2 years of relevant experience. Experience and proficiency with qualitative data collection and analysis. Experience with developing and implementing study protocols. Excellent organizational and timemanagement skills. Excellent written, oral, and interpersonal communication skills. Demonstrated detail orientation, ability to follow through, and strong problemsolving skills. Ability to work independently and on a team. _Relevant education and experience may be substituted as appropriate._
- Master's degree in sociology, anthropology, psychology, public health, health education, community health, education, educational psychology or related field. More than the required experience. Experience in project management. Experience with sexual and gender minority health research, mental health research, early life adversity research, or related field. Experience conducting research in primary care or family medicine settings or experience with communitybased research in general. Working knowledge of qualitative data analysis software (e.g., Nvivo, Dedoose, REDCap). Publications focused on sexual and gender minority health.
$45,000+ depending on qualifications
Working Conditions- May work around standard office conditions.- Repetitive use of a keyboard at a workstation.- Occasional weekend, overtime and evening work to meet deadlines.- Field work as necessary.
- Employment Eligibility:
- Retirement Plan Eligibility:
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- Equal Opportunity Employer:
equal opportunity/affirmative action employer
, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
- Pay Transparency:
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.
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