Postdoctoral Associate

The research group of Dr. Ana Bento at the College of Veterinary Medicine, Cornell University in Ithaca, NY, seeks two skilled postdoctoral scholars to join our research team. Specializing in infectious disease eco-epidemiology and public health modeling, we study vaccine-preventable respiratory infections (e.g., SARS-CoV-2, influenza, pertussis) and climate sensitive expanding arboviral diseases (e.g., Dengue, Chikungunya, Oropouche, Zika). Our research group is interested in the following topics: transmission dynamics of infectious diseases; impact of surveillance and public health interventions with an overarching goal of informing public health policy as well as local and regional capacityand outbreak preparedness; and one health approaches for anticipating viral emergence in hotspots of emerging infectious diseases. The successful candidate will combine mathematical models with classic and novel surveillance, serological and climate change data to examine the dynamics of infection and immunity for antigenically variable pathogens.

Our research is funded by the National Institutes of Health. More information about research in the Bento Lab can be found at https://www.anabento.io Dr Ana Bento will support and encourage the candidate's independent research interests that align with the mission of the lab. Beyond these positions, we welcome applicants proposing interesting scientific directions in infectious disease modeling broadly. Support will be given to develop grant applications led by a highly independent postdoctoral scholar with a clear vision of scientific investigation that falls within the lab's mission.

Requirements:

The successful candidate should have the following qualifications:

• PhD in Disease Ecology, Epidemiology, Data Science, Applied Mathematics, Computer Science, Statistics, Public Health, Engineering or related computational field.
• Candidates should also demonstrate experience in mathematical modelling, preferably on infectious diseases, and have a promising publication record.
• Have expertise in one or more of the following areas: with large datasets and statistical analysis, machine learning, data viz, and a high level of independence with the publication record to support these characteristics.
• Experience in the management of research, scientific, or academic projects
• Experience in writing code in R/ Python/ C++ and experience coding in collaborative settings.
• The postdoctoral scholar may work alongside students in the research group and with collaborators in other institutions (nationally and internationally).
• The ability to work effectively as part of a multi-disciplinary research team
• Successful candidates will be expected to be based in Ithaca, NY eventually.

Application:

To apply, pleasesubmit a cover letter describing your background, interests, and career goals, curriculum vitae, and names and contact information for three references. All application materials should be submitted electronically through Academic Jobs Online: https://academicjobsonline.org/ajo/jobs/27817

The initial appointment is for a year with the opportunity to extend based on performance. Salary will be commensurate with credentials and experience. The expected pay range will be $61,008- $80,000 with benefits.

Review of applications will be immediate and continue until the position is filled. Start date is flexible.Informal inquiries regarding the position may be directed to Dr. Ana Bento(arb24@cornell.edu).

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Pay Range:

Pay Ranges:

The hiring rate of pay for the successful candidate will be determined considering the following criteria:

• Prior relevant work or industry experience.

• Education level to the extent education is relevant to the position.

• Academic Discipline (faculty pay ranges reflects 9-month annual salary)

• Unique applicable skills.

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EEO Statement:

Diversity and Inclusion are a part of Cornell University's heritage. We are a recognized employer and educator valuing AA/EEO, and we do not tolerate discrimination based on any protected characteristic, including race, ethnic or national origin, citizenship and immigration status, color, sex/gender, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.

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