Data Scientist
Nes Ziyyona, Central, Israel
• Applying AI/ML for building and modeling the core algorithm of the company: generation and designing the molecules that become the main drugs of the company. Including collecting data and features from papers, cleaning, PCA, training, testing, cross validating, and implementing the model results. • Performing tasks such as classification, clustering, prediction, generation, relationship discovery, and causal inference.• Developing tools for statistical prediction models of qPCR. (Numeric Analysis)• Analyzing RNA-seq and micro arrays data in order to identify new novel therapeutic targets.