Research Assistant Professor

Tulane University; New Orleans (LA); On-site; USD 85,000 - 135,000; Full time

Job summary

Tulane University’s TRIAD program seeks a senior researcher to conduct and lead epidemiologic studies in cardiovascular disease, health disparities, and related health topics. The role includes study design, data analysis, manuscript preparation, and mentoring of graduate students and postdocs.

Collaborate with multidisciplinary faculty across Medicine, Epidemiology, Neurology, Biomedical Engineering, and Computer Science to secure extramural funding and advance a sustained research program at

Qualifications

• PhD in Epidemiology, Public Health, or 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 to secure extramural research funding.
• Strong record of collaborative research across multidisciplinary teams.

Responsibilities

• 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 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

Skills

Epidemiologic methods

Biostatistics

AI in health research

Implementation science

Mentoring/leadership

Education

PhD in Epidemiology or Public Health

MPH preferred

Tools

R/SAS

Python

Job description

Responsibilities

• 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

Qualifications

• 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

About Us

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.

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