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Computational Chemist I

1910genetics

Boston (MA)

On-site

USD 80,000 - 140,000

Full time

30+ days ago

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Job summary

An established industry player in biotechnology is seeking a talented computational chemist to join their innovative team. This role involves leveraging AI and machine learning to tackle historically challenging disease targets through computational chemistry. You'll collaborate closely with medicinal chemistry and biology teams, guiding the development of drug candidates from virtual hits to clinical validation. The position offers a unique opportunity to contribute to groundbreaking research while learning from experts in the field. Join a dynamic startup environment where your insights will shape the future of drug discovery and development.

Benefits

Generous equity package
Competitive salary

Qualifications

  • Ph.D. in Chemistry with 2+ years of experience in computational chemistry.
  • Proficiency in AI/ML and collaboration with cross-disciplinary teams.

Responsibilities

  • Own computational chemistry programs across various therapeutic modalities.
  • Collaborate with teams to provide insights for drug discovery.

Skills

Computational Chemistry
AI/ML
Medicinal Chemistry
Biochemistry
Biophysics
Collaboration Skills

Education

Ph.D. in Chemistry

Tools

MOE
CCDC
Cresset
Microsoft Office Suite
G-Suite

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...
  • Roll up your sleeves as an Individual Contributor (IC) and play an important role in our mission to use AI/ML to develop drugs against historically difficult disease targets.
You will own…
  • Computational chemistry programs across therapeutic modalities, disease targets, and indications.
  • Implementation of computational chemistry toolkits (e.g., MOE, CCDC, Cresset) to run virtual screening campaigns to rapidly identify drug candidates for further development while proactively seeking and incorporating input from Medicinal Chemistry.
  • Effective collaboration with the Biology and Medicinal Chemistry teams by providing key computational chemistry insights to aid in the Hit-to-Lead and Lead Optimization phases of drug discovery operations.
  • 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 as well as the incorporation of those models into drug discovery operations.
You will learn...
  • Medicinal Chemistry.
  • Biochemistry and biophysics.
  • AI/ML applied to drug discovery.
  • Existing tools, systems, and processes that currently support the 1910 Genetics 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 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.
Ideally, you have…
  • Ph.D. in chemistry.
  • 2+ years of postdoctoral or industrial experience.
  • Proficiency with the Microsoft Office Suite (Excel, Word, PowerPoint, Teams), G-Suite.
  • Extremely generous equity package coupled with competitive salary.
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