Career Center

The Center for Communicable Disease Dynamics (CCDD) at the Harvard T.H. Chan School of Public Health invites creative and motivated researchers to apply for at least four post-doctoral fellowship positions to work with our faculty on projects that focus on the study of pandemic response and dynamics. Multiple positions are available across a range of different projects. These projects include ones focusing on quantitative methods to assess the immunological determinants of continued transmission with successive variants; the use of wastewater data to inform situational awareness; modeling evolution of vaccine escape and evasion; examining within-host evolution and dynamics and relating them to population-level epidemiology, evolution, and emergence; assessment of drivers of inequity in surveillance, modeling, and disease burden with a focus on identifying gaps and how to address them.

CCDD has been a key center for research and policy analysis on SARS-CoV-2 and has been at the forefront of the COVID-19 response. CCDD's team, comprised of faculty, researchers, postdocs, and graduate students, uses innovative modeling techniques, interdisciplinary methods, and data analysis to respond to the pandemic. To learn more about the CCDD and the affiliated labs, please see https://ccdd.hsph.harvard.edu/.

Successful candidates will work closely with one or more of the faculty including Drs. Caroline Buckee, Yonatan Grad, William Hanage, Nick Menzies, Megan Murray, Mauricio Santillana (as well as Marc Lipsitch from September 2023), depending on the specific project(s). Successful candidates will also have the opportunity for professional development through interacting with the other scientists applying bioinformatic, epidemiological, and epidemic modeling approaches to viral, bacterial, and protozoan pathogens, and who have worked extensively on COVID-19 response at multiple levels and in interactions with colleagues in local, state, national, and international public health institutions.

Preferred Experience
Successful candidates will have strong quantitative/statistical and/or coding skills and be proficient in a common programming language such as Python, Perl, or R. Experience with dynamical, ecological, epidemiological modeling and/or pathogen genomics is useful. Familiarity with infectious diseases clinical practice, public health practice, surveillance strategies, and other related fields is a plus, but not required. Significant research experience and success in publishing papers.

For additional questions about the position, please contact Dr. William Hanage or Tia Hira.

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.