
DeepMirror is a drug discovery platform that combines human ingenuity with AI to accelerate the identification of promising drug candidates. Their core product, the DeepMirror App, features a…

DeepMirror is a drug discovery platform that combines human ingenuity with AI to accelerate the identification of promising drug candidates. Their core product, the DeepMirror App, features a…
What they do: AI-powered web platform for generative molecular design and predictive property models to accelerate drug discovery
Founders / leadership: Dr. Max Jakobs (CEO), Dr. Andrea Dimitracopoulos (CPO), Dr. Ryan Greenhalgh (CTO)
Founded: 2019 (University of Cambridge spin-out)
Recent funding: $2.4M pre-seed / seed (reported)
Team size: ~12 employees
Drug discovery — hit-to-lead and lead optimisation
2019
Biotechnology Research
$2.4M
Round matched with an Innovate UK Investor Partnership grant; participation from Saras Capital, a US-based stealth VC, and angel investors reported
“Innovate UK participation (Investor Partnership grant) and Twin Path Ventures lead”
deepmirror empowers chemists to design better drugs faster with AI. Access to data and expertise are the main barriers for AI in drug discovery. We have built an intuitive co ideation platform on which computational and medicinal chemists can access high quality data to build powerful AI models for their drug programs. Since launching in 2023, our platform is now used by hundreds of chemists across the globe to impact real world drug programs. Now, we are looking for an experienced product engineer to supercharge our product.
In this role, you will design and develop production-grade software that powers AI-driven drug discovery. This is an outstanding opportunity for someone who wants to be involved from day one of the start-up journey and who wants to put new processes into place to build a powerful platform in a high-performing and collaborative team, based in beautiful Victoria House in the heart of London.
As part of the product team, you will work across the full stack to integrate advanced algorithms into core services, ensuring they are production-ready, scalable, and seamlessly embedded in the platform. Leveraging your expertise in product engineering, we encourage you to seize the opportunity to be independent and drive innovation and quality. In the role, you will have substantial growth opportunities, allowing you to shape deepmirror's technological framework from its inception and learn in an interdisciplinary environment at the interface of physics, chemistry, biology, and machine learning.
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Should I apply?
We want to be upfront about what it is like to work at deepmirror and thought hard about the principles that guide our work. Before you apply, let's dive into how our values influence the way we work as a team and ensure they resonate with you.
We Persevere:
We believe that great work comes from dedication, continuous learning, and pushing boundaries. We trust you to manage your time in a way that helps you develop your skills while contributing to impactful projects. If you thrive on learning and enjoy challenging yourself, you'll fit right in.
We Care
We love what we do and deeply care about our product, customers, and colleagues. We thrive as a collaborative team where everyone is willing to go the extra mile for our customers. We create an environment where asking for support and extending a helping hand are equally valued. Be part of something big and contribute to a culture of support, customer focus, and shared ambition.
We Own
Nobody will dictate how you do things, but you will be held accountable for the impact of your work, as we value outcomes over outputs. If you thrive in an environment where you take responsibility, solve problems proactively, and drive your own success, you will do well here.
At deepmirror, you will challenge yourself, be supported, and be given the freedom to excel. Join a team where striving, caring, and ownership are not just values but a way of life. If this resonates with you, deepmirror could be your next big adventure—read on for the 'boring' bits.
You will:
Requirements
Nice to have
If you meet at least 60% of the requirements or nice-to-have qualifications, we encourage you to apply.
Benefits