Develop algorithms to improve identification and analysis of therapies with a primary focus on building machine learning models.
Identify and implement workflow improvements, including statistical modeling techniques.
Collaborate with computational team to build and improve the pipeline by staying current on single-cell methodologies and integrating bioinformatics tools.
Liaise with both wet lab and computational scientists to identify sequencing needs and determine best plan of action.
Analyze various large-scale datasets including scRNAseq and report findings with a deep understanding of the molecular biology variables and clinical applications.
Build a group to focus on drug discovery and development efforts.