AI Research Scientist

Company Overview1910 Genetics is a Series A stage biotechnology company pioneering a novel Input-Transform-Output (ITO) platform, the first horizontal AI infrastructure for drug discovery.Our ITO platform is distinguished by:Modality-agnostic drug discovery capabilities, designing both small and large molecule therapeutics across all disease areas, initially focusing on neuroscience, oncology, and autoimmune diseases.Proprietary, extensive multimodal data that addresses data scarcity issues hindering frontier AI models in drug discovery.Multi-AI agent systems comprising advanced AI/ML models working collaboratively to optimize multiple parameters in drug discovery and development.A state-of-the-art, fully automated high-throughput wet laboratory in Boston's Seaport District for data generation and validation of drug candidates.A groundbreaking partnership with Microsoft leveraging Azure Quantum Elements, an AI-driven high-performance computing cloud architecture.Custom conversational AI chatbots providing user-friendly interfaces for specific drug discovery tasks.The only biotech firm assisting pharma companies in integrating six core AI infrastructure areas.Role DescriptionPropose and prototype AI and Machine Learning solutions for 1910's design pipeline use cases.Apply productized AI/ML models to advance active drug design campaigns, supported by senior AI research team members.Publish peer-reviewed scientific articles with support from senior team members.Present recent AI research at internal journal clubs.Understand how molecules are processed through the drug discovery pipeline.Collaborate across functions, providing expertise on AI/ML applications in cheminformatics and bioinformatics.Stay updated on cutting-edge AI research in drug discovery.QualificationsPhD in Computer Science, Biology, Chemistry, or related fields.Strong understanding of statistics and classical machine learning methods (e.g., SVM, RF).Experience with advanced deep learning techniques (Transformers, Graph Neural Networks).Proficiency in writing clean, maintainable Python code.Knowledge of MLOps and DevOps best practices.Experience with distributed computing environments (Azure, university clusters).Excellent communication skills.Nice to HavesUnderstanding of molecular processes in drug dustry experience via co-op programs in AI or Drug Discovery.#LI-OnsiteDiversity and Inclusion (1910's Promise)We value diversity, equity, and inclusion, believing they enhance our relevance and resilience. We encourage applicants from all backgrounds and are committed to equal opportunity employment. If accommodations are needed during the interview process, please inform your recruiter. While we support visa sponsorship, opportunities may be limited based on roles and skills.Benefits and PerksCompetitive compensationAbove-market benefitsGenerous vacation and parental leaveTeam-building activitiesCollaborative colleagues #J-18808-Ljbffr

Created: 2025-09-17