We’re looking for someone who wants to use their ML expertise to make progress on fundamental questions in biology, and at the same time have a large impact on the problem of climate change.
EnginZyme is a Swedish startup founded in 2014 that is creating a new, sustainable way of producing both the current building blocks of the world — the billion tonnes of plastics, nylons, rubbers, and all the other things that we touch on a day to day basis — as well as completely new molecules and materials. It has been estimated that 60% of physical inputs to the global economy could be produced by biological means, and we’re on a mission to turn that theory into practice.
A core part of what we do is making stable enzymes. Enzymes are proteins, and you have probably heard about the recent AlphaFold result about how proteins fold, i.e. how to make a particular sequence of DNA turn into a particular three-dimensional shape. We’re addressing the problem that comes after that: how to make proteins that keep their shape in the face of stressors, such as variations in temperature or pressure. This problem is important for many reasons, but in our case it matters because stable proteins can be used to drastically decrease the cost of sustainable production.
There’s evidence that this problem is on the verge of a breakthrough, just like the protein folding problem, and due to proprietary data and world-class expertise, we believe that we at EnginZyme is well positioned to solve it. You’ll be at the very heart of this effort.
What you’ll do
Our enzyme engineering team works to address the challenges of enzyme discovery, characterisation, and engineering of extremely stable enzymes. We already use state-of-the-art computational methods for designing improved enzymes, and with your help we’ll go even further.
Key tasks and responsibilities are:
The position is based in Stockholm and may include some traveling for development and training purposes.
Who you are
Due to the steep learning curve in the life sciences, most ML researchers in biology are biology/chemistry PhDs who have learned ML on the side and lack the mathematical foundation to make deep contributions. We want someone who comes at it from the other end. If you have a background in biology or chemistry that is a huge plus, but the most important thing is that you are an expert ML researcher at the top of your abilities.
We’re looking for someone who is willing to jump in at the deep end and learn about a new field, and then reap immense rewards from the comparative advantage their ML background gives them. Although we think this probably means a PhD in computer science, physics, computational chemistry or a similar field, this is not a requirement. What’s important is that you have a proven ability to do world-class ML research.
In terms of personal qualities, we’re looking for someone who is deeply curious, passionate about their research, and who gets things done without anyone telling them to. And, not least, who is also a friendly, cooperative person.
If this describes you, you’ll fit in with the rest of the team!
What we can offer you