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The drug discovery process is too slow. One of the key roadblocks lies in synthesis planning — designing how to make a molecule selected as a potential drug candidate. We are on a mission to speed up the drug discovery process by rapidly designing reliable synthesis pathways using artificial intelligence. In other words, we tell chemists how to make molecules they want to make.
We have already developed one of the best synthesis planning tools on the market. To build on this success, we have recently set up our high-throughput organic chemistry laboratory to close the loop between data and our machine learning models. Because of this, we have a unique opportunity to leverage the real laboratory data to improve the AI that tackles chemistry. We are constantly innovating - you can read more about our work in these papers.
Chemistry and AI are the two pillars of our platform and user experience is the third. Most existing tools for scientists have obsolete, clunky interfaces. We’re aiming to deliver modern and intuitive user experience that encourages exploration.
<aside> ☝ Our engineering team works on lots of different problems. We don’t expect you to be interested in all of them.
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You’ll be given lots of independence while working in a cross-disciplinary team full of smart (and nice!) people. You’ll be reporting directly to our VP of Engineering and/or one of our project leads.
While we don’t believe in years of experience, we’re looking for someone who’s able to work without much supervision, which in turn requires certain level of technical prowess, maturity and responsibility.