**Job Description**
This position focuses on developing statistical, machine learning, and deep learning methods for the analysis of multi-omics data, including genetic, epigenetic, transcriptomic, imaging, single-cell genomics, and spatial omics data. The primary goal is to understand the underlying genetic architecture of complex traits and diseases. The role involves joint mentorship from investigators at the University of Florida and Johns Hopkins University, with an immediate start.
**Skills & Abilities**
• Proficient in R/Python
• Prior experience in genetic or genomic data analysis
**Qualifications**
Required Degree(s) in:
• Biostatistics
• Computer Science
• Bioinformatics
• Statistics
• Mathematics
• Related field
**Experience**
Other:
• Degrees earned from an education institution outside of the United States are required to be evaluated by a professional credentialing service provider approved by the National Association of Credential Evaluation Services (NACES).
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