Job Opportunities API

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 II 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 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   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 e xperience 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   #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,