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, NYThe 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.
Employment Assistance:
For specific questions about the position or application process, please contact the Recruiter listed in the job posting or for general questions email mycareer@cornell.edu.
If you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell University's Office of Institutional Equity and Title IX at voice (607) 255-2242, or email at equity@cornell.edu. Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. You may also request an appointment to use a dedicated workstation in the Office of Talent Attraction and Recruitment, at the Ithaca campus, by emailing mycareer@cornell.edu. Please read the required Notice to Applicants statement by clicking here. This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant. 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. Cornell University embraces diversity and seeks candidates who will contribute to a climate that supports students, faculty, and staff to all identities and backgrounds. We encourage individuals from underrepresented and/or marginalized identities to apply.
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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