Full-Time

Postdoctoral Associate in Quantitative Nutrition and Modeling

Posted on 5/10/2025

Cornell University

Cornell University

Compensation Overview

$61k - $87k/yr

Senior, Expert

Company Does Not Provide H1B Sponsorship

Ithaca, NY, USA

This is a full-time position located in Ithaca, New York, and requires onsite presence.

Category
Lab & Research
Interdisciplinary Research
Life Sciences
Required Skills
Data Analysis
Requirements
  • Ph.D. in animal science, dairy science, or related discipline.
  • Experience in quantitative ruminant nutrition, rumen function, and rumen physiology with experience in amino and fatty acid requirements and supplies.
  • Effective use of statistics and modeling tools in support of decision-making tools.
  • Proven ability to work independently and learn continuously.
  • Excellent organizational skills with the ability to follow up and execute evolving research objectives.
  • Compile and analyze research data and document project results in manuscript form for publication in peer-reviewed journals.
  • Strong communication skills with the ability to engage in teamwork and collaborations.
  • Exercise sound intellectual and ethical judgment when acting for the research lab and the University.
Responsibilities
  • Model development and evaluation (70%) - Analysis and quantification of methane data from chambers and predictions from the CNCPS, sensitivity around inputs, testing and data acquisition, analysis and interpretation. Expansion of the nutrient supply and requirements, including non-essential amino acids and fatty acids.
  • Writing (20%) – Disseminate research results through peer-reviewed papers and conference presentations. Assist in preparing grant applications to advance technology development for the assigned project.
  • Training/supervision (10%) – Teaching and working with practicing nutritionists about the functionality and capability of the nutrition model and working with graduate students in support of their development within the lab.
Desired Qualifications
  • Experience with quantitative ruminant nutrition, statistics, modeling, rumen metabolism, and feed chemistry.
  • Publication record that exemplifies these qualifications.

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