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1910genetics

Postdoctoral Fellow, Assay Biology

1910genetics, Boston, Massachusetts, us, 02298


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 Biochemistry & Structural Biophysics teamYou will own…

All aspects of the company’s biochemistry and structural biophysics effortsDevelopment and implementation of automated biochemical and cell based HTS assays, spanning both target based and phenotype based screensStrict adherence to the NIH NCATS Assay Guidance Manual for automated HTS of drug candidatesAll wet lab experiments required to characterize potential drug candidates including protein purification, structure determination via X-RC or CryoEM, binding characterizations (e.g. SPR)High quality data analysis and statistical interpretation and reportingThe growth of the Biochemistry & Structural Biophysics teamYou will teach…

The NIH NCATS Assay Guidance Manual and HTS success criteria to your cross-disciplinary colleagues from Medicinal Chemistry, Computational Chemistry, AI Research, and Machine Learning EngineeringYou will learn…

Computational and Medicinal ChemistryAI/ML applied to drug discoveryYou will improve…

Our adherence to the NIH NCATS Assay Guidance ManualOur existing process for progressing from computational hit to experimental hit to lead to drug candidateWithin 1 month you will…

Validate one biochemical target-based HTS assay according to the NIH NCATS Assay Guidance ManualScreen a few hundred computational hitsCo-author provisional patents on successful hitsWithin 3 months you will…

Validate one cellular target based HTS assay according to the NIH NCATS Assay Guidance ManualValidate one biochemical phenotype based HTS assay according to the NIH NCATS Assay Guidance ManualScreen a few hundred computational hitsCo-author provisional patents on successful hitsWithin 6 months you will…

Validate a biochemical or cellular hit from a target based screen in a clinically relevant animal model of diseaseValidate one cellular phenotype-based HTS assay according to the NIH NCATS Assay Guidance ManualScreen a few hundred computational hitsCo-author provisional patents on successful hitsWithin 12 months you will…

Nominate a lead candidate for progression into IND-enabling studiesGrow the Biochemistry & Structural Biophysics teamExtremely generous equity package coupled with competitive salary

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