Research Assistant Professor

Tulane University

  • New Orleans, LA
  • 4 days ago
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    Skills

    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Biomedical Engineeringunmatched
    • Cardiovascular Diseaseunmatched
    • College Level Facultyunmatched
    • Community Interventionunmatched
    • Computer Scienceunmatched
    • Cross-Functionalunmatched
    • Epidemiologyunmatched
    • Fundingunmatched
    • Medicineunmatched
    • Mentoringunmatched
    • Neurologyunmatched
    • Public Healthunmatched
    • Publicationsunmatched
    • Team Playerunmatched

    Description

    Required Applicant Materials:

    Interested candidates should submit the following materials:

    • Curriculum Vitae
    • Contact information for at least three professional references

    For further inquiries about this position, please email Dr. Kunal Sameer, at ksameer@tulane.edu

    Tulane University is an equal opportunity educator and employer committed to providing an education and employment environment free of unlawful discrimination, harassment, and retaliation. Legally protected demographic classifications (such as a person's race, color, religion, age, sex, national origin, shared ancestry, disability, genetics, veteran status, or any other characteristic protected by federal, state, or local laws) are not relied upon as an eligibility, selection or participation criteria for Tulane's employment or educational programs or activities.

    Tulane University is responsible for providing reasonable accommodations to individuals with disabilities throughout the applicant screening process. If you need assistance in completing an application or during any phase of the interview process, please contact the Office of Human Resources by phone at 504-865-4748 or by email at hr@tulane.edu.

    • PhD in Epidemiology, Public Health, or a related field (MPH also preferred)
    • Demonstrated research experience in cardiovascular disease epidemiology, health disparities, and/or community-based interventions
    • Proficiency in epidemiologic and biostatistical methods; experience with implementation science and/or AI applications in health research a plus
    • Record of peer-reviewed publications commensurate with rank
    • Demonstrated ability, or clear potential, to secure extramural research funding
    • Strong record of, or capacity for, collaborative research across multidisciplinary teams
    • Conduct independent and collaborative research within TRIAD''s focus areas, including cardiovascular disease epidemiology, arrhythmia, and related health disparities
    • Contribute to the design, execution, and analysis of TRIAD''s funded research studies, including those incorporating community-based interventions and digital health technologies
    • Pursue extramural funding opportunities and develop a sustained, externally funded research program
    • Prepare manuscripts for peer-reviewed publication and present findings at scientific meetings
    • Mentor graduate students, postdoctoral fellows, and trainees on TRIAD research projects
    • Collaborate with faculty across TRIAD''s partner departments (Medicine, Epidemiology, Neurology, Biomedical Engineering, Computer Science)
    • Participate in departmental and TRIAD meetings, seminars, and scholarly activities as assigned
    • Conduct independent and collaborative research within TRIAD''s focus areas, including cardiovascular disease epidemiology, arrhythmia, and related health disparities
    • Contribute to the design, execution, and analysis of TRIAD''s funded research studies, including those incorporating community-based interventions and digital health technologies
    • Pursue extramural funding opportunities and develop a sustained, externally funded research program
    • Prepare manuscripts for peer-reviewed publication and present findings at scientific meetings
    • Mentor graduate students, postdoctoral fellows, and trainees on TRIAD research projects
    • Collaborate with faculty across TRIAD''s partner departments (Medicine, Epidemiology, Neurology, Biomedical Engineering, Computer Science)
    • Participate in departmental and TRIAD meetings, seminars, and scholarly activities as assigned

    Numbers & Facts

    LocationNew Orleans, LA

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