Scientist, Laboratory of AI in Genomics (GIS)

Job duties and responsibilities:

We invite brilliant minds in computer science to join us at the cutting-edge of cancer genomics research, harnessing the power of artificial intelligence or classical algorithms. Your job will involve either the development of new algorithms or deep learning models focusing on understanding cancer genomes. The focus will be on de novo genome assembly methods for reconstructing cancer genomes or developing new generative RNA/DNA/epigenome/epitranscriptome foundation models and agents aiming to speed up therapeutics development.

The duties include assisting in writing grant proposals and managing projects.

Job Requirements:

• PhD in computer science, math of physics
• Experienced in deep learning or classical algorithms
• Experienced in Pytorch for deep learning or C/C++ or Rust for classical algorithms
• At least one or two first-author publication or preprint from your PhD and/or MSc work.
• Experience with bioinformatics methods and tools for (a) variant calling, and/or (b) de novo assembly and/or (c) long read sequencing analysis
• Proficiency in Python, and genomics and machine learning libraries therein.
• Keen interest in programming, algorithm development, mathematics, complexity, and puzzles.