Postdoctoral Associate - Statistical Genetics & Data Analytics

About the role

The Institute of Food and Agricultural Sciences is creating an inclusive environment that values diversity and community. 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.
• Aiding 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 being responsible for training PIs, technicians, and students on use breeding software and analytical tools.
• Preparing manuscripts for publication and presentation development to the scientific community and other stakeholders.
• Performing other duties as assigned.

Requirements

• 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 committed to UF core values.
• At least two years of experience with modeling applied to agriculture, natural resources, and genomics 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.

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 committed to UF core values.
• At least two years of experience with modeling applied to agriculture, natural resources, and genomics 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.

Skills

• Proficiency in programming using either R and/or Python.
• Experience with modeling applied to agriculture, natural resources, and genomics or phenomics applications.
• Experience developing and delivering statistical workshops and training sessions.
• Experience consulting on experimental design and/or statistical data analysis.

Benefits

• Open-source analytical workflows, software applications, and educational resources.
• Training services to enhance research and extension programs across UF/IFAS.
• Collaboration with faculty, staff, and students to improve experimental design, data quality, statistical modeling, visualization, and decision-support tools.

Pay

Commensurate with Education and Experience

Schedule

N/A