AI Research Scientist II
Boston, MA · On-site
Job Summary : 1910genetics is an AI-native biotech company pioneering drug discovery through advanced AI and machine learning technologies. As an AI Research Scientist II, you will prototype AI ...
1910genetics
1 job near Columbus, OH
AI Research Scientist II
Boston, MA · On-site
Job Summary : 1910genetics is an AI-native biotech company pioneering drug discovery through advanced AI and machine learning technologies. As an AI Research Scientist II, you will prototype AI ...
Full-time
Re-posted 13 days ago
Job description
Job Summary:
1910genetics is an AI-native biotech company pioneering drug discovery through advanced AI and machine learning technologies. As an AI Research Scientist II, you will prototype AI solutions, apply machine learning models to drug design campaigns, and contribute to scientific publications while collaborating with interdisciplinary teams.
Responsibilities:
• 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 minimal support from senior members of the AI Research Team
• Write and publish peer reviewed scientific articles with minimal support from senior members of the AI Research Team
• Periodically presenting recent AI research at internal journal clubs
• 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:
Required:
• PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.)
• 2 years of relevant industry experience (AI, Drug Discovery, etc.)
• A strong 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.)
• Wet lab validation of at least 1 AI-driven drug discovery initiatives
• 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.)
• Strong track record of publications of individual research in top-tier AI journals and conferences
• Ability to demonstrate business value related to developed AI and Machine Learning solutions in biology and medicinal chemistry related to your modeling efforts
• 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
Company:
We are the only AI-native biotech pioneering small and large molecule therapeutics discovery by integrating massive multimodal data, frontier AI models, and high-throughput lab automation into an infrastructure for AI-enabled drug discovery. Founded in 2018, the company is headquartered in Boston, USA, with a team of 11-50 employees. The company is currently Early Stage.
1910genetics is an AI-native biotech company pioneering drug discovery through advanced AI and machine learning technologies. As an AI Research Scientist II, you will prototype AI solutions, apply machine learning models to drug design campaigns, and contribute to scientific publications while collaborating with interdisciplinary teams.
Responsibilities:
• 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 minimal support from senior members of the AI Research Team
• Write and publish peer reviewed scientific articles with minimal support from senior members of the AI Research Team
• Periodically presenting recent AI research at internal journal clubs
• 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:
Required:
• PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.)
• 2 years of relevant industry experience (AI, Drug Discovery, etc.)
• A strong 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.)
• Wet lab validation of at least 1 AI-driven drug discovery initiatives
• 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.)
• Strong track record of publications of individual research in top-tier AI journals and conferences
• Ability to demonstrate business value related to developed AI and Machine Learning solutions in biology and medicinal chemistry related to your modeling efforts
• 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
Company:
We are the only AI-native biotech pioneering small and large molecule therapeutics discovery by integrating massive multimodal data, frontier AI models, and high-throughput lab automation into an infrastructure for AI-enabled drug discovery. Founded in 2018, the company is headquartered in Boston, USA, with a team of 11-50 employees. The company is currently Early Stage.