The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second largest college. We work across disciplines to tackle the challenges of our time through world-renowned research, education, and outreach. The questions we probe and the answers we seek focus on three overlapping concerns: We believe that achieving next-generation scientific breakthroughs requires an understanding of the world’s complex, interlocking systems. We believe that access to nutritious food and a healthy environment is a fundamental human right. We believe that ensuring a prosperous global future depends on the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here in New York, across the nation, and around the world. Position Function This position reports to Professor Abigail Snyder in the Department of Food Science at Cornell University. Responsibilities related to the research include carrying out the data analysis and modeling for the assigned projects. Responsibilities related to mentoring and supervising students include helping students with data analysis, experimental design, and manuscript development, which can be done virtually. The Research Associate needs to be an experienced researcher who will use various microbiology, data science, bioinformatic, and modeling skills to research a broad range of projects relevant to Food and Agriculture Sciences at the Department of Food Science at Cornell University. This individual will be involved in the following projects: Modeling of cross-contamination Quantitative microbial risk assessment Covalent organic framework development Analysis of genomic data Statistical analysis and experimental design for the produce and dairy industries Meta-analysis and systematic reviews The Research Associate will perform quantitative research and supervise all digital resources for the lab. In addition, they will be expected to develop new research ideas, design experiments, collect data, present the results, write reports/papers, and develop proposals.
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Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees