The successful candidate will join the dry lab division and participate in the development of novel computational approaches to detect, predict and prioritize genetic variants that could be deleterious and disease-causing. She/he will need to utilize the existing bioinformatics tools, integrate various biological data, and encode important biological events, for the development of advanced new approaches, to decipher the unrevealed role of novel genetic variants in human diseases. Currently, the lab has over 10,000 exome/genome sequenced individuals from a wide range of infectious disease projects. She/he will have opportunities to work with the wet-bench investigators across different disease groups, to support with functional predictions of the genetic variants and high-throughput genomics/transcriptomics data analyses. The position may involve some other bioinformatics related work, including maintaining and updating the in-house exome/genome variant database and the lab-developed webservers.
- Requires a minimum of Bachelor/Master’s degree in bioinformatics or computational biology or computer science (with genomic experience).
- Requires that the candidate is familiar with Linux environment and shell script writing/running, and have programming experience in Python or equivalent, database/website experience in mySQL and PHP.
- Prior experience in next-generation sequencing data analyses and/or machine-learning studies is preferred.