• A doctoral degree in biology, bioinformatics, computational biology or another appropriate field.
• Comprehensive knowledge of NGS data analysis flow and hands-on experience with at least one aspect of its applications (e.g., WGS/WES, RNA-seq, ChIP-seq, etc.)
• Basic knowledge of human genome, gene expression, and cell biology.
• Familiar with R and one or more other programming languages, e.g., Python or Perl.
• The ability of independent learning and thinking in a highly dynamic and decentralized environment, as well as being a team player to contribute to many ongoing collaborative projects.