Postdoctoral Research Fellow (HIV-CAUSALab)

Details

Title Postdoctoral Research Fellow (HIV-CAUSALab)

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.

The CAUSALab in the Department of Epidemiology is accepting applications for a postdoctoral research fellow to work on research activities within the research lab. The CAUSALab launched in 2021 to articulate a growing research portfolio, create synergy with its strategic partners, and provide training on causal inference to the next generation of investigators.

For more information on CAUSALab, please visit: https://causalab.sph.harvard.edu/.

The postdoctoral research fellow will work on causal inference projects under the supervision of Professor Miguel Hernan and Associate Professor Sara Lodi. The projects range from the development of causal inference and methods to the implementation of established causal inference approaches to support public health and clinical decision making. The focus will be on HIV research.

Application Details:

• Curriculum vitae

• Description of research interests

• Two reference letters

• A brief comment/critique*

*Optional (but strongly recommended): A brief comment/critique (a few sentences suffice) of work conducted by CAUSALab researchers. For example, you can tell us how an analysis could be improved, propose alternative interpretations of the findings, point out potential errors, describe alternative areas of application, or discuss any ideas you’d like to share with us.

Basic Qualifications

Education Requirements

• A doctoral degree in epidemiology, statistics, computer science, or a relative quantitative field

Experience & Skills Requirements

• 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

Additional Information: Per university guidelines, postdoc appointments are considered to be on-campus, full-time positions. Per university payroll tax guidelines all applicants must reside in an acceptable payroll states or be willing to relocate to: Massachusetts, New Hampshire, Rhode Island, Maine, Connecticut, Maryland, Vermont, New York, California, New Jersey, Virginia, Washington, Georgia, or Illinois.

Special Instructions

Contact Information

For additional questions about the position, please contact Joanna Michalski, Assistant Director of Projects and Operations, CAUSALab

Contact Email [email protected]

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

Keywords

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Supplemental Questions