Overview
Skills
Job Details
M.S. or PhD in computer science, data science, computational biology or bioinformatics
Fluency in scientific programming and tool development with R, Python, or equivalents
Investigates and implements topological data analysis workflows for target and biomarker discovery
Explores and adapts classical topological data analysis concepts for single-cell and spatial omics data
Collaborates with internal and external partners to develop innovative bioinformatics tools that uncover novel insights from complex heterogenous omics datasets
Creates innovative cloud-native bioinformatics workflows for efficient and sustainable omics data processing, quality control, and integration of multi-omics data to generate systemic insights into disease biology
Interprets and reports on multi-dimensional studies using bulk, single-cell, and spatial omics technologies that will accelerate the pace of research biomarker discovery and translation in early drug discovery across all therapeutic areas