This position will contribute to the NGS analysis activity carried out by the Bioinformatics Core by developing and maintaining bioinformatics software tools and related infrastructure. Analytical activities include pipelining, visualization, reporting, and data management on very large datasets generated by the leading NGS platforms. Examples of NGS analysis types include RNA-Seq, single-cell RNA-Seq, ChIP-Seq and ATAC-Seq, spatial transcriptomics, genome assembly and annotation, variant calling, functional analysis, and metagenomics. The candidate will have access to world-class instrumentation and to very large research datasets.
Ph.D. in Bioinformatics, Computational Biology, or related field.
Knowledge of Python, R, and Bash scripting, with demonstrable proficiency in at least one.
Familiarity with unix-based high-performance computing environments
Familiarity with pipeline development frameworks (e.g. Nextflow)
Experience with NGS data analysis including bulk and single cell RNASeq
Experience with scientific data visualization
Knowledge of basic biostatistics
Ability to communicate clearly and effectively with employees and customers
Ability to willingly accept constructive criticism from supervisor
Self-motivated, positive individual
Ability to work effectively in a dynamic, team-oriented environment.