Cornell University, Master of Public Health

Position ID:Cornell-MPH-POSTCAZER [#20860, WDR-00029184]
Position Title: Postdoctoral Associate Position in Computational Approaches to Antimicrobial Resistance Surveillance
Position Type:Postdoctoral
Position Location:Ithaca, New York 14853, United States [map]
Subject Areas: Veterinary Medicine
Public Health
Appl Deadline:2022/02/21 11:59PMhelp popup finished (2021/12/21, finished 2022/03/11)
Position Description:   URMs  

*** this position has been closed and new applications are no longer accepted. ***

As part of the university's comprehensive vaccination program, all Cornell employees are required to have and provide proof of an FDA-or WHO-authorized or approved COVID-19 primary vaccination or have obtained a university-approved disability/medical or religious exemption, regardless of their role and work location.

New hires are required to provide documentation showing primary vaccination status (that is, completion of two shots of the Moderna or Pfizer vaccine or one shot of the Janssen/Johnson & Johnson) before their first day of work. If a new hire's vaccination is not complete or information is not received by their start date, the first day of work will be delayed. It is possible in some cases that an offer of employment may be withdrawn.

Postdoctoral Associate Position in Computational Approaches to Antimicrobial Resistance Surveillance
Dr. Casey Cazer
Department of Public and Ecosystem Health
College of Veterinary Medicine, Cornell University
Ithaca, NY

The Cazer Lab in the Department of Public and Ecosystem Health, Cornell University College of Veterinary Medicine is seeking an outstanding postdoctoral associate in the area of antimicrobial resistance surveillance, using methods from computational biology, machine learning, and statistics.

The Cazer Lab broadly investigates the epidemiology of zoonotic and infectious diseases with computational and field studies. We are primarily interested in the development and spread of antimicrobial resistant bacteria among animals and humans. Specifically, we are investigating novel computational approaches to antimicrobial resistance surveillance to detect increases in resistance and quantify the impacts of mitigation approaches, such as antimicrobial use restrictions in livestock. We also have projects investigating syndromic surveillance for COVID-19 in institutional and community settings, as well as the prevalence and persistence of immunity post-vaccination and post-natural infection.

The postdoctoral associate will work primarily on multidrug resistance surveillance. Multidrug resistance complicates treatment of bacterial infections, therefore early knowledge of circulating resistance phenotypes can improve patient level outcomes and judicious antimicrobial use. However, the number of potential multidrug resistance patterns is exponentially large. We use association mining, an unsupervised machine learning method, to identify and quantify multidrug resistance patterns in phenotypic antimicrobial resistance data. We plan to incorporate genomic sequencing data into this surveillance approach and are interested in exploring new machine-learning techniques for multidrug resistance surveillance in human and animal populations.

There will be opportunities to develop independently driven projects on infectious diseases and the intersection of epidemiology and machine learning. We have access to laboratory diagnostic results, veterinary and human medical records, and national antimicrobial resistance surveillance data. Qualified candidates will have opportunities to supervise graduate, veterinary, and undergraduate students.

Responsibilities:

  • Develop analytic pipelines for multidrug resistance analysis using association mining and/or other unsupervised machine learning techniques
  • Examine correlations between genotypic and phenotypic resistance patterns
  • Collaborate with subject matter experts in antimicrobial resistance and microbiology
  • Draft manuscripts and publish results in high-quality, peer-reviewed journals
  • Use best-practices for reproducible coding
  • Present results at conferences and seminars
  • Contribute to developing and writing grant proposals

Qualifications:

  • Ph.D. degree in Biostatistics, Bioinformatics, Applied Statistics, Computer Science, Mathematics, or a related discipline or a health professional doctorate (e.g., DVM, MD) with substantial experience in one of these fields.
  • Experience working with biomedical data preferred.
  • Knowledge of epidemiologic principles preferred.
  • Must be able to work independently and as part of a diverse, interdisciplinary team.
  • Strong analytic and written communication skills are required.
  • Proficiency in R (preferred) or other data analysis software

This is a 1-year, full-time appointment with a potential for extension contingent on funding and successful performance. This position will start immediately, and work may be conducted partially or fully remotely.

To apply, visit https://academicjobsonline.org/ajo/jobs/20860 to submit a cover letter, curriculum vitae, contact information for three references, and a research statement.

If you have any questions regarding this posting, please contact Dr. Casey Cazer (clc248@cornell.edu).

The Department of Public and Ecosystem Health mission is to use a transdisciplinary, systems approach to tackle the world’s most pressing challenges that involve the inter-dependent health of people, animals, and the ecosystems on which all life depends. Rather than organize around a common discipline or approach, Public & Ecosystem Health brings public health professionals, biophysical and social scientists, and veterinarians together to address three of the world’s greatest challenges: achieving healthy food systems, tackling emerging health threats, and conserving biodiversity. We seek not only to understand these wicked problems through research, but also to address them directly through public health and clinical veterinary practice. Quite simply, our students, staff, and faculty seek to change the world. To do this, we utilize a transdisciplinary One Health/Planetary Health systems approach, and base our work in the principles of sustainability, equity, and engagement.



Diversity and Inclusion are a part of Cornell University’s heritage. We are a recognized employer and educator valuing AA/EEO, Protected Veterans and Individuals with Disabilities. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations. Cornell University is an innovative Ivy League university and a great place to work. Our inclusive community of scholars, students, and staff impart an uncommon sense of larger purpose, and contribute creative ideas to further the university's mission of teaching, discovery, and engagement.

Application Materials Required:
Submit the following items online at this website to complete your application:
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Further Info:
https://publichealth.cornell.edu/
email
 
602 Tower Road
Ithaca, NY 14853