Computational Chemist at PostEra (W20)
$120k - $180k  •  0.10% - 0.20%
Medicinal Chemistry powered by Machine Learning
Boston, MA
Full-time
3+ years
About PostEra

PostEra offers Medicinal Chemistry powered by Machine Learning

PostEra offers medicinal chemistry powered by machine learning. Drug discovery R&D is slow and expensive and this has limited the biopharma industry from getting new drugs into development and new cures to patients. PostEra is building an end-to-end med chem platform, powered by ML, to develop new cures for diseases and serve the world's ever expanding community of drug hunters.

We've raised $26M from top tech/healthcare investors and signed large multi-year deals with companies like Pfizer and the NIH to find new cures for diseases.

What are we working on?

The answer is many things but here's our top priorities right now:

  • Partnerships: We partner with drug hunters and help them get cures to patients faster. We're currently collaborating with Pfizer and several small biotechs, using all of PostEra's ML to help their drug discovery.
  • Manifold: The first-of-its-kind SaaS platform for scientists to get molecules made.
  • COVID Moonshot: PostEra is helping lead the world's largest open-source drug discovery effort. Moonshot is an international team of scientists working on an antiviral cure for COVID and in 1 year we've gone from ideas on a website to potent compounds which should soon be ready for human trials.
About the role
Skills: Machine Learning, Biotechnology, Medicinal chemistry

What is the Role? A computational chemist with familiarity in structure-based design and chemoinformatics, who will help drive drug discovery projects. In addition to working on projects, you will work closely with medicinal chemists and software developers to develop computational platforms that accelerate compound design and synthesis.

Required

  • PhD in computational chemistry, chemoinformatics, medicinal chemistry, or a related discipline.
  • At least 3 years of experience in biopharma
  • Experience with using (preferably open source) computational chemistry/chemoinformatics tools, e.g. RDKit, OpenMM, AutoDock Vina, as part of a small-molecule drug discovery campaign.
  • Knowledge of computational chemistry techniques such as MD (including FEP), and docking
  • Strong scientific programming skills using Python.

Desired

  • Familiarity with machine learning and deep learning approaches to molecule design and property prediction.
  • Experience in working with engineers to create cloud-deployable chemoinformatics/computational chemistry workflows.

About PostEra

PostEra offers medicinal chemistry powered by machine learning

PostEra is a Y Combinator-backed company using machine learning, applied to medicinal chemistry, to expedite the discovery of new drugs and get new cures to patients.

What are we working on?

The answer is many things but here's our top priorities right now:

  • Partnerships: We partner with drug hunters and help them get cures to patients faster. We're currently collaborating with Pfizer and several small biotechs, using all of PostEra's ML to help their drug discovery.
  • Manifold: The first-of-its-kind SaaS platform for scientists to get molecules made.
  • COVID Moonshot: PostEra is helping lead the world's largest open-source drug discovery effort. Moonshot is an international team of scientists working on an antiviral cure for COVID and in 18 months we've gone from ideas on a website to compounds which should soon be ready for human trials preparation.
Technology

Machine Learning - NLP and tree search algorithms as well as Graph NNs and broader statistical tools like PCA.

Tech Stack - Django back-end with React front-end all on AWS for our web development. High-performance languages (C++) and Postgres databases.

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