School: Harvard T.H. Chan School of Public Health
Department/Area: Epidemiology
Position Description
The Department of Epidemiology at the Harvard T.H. Chan School of Public Health studies the frequency, distribution, and determinants of disease in humans, a fundamental science of public health. In addition to pursuing ground-breaking global research initiatives, we educate and prepare future medical leaders and practitioners as part of our mission to ignite positive changes in the quality of health across the world.
We seek an outstanding postdoctoral research fellow for projects related to comparative effectiveness and safety of interventions in mental health (early psychosis, suicide prevention, opioid use disorder). The candidate will be responsible for developing and leading analytical causal inference analyses in international collaborative projects, such as the FEP-CAUSAL and BD-CAUSAL Collaborations.
The postdoctoral research fellow will work on causal inference projects in the mental health space under the supervision of Assistant Professor Alejandro Szmulewicz. The projects range from interventions that reduce suicide risk, to comparative effectiveness of treatment strategies in first episode psychosis and bipolar disorder.
For more information on the research portfolio at CAUSALab, visit https://causalab.sph.harvard.edu/
Basic Qualifications
Education Requirements
Additional Qualifications
Preferred Qualifications
Contact Information
For additional questions about the position, please contact Joanna Michalski, Assistant Director of Projects and Operations, CAUSALab
Contact Email: jmichalski@hsph.harvard.edu
Salary Range
$70,000 - $73,000
Compensation will be based on post-graduate (PGY) experience
Minimum Number of References Required: 2
Maximum Number of References Allowed: 2
Department/Area: Epidemiology
Position Description
The Department of Epidemiology at the Harvard T.H. Chan School of Public Health studies the frequency, distribution, and determinants of disease in humans, a fundamental science of public health. In addition to pursuing ground-breaking global research initiatives, we educate and prepare future medical leaders and practitioners as part of our mission to ignite positive changes in the quality of health across the world.
We seek an outstanding postdoctoral research fellow for projects related to comparative effectiveness and safety of interventions in mental health (early psychosis, suicide prevention, opioid use disorder). The candidate will be responsible for developing and leading analytical causal inference analyses in international collaborative projects, such as the FEP-CAUSAL and BD-CAUSAL Collaborations.
The postdoctoral research fellow will work on causal inference projects in the mental health space under the supervision of Assistant Professor Alejandro Szmulewicz. The projects range from interventions that reduce suicide risk, to comparative effectiveness of treatment strategies in first episode psychosis and bipolar disorder.
For more information on the research portfolio at CAUSALab, visit https://causalab.sph.harvard.edu/
Basic Qualifications
Education Requirements
- A doctoral degree in epidemiology, statistics, computer science, or a relative quantitative field
- Export knowledge of R or SAS
Additional Qualifications
Preferred Qualifications
- Excellent writing skills
- Strong team player with the ability to communicate effectively
- Ability to collaborate within CAUSALab and beyond the research group
Contact Information
For additional questions about the position, please contact Joanna Michalski, Assistant Director of Projects and Operations, CAUSALab
Contact Email: jmichalski@hsph.harvard.edu
Salary Range
$70,000 - $73,000
Compensation will be based on post-graduate (PGY) experience
Minimum Number of References Required: 2
Maximum Number of References Allowed: 2
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