Scientist I - Computational Biology and Data Analyst

Job Description

About This Role

Our group focuses on identifying conserved pathways and genes between preclinical models ( in-vivo and in-vitro ) and human, as well as identifying novel targets based on human molecular data leveraging NGS. You will be responsible for integrating multi-omics data and establishing computational frameworks. Additionally, you will develop deep learning models to infer the gene expression occurring in humans that cannot be directly measured, based on observations from model systems.

What You Will Do

• Investigate conserved pathways and genes between models ( in-vivo and in-vitro ) and human, utilizing RNA-seq and single-cell RNA-seq data.
• Identify novel therapeutic targets for neurodegenerative diseases by integrative analysis of human molecular data - Genetics, Epigenetics, transcriptomics, and proteomics data.
• Develop a framework to infer gene expression dynamics in human disease progression based on measurements in model systems, using deep neural network.
• Support programs with internal and external ‘omics data.

Who You Are

You enjoy developing deep learning models to infer the gene expression occurring in humans that cannot be directly measured, based on observations from model systems. You have developed deep neural network architecture and latent space interpolation, as well as expertise in RNA-seq and single-cell RNA-seq data analysis.