Collaborate across R&D data science teams to develop enterprise strategies for machine learning in drug discovery. Mine multi-omics/functional genomics data to identify relevant biological pathways & improve mechanistic understanding from phenotypic screening campaigns.
Develop machine learning (ML) and analytics tools to analyze large High Throughput Screening and other data sets, and integrate to enable hypothesis testing to address key scientific questions.
Utilize necessary tools to extract and prepare datasets for downstream consumption in models and analytics. Write and document programming code in one or more languages (Python preferred).