The Postdoctoral Research Associate will conduct independent and collaborative research at the intersection of intimate partner violence, reproductive and adolescent health across the United States, Latin America, and the Caribbean under the mentorship of Dr. Maeve Wallace in the Department of Health Promotion Sciences. The program of research is anchored in the US context and is being scaled into Latin American and Caribbean settings.
The position requires a scholar trained simultaneously in qualitative methods, advanced quantitative methods, and computational social science (including natural language processing and machine learning), with bilingual professional fluency in English and Spanish and a documented program of peer-reviewed scholarship in violence prevention and women's, adolescent, and reproductive health in U.S., Latin American, or Caribbean settings; expertise and experience in community-based participatory research are welcome.
Visa sponsorship is not available for this position.
Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; access to U of A recreation and cultural activities; and more!
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Duties & Responsibilities- Assist with secondary data collection, linkage, and management, and lead computational and epidemiologic analyses of data to achieve grant-funded aims, including natural language processing and machine-learning approaches.
- Prepare first- and co-authored peer-reviewed manuscripts on intimate partner violence in pregnancy-associated homicide, suicide, and drug overdose deaths; intersectional analyses of violence and substance use; and other topics related to social and policy determinants of women's and adolescent health in U.S., Latin American, and Caribbean populations.
- Lead journal submission, revisions, response-to-reviewer correspondence, and all other aspects of peer-reviewed publication.
- Contribute to and lead federal and private foundation grant applications including but not limited to formulating research questions and specific aims, conducting preliminary analyses, drafting research strategy sections, and prepare data-management, restricted-access, and human-subjects documentation.
- Develop and conduct international and binational collaborative research, including coordination of cross-jurisdictional IRB approvals, manage restricted-access data agreements, and support binational mixed-methods data collection and analysis.
- Disseminate findings at national and international scientific meetings and to community, clinical, and policy stakeholders; provide methodological guidance and co-mentorship to graduate students working on linked projects in the Department of Health Promotion Sciences; and translate findings into briefs accessible to non-academic audiences in both English and Spanish.
Knowledge, Skills and Abilities:
- Knowledge of U.S., Caribbean, and Latin American adolescent and reproductive health epidemiology.
- Knowledge of intersectional analytic frameworks for identifying population subgroups where multiple violence- and health-risk dimensions converge.
- Skill in community-based participatory research design and implementation, including community advisory board engagement and co-production of research products with community partners.
- Skill in designing, training, validating, and interpreting supervised and dictionary-based natural language processing classifiers (TF-IDF with logistic regression, dictionary methods, transformer-based models) for unstructured public-health text.
- Skill in mixed-methods design and integration, including triangulation of qualitative thematic analysis with quantitative survey results using joint display tables.
- Skill in scientific writing and revision for peer-reviewed publication and in preparation of NIH-style research strategies, biosketches, and specific aims.
- Ability to work independently, manage multiple concurrent analytic priorities under federal grant deadlines, and produce publication-ready deliverables with full methodological documentation.
- Ability to develop and lead binational and multi-site research collaborations, including cross-jurisdictional IRB coordination, restricted-access data management, and community-based participatory research partnerships.
- Ability to communicate technical findings clearly to interdisciplinary research teams and to Spanish-speaking community, clinical, and policy stakeholders in both English and Spanish.
- Doctoral degree (PhD, ScD, or DrPH) in Health Behavior and Health Promotion, public health, epidemiology, demography, sociology, anthropology, or a closely related interdisciplinary social or behavioral science discipline, conferred prior to the position start date.
- Documented graduate-level training in computational social science (e.g., graduate certificate, formal summer institute, or equivalent coursework), with demonstrated proficiency in supervised natural language processing or machine-learning classification of unstructured surveillance, clinical, or administrative text data.
- Documented graduate-level training in qualitative research methods (ethnography, grounded theory, focus group facilitation, or in-depth interviewing), evidenced by peer-reviewed qualitative publication and proficiency with qualitative analysis software (e.g., Atlas.ti, NVivo).
- Documented training in advanced quantitative methods, including survey-weighted regression, multilevel modeling, and other epidemiologic and econometric approaches applied to large datasets.
- Documented record of peer-reviewed scholarship comprising including first-authored peer-reviewed publications or accepted manuscripts in public health, epidemiology, behavioral or social science, or allied disciplines.
- Documented experience leading investigator-initiated mixed-methods study, feasibility study, or formative trial, including IRB protocol development across multiple jurisdictions and management of restricted-access data agreements.
- Field-research experience with Latin American or Caribbean populations, including communities in Latin America, the Caribbean, or Latin American-origin communities in the United States, with full professional fluency in both English and Spanish.
- Proficiency in R and Python for reproducible computational and statistical analysis, including familiarity with version control (Git/GitHub).
Application: The online application should be completed in its entirety. Blank or missed information may be considered an incomplete submission.
Cover Letter: Should clearly indicate how your skills and professional employment experience meet the Minimum and the Preferred qualifications (if applicable).
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