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.
The duties include working with PhD students and ROs, helping write grant proposals, and managing projects.
Job Requirements :
Essential experience and skills:
- You have a PhD in computer science, math of physics
- You are experienced in deep learning or classical algorithms
- You are experienced in Pytorch for deep learning or C/C++ or Rust for classical algorithms
- You have an active interest in understanding the biology
- At least one first-author publication or preprint from your PhD and/or MSc work.
Desirable experience and skills:
- 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.
- Two or more first-author publications and/or preprints from your PhD and/or MSc work.
The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.
