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AI Research Scientist I

1910
Company1910
CategoryData & Analytics
LocationBoston
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted26 Jan 2026
Last verified10 Aug 2026
SourceEmployer ATS (greenhouse)
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Description
Company Overview   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.   We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers, operators, innovators, drug developers, business professionals, and technologists.    Join us to build the world’s first AI infrastructure for tech-enabled drug discovery and to deliver a pipeline of diverse drug modalities for all major disease areas.   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   Propos e  and prototyp e  AI  and  M achine 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    Writ e  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 bioinformat ic s 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.)   #LI-Onsite Diversity and Inclusion (1910’s Promise)   At 1910, we believe that a diverse, equitable, and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. 1910 is proud to be an equal-opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or V