Research Support Specialist I – CVM (Hybrid)

Cornell University

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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 techniques

  • Manage multiple datasets for antimicrobial resistance projects

  • 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

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

***This is a fixed term position of 2 years

Required Qualifications:

  • Bachelor’s degree in Biostatistics, Bioinformatics, Applied Statistics, Computer Science, Mathematics, Epidemiology, or a related discipline and at least 2 years of experience

  • Proficiency in at least one of the following: SQL, Python, R, STATA

  • Strong analytical and written communication skills

  • Strong organizational skills and ability to self-motivate

  • Experience 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/CV

  • A 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, with

  • financial and mentorship support at every step

  • 3 weeks of paid vacation

  • Generous shift pay if applicable

  • 13 additional holiday days with generous holiday pay if you work on those days

  • An award-winning employer provided benefits program

    • Comprehensive health care options

    • Access to wellness programs

    • Employee discounts with local and national retail brands

    • Generous retirement contributions

    • Impressive educational benefits include tuition-free Extramural Study and

  • Employee Degree Program, Tuition Aid for external education, and Cornell

  • Children’s Tuition Assistance program

  • Follow this link for more information: https://hr.cornell.edu/summaries-benefits

 

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.

   

Familiarize yourself with Cornell’s COVID-19 workplace guidance as well as the university’s COVID-19 services and information .

  

University Job Title:

Research Support Spec I

Job Family:

Academic Support

Level:

E

Pay Rate Type:

Salary

Pay Range:

$58,660.00 – $62,270.00

Remote Option Availability:

Hybrid Remote

Company:

Contract College

Contact Name:

Gabriel Gonzalez

Job Titles and Pay Ranges:

Non-Union Positions

Noted pay ranges reflect the potential pay opportunity for each job profile. 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

  • Unique applicable skills

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

To learn more about Cornell’s non-union staff job titles and pay ranges, see Career Navigator .

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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. 

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.

2024-01-16

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