Requires Masters in Statistics, Data Science or closelyrelated field 3 yrs experience designing, developing implementing machine learning and deep learning algorithms using R and Python; utilizing GLM, Pandas, Numpy, Sklearn, Keras, Pytorch Pyspark machine learning packages; aggregating summarizing datasets with GCP BigQuery, Presto, Superset and AWS RedShift; building genomic prediction workflows using AWS Google Cloud; implementing genomic prediction workflow orchestrations using Docker Airflow; analyzing visualizing data to develop R Shiny and Python Dash web applications using Domino, DataRobot, RStudio and RStudio Connect; and using genomics selection, QTL mapping, genomic wide association analysis, selection theory, quantitative trait dissection molecular breeding methods to analyze genomics data and generate genomics predictions.
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