Postdoctoral Associate - Statistical Genetics & Data Analytics
University of Florida - Chemical Engineering Masters Program · Gainesville, FL · Today
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]