Postdoctoral Associate – Statistical Genetics & Data Analytics, University of Florida, US

Summary

The Institute of Food and Agricultural Sciences (UF/IFAS) at the University of Florida is seeking a full-time Postdoctoral Associate (100% Research) to join the Statistical and Data Analytics Consulting Unit (SDACU). This position supports UF plant breeding programs and the USDA-ARS funded Breeding Insight initiative by delivering open-source analytical tools, statistical modeling, data management workflows, and training to faculty, students, and staff.

Postdoctoral Associate – Statistical Genetics & Data Analytics, University of Florida

Designation

• Job Title: Postdoctoral Associate – Statistical Genetics & Data Analytics
• Classification Title: Postdoc Aso

Quick Details

Research Area

• Statistical Genetics & Genomics
• Applied Plant Breeding & Phenomics
• Applied Statistics & Data Analytics
• Open-Source Analytical Tool Development (R / Python / Shiny)

Location

• University of Florida (Main Campus), Gainesville, Florida, USA

Eligibility & Qualifications

Required Qualifications

• Education: A Doctoral degree (foreign equivalent acceptable) in plant breeding/genetics, genomics, applied statistics, or a closely related discipline.
• Technical Skills: Proficiency in programming using R and/or Python.
• Soft Skills: Demonstrated strong verbal and written communication skills and effective interpersonal relations.
• Core Alignment: Commitment to the mission of the Land-Grant system and UF core values.

Preferred Qualifications

• At least 2 years of experience with predictive modeling applied to agriculture, natural resources, genomics, and/or phenomics.
• Experience in developing and delivering statistical workshops and training sessions.
• Experience consulting on experimental design and complex statistical data analysis.

Job Description & Effort Allocation

• 40% Effort — Data Analysis & Workflow Execution:Implement and run data analyses for plant breeding programs. Ensure compliance with data security standards while maintaining compatibility with R/Python tools and Shiny applications to support public open-source availability.
• 20% Effort — Data Management & Storage:Maintain and improve methods for data collection, evaluation, curation, storage, and analysis to optimize data security, accuracy, operational efficiency, and automated summary report generation.
• 20% Effort — Training & Tool Documentation:Develop and maintain practical analysis procedures and app guides. Train principal investigators (PIs), technicians, and students on breeding software and statistical tools.
• 10% Effort — Publications & Presentations:Prepare research manuscripts for publication and deliver scientific presentations to stakeholders and academic communities.
• 10% Effort — Other Duties:Perform other related duties as assigned to support unit operations.

How to Apply

Interested candidates must apply online through the Careers at UF Portal and submit the following documents:

1. Cover Letter stating interest in the position and addressing relevant qualifications.
2. Curriculum Vitae (CV).
3. Contact Information (including emails) for three professional references willing to submit letters of recommendation.
4. Unofficial Transcripts (Official transcripts required upon hire; degrees earned outside the US must be evaluated by a NACES-approved service).

Nominations: Nominations including the complete name and address of the nominee may be submitted to: Dr. Carine Klauberg, Director, IFAS Statistical and Data Analytics Consulting Unit 404 McCarty Hall C, PO Box 110339, Gainesville, FL 32611-0410 Email:carine.klaubergs@ufl.edu(Refer to Requisition # 540511)

Last Date to Apply

• August 08, 2026, by 11:55 PM (Eastern Time)

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