Indiana Biosciences Research Institute
Postdoctoral Research Fellow - CAUSALab
Indiana Biosciences Research Institute, Cambridge, Massachusetts, us, 02140
School:
Harvard T.H. Chan School of Public HealthDepartment/Area:
EpidemiologyPosition Description:The CAUSALab in the Department of Epidemiology at the Harvard T.H. Chan School of Public Health is accepting applications for postdoctoral research fellows to work on research activities within the research lab. The CAUSALab launched in 2021 to articulate a growing research portfolio, create synergy with it;s 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 the CAUSALab's faculty members. The projects range from the development of causal inference and AI methods to the implementation of established causal inference approaches to support public health and clinical decision making.
Basic Qualifications:Education Requirements
A doctoral degree in epidemiology, statistics, computer science, or a related quantitative fieldTechnical
Requirements
Expert knowledge of R or SASAdditional Qualifications:Preferred Skills
Excellent writing skillsStrong team player with excellent communication skillsAn ability collaborate within the CAUSALab and beyond the research group
Additional Information:
Per university payroll tax guidelines all applicants must reside in any of the following states or be willing to relocate to: Massachusetts, New Hampshire, Rhode Island, Connecticut, Maryland, Vermont or New York.
Contact Information:For additional questions about the position, please contact Joanna Michalski
Contact Email:
jmichalski@hsph.harvard.eduSpecial Instructions:Optional Writing Sample (strongly recommended)
Equal Opportunity Employer:We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.#J-18808-Ljbffr
Harvard T.H. Chan School of Public HealthDepartment/Area:
EpidemiologyPosition Description:The CAUSALab in the Department of Epidemiology at the Harvard T.H. Chan School of Public Health is accepting applications for postdoctoral research fellows to work on research activities within the research lab. The CAUSALab launched in 2021 to articulate a growing research portfolio, create synergy with it;s 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 the CAUSALab's faculty members. The projects range from the development of causal inference and AI methods to the implementation of established causal inference approaches to support public health and clinical decision making.
Basic Qualifications:Education Requirements
A doctoral degree in epidemiology, statistics, computer science, or a related quantitative fieldTechnical
Requirements
Expert knowledge of R or SASAdditional Qualifications:Preferred Skills
Excellent writing skillsStrong team player with excellent communication skillsAn ability collaborate within the CAUSALab and beyond the research group
Additional Information:
Per university payroll tax guidelines all applicants must reside in any of the following states or be willing to relocate to: Massachusetts, New Hampshire, Rhode Island, Connecticut, Maryland, Vermont or New York.
Contact Information:For additional questions about the position, please contact Joanna Michalski
Contact Email:
jmichalski@hsph.harvard.eduSpecial Instructions:Optional Writing Sample (strongly recommended)
Equal Opportunity Employer:We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.#J-18808-Ljbffr