Jobs · Analyst · Florida

Postdoctoral Associate - Statistical Genetics & Data Analytics

AnalystFull-time

About the role

The Institute of Food and Agricultural Sciences is creating an inclusive environment that values diversity and promotes equity. This is a postdoctoral associate position (100% Research) available in the Statistical and Data Analytics Consulting Unit, University of Florida – Institute of Food and Agricultural Sciences (UF/IFAS).

Responsibilities

  • Implementing and running data analysis from plant breeding programs.
  • Ensuring compliance with data security standards and compatibility with R-based and/or Python analysis tools and Shiny apps to maintain open-source and availability to the public.
  • Assisting and maintaining data collection evaluation, curation, storage and analysis methods to improve data security, accuracy, operation, efficiency and summary report generation.
  • Developing and maintaining procedures, handouts for practical data analysis and apps and be responsible for training PIs, technicians, and students on use breeding software and analytical tools.
  • Preparing manuscripts for publication and presentation development to scientific community and other stakeholders.

Qualifications

  • A doctoral degree (foreign equivalent acceptable) in plant breeding/genetics, genomics, applied statistics, or a closely related discipline is required.
  • Candidates should have demonstrated skills in verbal and written communication, interpersonal relationships, and proficiency in programming using either R and/or Python.
  • Candidates must be supportive of the mission of the Land-Grant system and have a commitment to UF core values.
  • At least two years of experience with modeling applied to agriculture, natural resources and genomics and/or phenomics applications is preferred.
  • Experience developing and delivering statistical workshops and training sessions is desirable.
  • Experience consulting on experimental design and/or statistical data analysis is preferred.

Benefits

[Not specified]

Pay

Commensurate with Education and Experience

Schedule

[Not specified]

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