Lead First Responder Health & Wellness Research

Texas State University

San Marcos (TX)

On-site

USD 90,000 - 120,000

Full time

3 days ago
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Benefits offered by this job

Excellent health insurance
Generous paid time off
Professional development opportunities
Inclusive community

Job summary

Texas State University invites applications for a full-time, 12-month, non-tenure-line Research Assistant Professor to lead ALERRT's first responder health and wellness research program in San Marcos, TX. The role includes building a national agenda, securing funding, and disseminating findings through publications and policy audiences.

The candidate will develop methodologies combining population-level mortality surveillance with biological and biosocial measures, mentor staff, and collaborate

Qualifications

  • Ph.D. in criminal justice, criminology, or a closely related field.
  • Publications in top-tier multidisciplinary or medical journals are a plus.
  • Peer-reviewed publications on law enforcement health, wellness, or mortality.
  • Experience analyzing large-scale secondary data and national mortality surveillance.
  • Advanced proficiency in statistical programming in R.

Responsibilities

  • Lead ALERRT's first responder health and wellness research program.
  • Build and sustain a nationally visible research agenda.
  • Secure extramural funding and manage sponsored projects.
  • Disseminate findings through peer-reviewed publications and reports.
  • Mentor students and research personnel and collaborate with partners.

Skills

R programming
Large-scale data analysis

Education

Ph.D. in criminal justice or related field

Job description

Texas State University invites applications for a full-time, 12-month, non-tenure-line Research Assistant Professor to lead ALERRT's first responder health and wellness research program in San Marcos, TX. The role includes building a national agenda, securing funding, and disseminating findings through publications and policy audiences.

The candidate will develop methodologies combining population-level mortality surveillance with biological and biosocial measures, mentor staff, and collaborate

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