– Ph.D. in Computer Science, Computational Biology, or related disciplines
– 3+ years of hands-on experience in omics data analysis preferably in the field of machine learning
– Good understanding of statistics and bioinformatics methods
– Experience in R
– Experience in working with public biological databases, methods, and tools
– Strong communication skills with fluency in English
– Team player, positive and driven
– Attention to details and fast learner

Advantages:
– Experience in developing analysis methodologies
– Experience analyzing diverse data types (e.g. transcriptomics, single-cell analysis)
– Background in Immunology
– Publication track record and public speaking experience