Job Description:
Project Role
· The Department of OMNI Bioinformatics within Client's Research and Early Development is seeking a highly talented and motivated computational biologist to analyze large-
· scale clinical single-cell data to develop therapeutic hypotheses for complex human diseases.
· The successful candidate will collaborate closely with computational and wet lab scientists across multiple departments and contribute intellectually to the ongoing research projects.
Responsibilities
· Perform computational analyses to identify cells, genes, and pathways associated with clinical outcomes using single cell data.
· Perform computational analyses to understand the differentiation trajectories of cells associated with clinical outcomes.
· Perform computational analyses to understand the gene regulatory networks active in cells associated with clinical outcomes.
· Collaborate closely with other computational and wet lab scientists.
· Contribute intellectually to the ongoing research projects.
· Present regularly during team meetings
Education
· Education level: PhD (preferred), M.S.
· Preferred majors/disciplines: Bioinformatics, Computational Biology, or related field
Qualifications
· Background in computational biology, bioinformatics, or related field
· Proficiency in R, Python, Unix, and Git
· Experience with performing statistical analysis.
· Experience with analyzing single-cell RNA-seq
· Experience with bioinformatics analysis tools such as Seurat and Scanpy
· Experience with working on High Performance Computing clusters.
Nice-to-Have Expertise
· Familiarity with AI/Client methods for processing scRNA-seq data
· Familiarity with trajectory and single-cell velocity analysis using scRNA-seq data.
· Familiarity with gene regulatory network analysis using scRNA-seq data.
· Familiarity with workflow development tools, such as Snakemake or Redun
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