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-Microsofts 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.
The Director of Search & Evaluation would be a core member of the Business Development team and would blend a strong scientific background with an impressive track record of sell-side Search & Evaluation experience that has resulted in transformative strategic partnerships for biotech companies who are selling platforms, technologies, drug assets, etc. to pharmaceutical companies.
The ideal individual would partner with all scientific and technical teams at 1910 Genetics (AI Research, ML Engineering, Software Engineering, Computational Chemistry, Medicinal Chemistry, Biology, Pharmacology, Preclinical Development) to extract the key differentiation of 1910s platforms, develop it into a coherent narrative, position it in the ever-evolving AI for drug discovery competitive landscape, and strategically sell 1910s platforms to stakeholders of any audience (scientists, business executives, etc.).
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