Job Description

1910 Genetics is the only company that has built a synergistic, dual-purpose small and large molecule platform that integrates artificial intelligence (AI), computation, and biological automation to design drug-like molecules better, faster, and cheaper than traditional approaches. Based in the Seaport District of Boston, 1910 Genetics is a Series A stage biotechnology startup that was founded in 2018 and is backed by prestigious investors, including M12-Microsoft’s Venture Fund, Sam Altman – the CEO of OpenAI (makers of ChatGPT), Playground Global, Y Combinator, New Ventures Funds (Scientia Ventures), and many others. At 1910 Genetics, we first established an understanding of the molecular basis of disease to the granularity at which the world understands sickle cell anemia. This understanding centers biology as our North Star and drives our integration of artificial intelligence (AI), computation, and biological automation to accelerate the design of small molecule and protein therapeutics. Recent advances in computational technologies have placed historically “undruggable” targets within therapeutic reach. But at 1910 Genetics, we often say “Biology is King,” meaning that computational technologies are only impactful in drug discovery when driven by experimental biology. Our platforms’ scale and breadth empower us to be therapeutic area-agnostic with programs ranging from neuroscience and immunology to infectious disease and oncology, to name a few. You are someone we can count on to… Act as both an Individual Contributor (IC), who can roll up her sleeve, and play an important role in our mission to use AI/ML to develop drugs against historically difficult disease targets, as well as a Leader who can build and grow the Computational Chemistry team. You will own… All aspects of the company’s computational chemistry efforts across therapeutic modalities, disease targets, and indications. Implementation of computational chemistry toolkits (e.g. MOE, MolSoft, OpenEye, Schrodinger) to run virtual screening campaigns to rapidly identify drug candidates for further development. The process for proactively seeking and incorporating input from Medicinal Chemists into virtual screening campaigns to arrive at virtual hits with high probability of synthesis and clinical utility. Effective collaboration with the ML Engineering and AI Research team by providing key computational chemistry insights to aid in the development of AI/ML models for drug discovery. The growth of the Computational Chemistry team. You will teach… Key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology. You will learn… Medicinal Chemistry. AI/ML applied to drug discovery. You will improve… Our existing process for progressing from computational hit to experimental hit to lead to drug candidate. Within 1 month you will… Propose a few hundred virtual hits to the Medicinal Chemists for synthesis. Within 3 months you will… Progress a virtual hit to a biochemical/cellular hit. Co-author provisional patents on hit scaffolds. Within 6 months you will… Validate a cellular hit in a clinically relevant animal model of disease. Update provisional patents with the animal model data. Within 12 months you will… Nominate a lead candidate for progression into IND-enabling studies. Grow the Computational Chemistry team. Compensations & benefits Extremely generous equity package coupled with competitive salary. #J-18808-Ljbffr 1910genetics

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