AI Research Scientist II/III

Ideally, you have…

• PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.)
• 2+ years of relevant industry experience (AI, Drug Discovery, etc.)
• A first principles understanding of statistics and classical machine learning methods (SVM, RF, etc.) 
• Industry Experience training and deploying cutting edge deep learning methods (Transformers, Graph Neural Networks, etc.) 
• The ability to write clean, maintainable, production-quality Python code 
• Familiarity with MLOps and DevOps best practices 
• Exposure to distributed computing (Azure, AWS, University Cluster, etc.) 
• Excellent written and spoken communication skills 

Your key responsibilities will include…

• Proposing and prototyping AI/ML solutions that address use cases in our design pipeline 
• Applying productionized AI/ML models to advance our active drug design campaigns 
• Keeping up-to-date on cutting edge research in the AI for drug discovery space 
• Writing and publishing peer reviewed scientific articles 
• Periodically presenting recent AI research at internal journal clubs 

You will learn…

• How a molecule progresses through the drug discovery process 
• How to demonstrate business value related to developed AI/ML solutions 
• Biology and medicinal chemistry related to your modelling efforts

You will teach…

• Cross-functional scientific colleagues about how AI/ML can be used to answer cheminformatics and bioinformatics questions

Compensation & Benefits...

• Competitive Compensation Package 
• Above market benefits 
• Generous vacation and parental leave 
• Super cool team building activities
• Flexible work schedule (3 days onsite)
• Great colleagues