A postdoctoral associate position in epidemiological analysis is available within the Department of Epidemiology of Microbial Diseases at the Yale School of Public Health.

Environment
The Department of Epidemiology of Microbial Diseases at the Yale School of Public Health has a tradition of applying advanced laboratory and analytical approaches to integrated community and patient-based investigations for the purpose of delineating the transmission dynamics and evaluating interventions to emerging and neglected infectious diseases, such as Zika, dengue and leptospirosis. It has played a leading role in the public health and research response to the COVID-19 pandemic in Connecticut, the United States and internationally.

Job Description
This position will provide the opportunity to work with Dr. Albert Ko and his team in supporting the Connecticut State Department of Public Health’s response to COVID-19. This work will entail epidemiological analysis of surveillance data, regular communication and collaboration with members of the Department of Public Health and guiding state level decision making. In addition, you will be asked to supply analytical and methodological support on specific COVID-19 related questions of state officials. Furthermore, the postdoctoral associate will apply statistical and mathematical models in analysis of data from the Department of Public Health and large, on-going cohort studies of patients from the Yale New Haven Healthcare System with the goal of evaluating the role of movement in SARS-CoV-2 transmission and the effectiveness of prevention and control measures such as testing and non-pharmaceutical interventions in schools, other congregate settings and the community. Training will encompass epidemiological study design, infectious disease models, cohort study design and longitudinal analyses. The postdoctoral associate will be supervised by Dr. Ko and collaborators - Dr. Derek Cummings, Professor in the Department of Biology and Emerging Pathogens Institute at the University of Florida and Dr. Wade Schulz, Assistant Professor and Director of Informatics and the Center for Computational Health at Yale. Results of this research will be used to inform policy regarding the allocations and requirements of interventions including but not limited to testing, vaccinations, and masking. This will be a one-year appointment with the possibility to extend, should both parties agree. The start date of the position is flexible. Salary is competitive and comprehensive benefits including health insurance are provided to all postdoctoral associates. The position offers ample opportunities for career development.

Applicants with, or nearing completion of, a doctoral degree in epidemiology or a related field will be considered. The ideal applicant will have experience in infection surveillance, biostatistics and/or epidemiology, and an interest in quantitative infectious disease research in domestic settings. Proficiency in R is required. The applicant must have strong written and oral communication skills, and documented evidence of their ability to work independently and as part of a large interdisciplinary team.
Please apply online: http://apply.interfolio.com/96787

Interested candidates should submit the following: (1) a CV, (2) a cover letter of up to two pages highlighting the skills relevant to the proposed position, and (3) contact information for three professional references. Applications will be considered on a rolling basis. If you have any questions, please email Dava Flowers-Poole at dava.flowers@yale.edu.

Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.