An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Mytos is seeking a Junior/Mid level Software Engineer to contribute across a cloud-based full-stack product and IoT devices used to manufacture cells. You’ll work on frontend and backend systems, enabling researchers and doctors worldwide with reliable, scalable tools.
You’ll collaborate with hardware engineers, biologists, and commercial teams, learning testing methods, architecture, and infrastructure while shipping features for real-world impact.
About Mytos You rarely get the chance to change an entire industry. But that's the position we find ourselves in. Join us, and you’ll unleash scientists, accelerate their research and help get cures to patients sooner. We’ve developed machines to fully automate human cell production - the most manual process in Biotech. Cells are used to discover and develop new drugs, and now they're being used to cure diseases like Parkinson’s and age-related blindness. Mytos will impact cure development across the board. We're live in multibillion dollar biotechs on both coasts of the US, and raised $19m to expand into the market faster, and accelerate our development! Next year, neurons grown on our machines will be going into Parkinson patient brains. We’ve assembled a world-class team to take on this challenge, with ex-Dyson engineers and Nature-published scientists working hand-in-hand. You can learn more about your potential Mytos teammates here: Team Mytos is backed by Y Combinator, the most successful startup program in the world which produced companies such as AirBnb, Dropbox, and Ginkgo Bioworks.
As a Junior/Mid level Software Engineer (depending on experience) you’ll be contributing across all areas of our full-stack product based in the Cloud, and our IoT devices that interface with Mytos hardware to manufacture cells. You'll contribute across a variety of technologies and paradigms, leaning how to research, design, implement, maintain, and evolve product functionality giving users powerful tools to customise and monitor cell growth protocols. Your work will directly impact how quickly and effectively new therapies and research tools can be developed, ultimately helping patients worldwide.
Every engineer gets an AI tools budget. Pick what makes you faster. AI and its tooling keep getting better. We want to keep getting better at using it to ship quality code.
So we keep an eye on the latest developments, and we try out & share workflows across the team. You'll find a setup that fits how you work. Right now, our team runs on Linear, and most of us use Claude Code. We’re trialling AI review platforms and low-friction cloud agents to tighten the loop from ‘needs doing’ to ‘shipped code’.
Our company knowledge base is Notion — perfect for AI information retrieval and document drafting.
The bar for quality doesn't drop because AI wrote the first draft. You own your code, you understand it, and you can stand behind every line - whoever or whatever typed it.