Mathematical Modeling Curriculum and Research Postdoctoral Fellowship in the Center for Communicable Disease Dynamics

Harvard University


Title Mathematical Modeling Curriculum and Research Postdoctoral Fellowship in the Center for Communicable Disease Dynamics
School Harvard T.H. Chan School of Public Health
Department/Area Epidemiology
Position Description The Center for Communicable Disease Dynamics at the Harvard T.H. Chan School of Public Health invites creative and motivated researchers to apply for a mathematical modeling curriculum and research post-doctoral fellowship position to work with our faculty on projects on pandemic preparedness and response funded by a CDC contract to improve infectious diseases forecasting and analytics (see https://www.cdc.gov/media/releases/2021/p-1026-mill-funding.html ). These projects include ones focusing on quantitative tools to inform the public health response over the lifecycle of pandemics; assessment of model and forecast communications; mathematical models that relate within-host evolution and dynamics 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; assessing the impact of intervention strategies; and workforce development for mathematical modeling.
 
The Center for Communicable Disease Dynamics (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/ . 
 
The Mathematical Modeling Curriculum and Research Fellow will support the development and implementation of an Africa-based mathematical modeling course. The individual will co-design the program, teach core components of the training course, and mentor the training teams as they develop their own mathematical models to address outstanding questions related to pandemic preparedness and response. Additional responsibilities include creating and facilitating an online, biweekly journal club for public health professionals examining topical modeling papers. The successful candidates will work closely with Drs. Caroline Buckee and Bethany Hedt-Gauthier. In addition, the individual will have the opportunity for professional development through interacting with the other project-affiliated scientists (including Drs. Yonatan Grad, Bill Hanage, Nick Menzies, Megan Murray, Mauricio Santillana).
Basic Qualifications ·      Advanced university degree in a relevant subject (epidemiology, biostatistics/statistics, genomics/bioinformatics, mathematics / applied mathematics, infectious diseases modeling, ecology, evolutionary biology, or a related field)
·      Significant experience in teaching or mentoring roles
·      Significant research experience and success in publishing papers
·      Strong quantitative, analytical, and writing skills
·      Highly creative, ability to work independently and as part of a team, and excited to work in a collaborative environment and within the larger research ecosystems that Harvard and Boston have to offer
Additional Qualifications ·      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.
Special Instructions
  • For “statement of teaching philosophy” document, please describe experience with teaching in a global context. Please limit to a maximum of 1 page. 
  • For “statement of research” document, please limit to a maximum of 2 pages. 
Contact Information Interested candidates should contact Abby Campbell Wong at [email protected] .
 
Inquiries or requests for more information can additional be sent to the contacts above along with a CV.
Contact Email [email protected]
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.
Minimum Number of References Required 3
Maximum Number of References Allowed 3

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