Associate Research Scientist

The Department of Epidemiology at Columbia University Mailman School of Public Health is seeking a full-time Associate Research Scientist with a strong psychiatric epidemiology background to contribute to ongoing and future projects in global mental health and implementation science. Reporting to the Principal Investigator, the ARS will work on existing global mental health research projects, including epidemiologic and intervention studies. They will be expected to collaborate closely with faculty across Columbia University and affiliated institutions to conceptualize original research, support and lead the preparation of new grants, and disseminate findings in peer-reviewed journals and national/international conferences. The ARS will also mentor graduate students, postdoctoral fellows, and research staff in psychiatric epidemiology and may co-supervise doctoral and master's students, including participation on dissertation committees, where appropriate. They will perform other duties as assigned.

Responsibilities

Contribute expertise to existing studies - 25%

Development of novel research methods - 20%

Report/manuscript/presentation preparation - 20%

Grant conception and writing contribution - 20%

Mentorship and training - 10%

Other related duties as assigned - 5%

Minimum Qualifications

* PhD or equivalent in psychiatric epidemiology, global public health, or a closely related field.

Preferred Qualifications

* Prior experience securing or contributing substantially to external research funding.

* Evidence of effective mentorship of trainees or junior researchers.

* Demonstrated record of peer-reviewed publications in relevant scientific journals.

* Proven ability to work independently while thriving in collaborative, interdisciplinary environments.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.