Postdoctoral Research Fellow in Causal Inference for Cancer Control

Harvard University

Job Description


Title Postdoctoral Research Fellow in Causal Inference for Cancer Control
School Harvard T.H. Chan School of Public Health
Department/Area Epidemiology
Position Description
The Department of Epidemiology at the Harvard Chan School is committed to enriching the academic experience of our talented students and researchers by providing the critical thinking and problem-solving skills they need to address current and future challenges in public health and clinical medicine. Our faculty and research staff are global leaders in the study of the frequency, distribution, and determinants of disease in humans, known for their innovative approaches to the epidemiology of cancer, cardiovascular disease, reproductive and perinatal diseases, and other chronic diseases, as well as in epidemiologic methodology. All of this work is strengthened by deep foundations in theory and application and broad interdepartmental engagement. 
In addition to pursuing groundbreaking 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 Department of Epidemiology is invested in strong mentorship within a dynamic culture of collaboration and innovation. Our unique and diverse community provides unparalleled collaborative opportunities with academic departments across Harvard and at many world-class Harvard-affiliated hospitals.
The Department of Epidemiology at Harvard T.H. Chan School of Public Health invites applications for a postdoctoral research fellow position focused on the application of modern causal inference methods to complex biomedical data (e.g., electronic health records) to improve and personalize cancer control. Example projects include (1) evaluation of drugs with identified repurposing potential for cancer prevention, (2) evaluation of dynamic (adaptive) screening strategies for cancer, and (3) investigation of the optimal timing and sequencing of cancer treatments. The postdoctoral fellow will be supervised by Dr. Barbra Dickerman and work closely with collaborators at the CAUSALab and Zhu Family Center for Global Cancer Prevention.
PLEASE NOTE: This position has a term appointment of 2 years from date of hire, with the possibility of extension based on
continued funding availability.
PLEASE NOTE: The finalist will be required to complete both the Harvard University and U.S. Veterans Administration background
screening processes.
Basic Qualifications
Education Requirements
  • A doctoral degree in epidemiology, biostatistics, computer science, or a related quantitative field

Experience Requirements
  • Research experience in causal inference

Technical Requirements
  • Strong programming skills in SAS or R

Additional Qualifications
Preferred Experience and Skill Requirements
  • Experience in the analysis of large health databases (e.g., EHR data)
  • Excellent written and verbal communication skills
  • Highly organized with strong attention to detail and accuracy
  • An ability to work collaboratively and independently

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, Connecticut, Maryland, Vermont or New York. 
PLEASE NOTE: Due to funding requirements, we are only able to consider U.S. Citizens or permanent residents at this time. 
Special Instructions
Contact Information
For additional questions about the position, please contact Dr. Barbra Dickerman
Contact Email barbra_dickerman@g.harvard.edu
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. The Harvard T.H. Chan School of Public Health is committed to upholding the values of diversity, equity, and inclusion in our hiring processes. Women and individuals from underrepresented racial and ethnic minority groups are strongly encouraged to apply.
Minimum Number of References Required 2
Maximum Number of References Allowed 2

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