Chemical data scientist at Variational AI accelerating drug development using machine learning methods. Collaborating with ML scientists and chemists to analyze chemical datasets.
Responsibilities
Identify, curate, and prepare datasets, ranging from potency and ADMET to gene expression and cell painting
Characterize errors and noise in datasets, and develop techniques to filter and clean them
Analyze curated datasets and integrate chemical data into our machine learning algorithms by designing data loaders
Develop ligand- and structure-based featurizations
Apply traditional cheminformatics techniques
Collaborate with our team of accomplished ML scientists, computational chemists, and medicinal chemists
Requirements
B.S., M.S., or Ph.D. in data science, statistics, computer science, physics, or related discipline
Experience analyzing messy datasets
B.S., M.S., or Ph.D. in chemistry or a related discipline
Experience in cheminformatics
Demonstrated skill with chemical informatics including the aggregation, curation, and preparation of large experimental datasets from multiple sources
Strong programming skills in Python
Experience with cheminformatics libraries and data analysis tools, including RDKit, Matplotlib, pandas, and seaborn
SQL experience preferred
Two or more years’ experience working in small molecule drug discovery is preferred
Intellectual curiosity and drive to excel.
Benefits
Competitive compensation mix of cash and options
Hybrid work environment for Greater Vancouver Area
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