Postdoctoral Fellow in Social and Behavioral Sciences

Massachusetts, United States
15 Nov 2018
End of advertisement period
13 Dec 2018
Contract Type
Full Time


Harvard T.H. Chan School of Public Health


Social and Behavioral Sciences

Position Description

The Department of Social and Behavioral Sciences at Harvard T.H. Chan School of Public Health seeks an outstanding individual for a Postdoctoral Fellow position to begin in the Spring of 2019. The successful candidate will participate in a NIH grant-funded project on optimism and longevity. The research involves conducting both primary data collection exploring new methods for measuring optimism (or other psychological attributes), as well as secondary data analyses in large scale ongoing cohorts evaluating biobehavioral mechanisms by which optimism may lead to healthier aging. Additional work will include considering epigenetics and other biomarkers of aging and evaluating these relationships across diverse populations. The Fellow will collaborate with faculty mentors (Dr. Laura Kubzansky – Harvard T.H. Chan School of Public Health, Dr. Fran Grodstein, Channing Laboratory, Harvard Medical School and Brigham and Women’s Hospital) to explore key research questions, generate multiple publications, and help write grant proposals.

Fellows will be mentored to facilitate transition to independent research careers by emphasizing acquisition of analytic, writing, and other research skills. Further, fellows will have an opportunity to learn from our highly interdisciplinary, collaborative, and dynamic research group that meets regularly and includes leading scientists (and other fellows) with expertise in several disciplines including: epidemiology, gerontology, social determinants of health, social and clinical psychology, environmental health, genetics and epigenetics, biostatistics, natural language processing, and machine learning.

Basic Qualifications

  1. Ph.D. in psychology, health and human development, social epidemiology or a related field;
  2. Experience with managing and programming large-scale data sets,
  3. demonstrated ability of using advanced statistics,
  4. as well as substantive understanding of the interface between mental and physical health

Additional Qualifications

Interest in and experience with biological data (e.g., epigenetics, microbiome, metabolomics)

Special Instructions

Please upload your current CV, a cover letter, your doctoral transcript, a statement of research, and at least two representative reprints or preprints

Contact Information

Claudia Trudel Fitzgerald

Contact Email


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.

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