AI Research Scientist Boston

1910 Genetics is a Series A stage biotechnology company that is pioneering a novel Input-Transform-Output (ITO) platform as the first ever horizontal AI infrastructure for drug discovery. In a crowded space with hundreds of AI drug discovery companies, 1910’s ITO platform is differentiated by: Modality agnostic drug discovery: our platform is capable of designing both small molecule and large molecule therapeutics across all disease areas, with an initial focus on neuroscience, oncology, and autoimmune diseases. Proprietary massive multimodal data, which overcomes the data scarcity problem that prevents frontier AI models from being utilized for drug discovery. Multi-AI agent systems that include a robust collection of frontier AI/ML models, each of which works in a task-oriented manner to achieve the multi-parameter optimization problem of drug discovery and development. A state-of-the-art (SOTA) fully-automated, high throughput wet laboratory in the premier Boston Seaport District for both data generation for AI model training as well as validation of the safety and efficacy of drug candidates that are outputted by our frontier AI models. An unprecedented partnership with Microsoft, which positions 1910 as the only biotech/pharma company leveraging Azure Quantum Elements, a groundbreaking, AI-driven, high performance computing (HPC) cloud architecture for advanced AI. Bespoke conversational AI chatbots that provide a customer friendly UI/UX to access our platform for specific drug discovery tasks. Being the only biotech company helping pharma companies integrate 6 core areas of AI infrastructure. Roll up their 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 present 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 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.). The ability to write clean, maintainable, production-quality Python code. Familiarity with MLOps and DevOps best practices. Exposure to distributed computing (Microsoft Azure, University Cluster, etc.). Excellent written and spoken communication skills. 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.). 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 Veteran status. Benefits and Perks Competitive compensation package. Generous vacation and parental leave. Super cool team building activities. Great colleagues. Apply for this job

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