Machine Learning Postdoc Jobs in Arizona (NOW HIRING)

• 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.