As an AI Research Scientist I at 1910 you will be expected to roll up your sleeves as an Individual Contributor (IC) by keeping up with relevant scientific literature, prototyping promising methods, and contributing to our active drug design campaigns by applying 1910’s productionized AI/ML models.  

Role Description 

• Propose and prototype AI and Machine Learning solutions that address use cases in 1910’s design pipeline  

• Apply productized AI and Machine Learning models to advance 1910’s active drug design campaigns with the support of senior members of the AI Research Team  

• Write and publish peer reviewed scientific articles with the support of senior members of the AI Research Team 

• Periodically presenting recent AI research at internal journal clubs  

• Learn how a molecule processes through the drug discovery process 

• Work cross-functionally with scientific colleagues, being a subject matter expert in how AI and Machine Learning can be used to answer cheminformatics and bioinformatics questions  

• Keep up-to-date on cutting-edge research in the AI for drug discovery space  

Qualifications 

• PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.) 

• A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.)  

• Experience training and deploying cutting edge deep learning methods (Transformers, Graph Neural Networks, etc.)  

• Demonstrated experience writing clean, maintainable, production-quality Python code, with examples available in code repositories. 

• Familiarity with MLOps and DevOps best practices  

• Exposure to distributed computing (Microsoft Azure, HPC Cluster, etc.)  

• Ability to work effectively in a fast-paced startup environment with evolving projects and shifting priorities driven by business needs 

• Excellent written and verbal communication skills, including the ability to create clear documentation for roadmaps, proposals, and related materials 

Nice to Haves 

• An understanding of how a molecule progresses through the drug discovery process 

• Relevant industry experience via internship and co-op (AI, Drug Discovery, etc.) 

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