A postdoctoral associate position in mathematical/statistical modeling of SARS-CoV-2 immune responses and correlates of protection is available within the Department of Epidemiology of Microbial Diseases at the Yale School of Public Health in collaboration with the Department of Biology and the Emerging Pathogens Institute and at the University of Florida.
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 the US and internationally.
Job description
We are seeking a postdoctoral associate to analyze longitudinal data from a cohort of individuals infected by SARS-CoV-2. The Yale Schools of Public Health and Medicine and the University of Florida are collaborating to study the dynamics of immune responses to SARS-CoV-2 infection and vaccination. The postdoctoral associate will be based at the Yale School of Public Health and work under the supervision of both Dr. Albert Ko, Department Chair of Epidemiology of Microbial Disease at the Yale University School of Public Health, and Dr. Derek Cummings, Professor in the Department of Biology and the Emerging Pathogens Institute at the University of Florida. There will also be opportunities to work with other members of the project team, including Dr. Wade Schulz, Assistant Professor and Director of Informatics and the Center for Computational Health at Yale. The overall goal of the research is to describe the long-term trajectory of the SARS-CoV-2 pandemic and the effect of vaccines and to refine understanding of the contribution of immune status and function to the risk of multiple outcomes upon SARS-CoV-2 infection. The main research objectives for the postdoctoral position are to develop mathematical and statistical models to analyze longitudinal measurements of immune responses to SARS-CoV-2, measure vaccine effectiveness, identify correlates of protection from infection and disease and understand the contribution of other individual level factors associated with immune responses and risk of COVID-19.
Required skills and qualifications:
- PhD in one of the following areas: epidemiology, mathematics, statistics, immunology, physics, computer science, population biology or a similarly quantitative discipline.
- Research experience with mathematical and/or statistical models.
- Excellent verbal and written communication skills.
- Strong interest in infectious disease epidemiology.
- Ability to collate and analyze data, interpret and present results to a high standard using a range of specialized research techniques.
- Good knowledge of R.
- Experience in communicating research findings to a non-specialist audience.
- Ability to work independently but also as part of a larger interdisciplinary research team.
This will be a one-year appointment with the possibility to extend, should both parties agree.
To apply, please submit a CV, statement of interest, and contact information for 3 references. Please apply online: http://apply.interfolio.com/85223
For questions, please email Albert Ko (albert.ko@yale.edu(link sends e-mail)) or Derek Cummings (datc@ufl.edu(link sends e-mail)).
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.