Research Support Specialist I - CVM (Hybrid)

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　　Cornell University College of Veterinary Medicine is seeking a research support specialist to work primarily on antimicrobial resistance and multidrug resistance surveillance in the Cazer Lab. 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 unsupervised machine learning methods 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. The research support specialist will play a key role in data management, analysis, and dashboard development for antimicrobial resistance surveillance. There will be opportunities to contribute to new projects on antimicrobial resistance epidemiology, draft grants, manuscripts, and presentations.

　　Responsibilities may include supervising veterinary and undergraduate students working on research projects in the Cazer Lab.

　　Primary responsibilities include:

　　Develop analytic pipelines for multidrug resistance analysis using machine learning techniquesManage multiple datasets for antimicrobial resistance projectsCollaborate with subject matter experts in antimicrobial resistance and microbiologyDraft manuscripts and publish results in high-quality, peer-reviewed journalsUse best-practices for reproducible codingPresent results at conferences and seminarsContribute to developing and writing grant proposals

　　This is a hybrid position with at least one day onsite in Ithaca, NY every two weeks

　　Required Qualifications:

　　Bachelor's degree in Biostatistics, Bioinformatics, Applied Statistics, Computer Science, Mathematics, Epidemiology, or a related discipline and at least 2 years of experienceProficiency in at least one of the following: SQL, Python, R, STATAStrong analytical and written communication skillsStrong organizational skills and ability to self-motivateExperience in and/or demonstrated commitment to supporting diversity, equity, access, inclusion, and wellbeing.Ability to cultivate and develop inclusive and equitable working relationships with students, faculty, staff, and community members.

　　Preferred Qualifications:

　　Experience working with biomedical data preferred.Experience with statistical models and epidemiologic methods preferred.Ability to work independently and as part of a diverse, interdisciplinary team.

　　Please submit the following with you application:

　　Resume/CVA cover letter indicating why you want the position and illustrating your skills in at least one statistical software by including 100-200 lines of code.

　　We are unable to provide visa sponsorship for this position.

　　What We Offer:

　　Great benefits! Cornell receives national recognition, as an award-winning workplace for our

　　health, wellbeing, sustainability, and diversity initiatives.

　　A career ladder focused on career development and specialty advancement, withfinancial and mentorship support at every step3 weeks of paid vacationGenerous shift pay if applicable13 additional holiday days with generous holiday pay if you work on those daysAn award-winning employer provided benefits programComprehensive health care optionsAccess to wellness programsEmployee discounts with local and national retail brandsGenerous retirement contributionsImpressive educational benefits include tuition-free Extramural Study andEmployee Degree Program, Tuition Aid for external education, and CornellChildren's Tuition Assistance programFollow this link for more information:

　　Who we are:

　　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 are also developing dashboards and visualization tools for antimicrobial resistance surveillance.

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　　University Job Title:

　　Research Support Spec IJob Family:

　　Academic SupportLevel:

　　EPay Rate Type:

　　SalaryPay Range:

　　$58,660.00 - $62,270.00Remote Option Availability:

　　Hybrid RemoteCompany:

　　Contract CollegeContact Name:

　　Gabriel Gonzalez

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