$70k - $150k • 0.50% - 1.30%
What do we do?
PostEra offers medicinal chemistry as a service. Drug discovery R&D is slow and expensive and this limits biotechs and pharma from getting new drugs into development and new cures to patients. PostEra is building a one-stop-shop for medicinal chemistry, powered by machine learning, to serve the world's ever expanding community of drug hunters while also leading the world's largest open-science initiative to find a COVID cure; COVID Moonshot.
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.
We are building Manifold; the first-of-its-kind cloud platform for scientists to design and order molecules.
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. Our platform for crowd-sourcing drug designs has received over 15,000 submissions and we're now moving to in vivo testing of the most promising of these compounds.
How are we funded?
PostEra has raised over $2.5m since inception from leading Angel investors as well as several Bay Area VCs.
PostEra offers medicinal chemistry powered by machine learning
PostEra is building a one-stop-shop for medicinal chemistry, to serve the world's ever expanding community of drug hunters while also leading the world's largest open-science initiative to find a COVID cure; COVID Moonshot.
We seek an experienced medicinal chemist willing to work with machine learning scientists and software developers to develop computational platforms that accelerate compound design and synthesis. Applicants will preferably have experience in industrial drug discovery projects.
At least 2-3 years industry experience on medicinal chemistry projects.
A passion for solving complex design and synthesis problems in small molecule drug discovery.
Past experience in the lab doing synthetic chemistry, ideally as applied to drug discovery.
Knowledge of chemoinformatics and computational chemistry.
In depth knowledge of computational tools used for library design and structure based methods such as docking or FEP.
Some experience with programming and Unix. Most importantly, we seek applicants who desire to improve their computational skills and combine them with an in depth knowledge of Chemistry.
Machine Learning - NLP and tree search algorithms as well as Graph CNNs 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.