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Harvard University

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Postdoctoral Research Fellow in Causal Inference and Mental Health at Harvard University Harvard University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral appointment with a salary range of $70,000–$73,000, based on post-graduate experience. The position is a full-time on-campus postdoc appointment.

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Country

United States

University

Harvard University

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Keywords

Computer Science
Epidemiology
Biology
Suicide Prevention
Medical Science
Causal Inference
Salud Pública
Comparative Effectiveness Research
Bipolar Disorder
Mental Illness
Statistics
Opioid Use

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About this position

Harvard University’s Harvard T.H. Chan School of Public Health is advertising a Postdoctoral Research Fellow position in CAUSALab within the Department of Epidemiology.

The role focuses on causal inference, comparative effectiveness, and the safety of interventions in mental health, including early psychosis, suicide prevention, opioid use disorder, and related projects in bipolar disorder and first episode psychosis. The fellow will develop and lead analytical causal inference analyses in international collaborative projects such as the FEP-CAUSAL and BD-CAUSAL collaborations.

Supervision is by Assistant Professor Alejandro Szmulewicz. The postdoc will work within CAUSALab and contribute to collaborative research across the group and beyond.

Eligibility: a doctoral degree in epidemiology, statistics, computer science, or another relevant quantitative field is required. Applicants should have strong skills in R or SAS. The post specifically notes that U.S. citizens or permanent residents are eligible to apply. Preferred qualities include excellent writing, teamwork, and effective communication.

Funding: the salary range is $70,000–$73,000, with compensation based on post-graduate experience. The appointment is full-time and on-campus.

Location: Cambridge, Massachusetts, United States.

How to apply: submit an application through the Harvard Academic Positions portal. For additional questions, contact Joanna Michalski at [email protected]. More information about the research portfolio is available at the CAUSALab website.

Funding details

Postdoctoral appointment with a salary range of $70,000–$73,000, based on post-graduate experience. The position is a full-time on-campus postdoc appointment.

What's required

A doctoral degree in epidemiology, statistics, computer science, or a related quantitative field is required. Applicants should have strong knowledge of R or SAS. U.S. citizens or permanent residents are eligible to apply. Preferred qualifications include excellent writing skills, strong teamwork, and the ability to communicate and collaborate effectively within and beyond CAUSALab.

How to apply

Apply through the Harvard Academic Positions posting using the application link. For questions about the position, contact Joanna Michalski at [email protected].

More information can be found here

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