AI Engineering Lead responsible for infrastructure and development of AI agents in product analytics. Managing tools, standards, and governance for a team supporting 60+ products.
About the role
- 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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