Michael Schaarschmidt

Today we announced our $2.1 Billion funding. This is the catalyst that will bring us to a future of medicine with the power of AI. And we are just getting started, come join our mission.

“It’s a major advance, on the scale of an AlphaFold4. The problem, of course, is that we know nothing of the details.” Isomorphic Lab’s proprietary drug-discovery model is a major advance go.nature.com/3ZKvhLH

If you want to work at the absolute frontier of molecular foundation models: I am hiring for the structure team, get in touch!

Today we share a technical report demonstrating how our drug design engine achieves a step-change in accuracy for predicting biomolecular structures, more than doubling the performance of AlphaFold 3 on key benchmarks and unlocking rational drug design even for examples it has never seen before. Head to the comments to read our blog.

We’re thrilled to be embarking on a new research partnership with Johnson & Johnson, joining forces to apply @IsomorphicLabs’ multi-modal drug design engine across both small molecules and biologics. In this work we are going to be taking on some of the toughest challenges in drug design together, to unlock new ways to treat diseases that have been considered out of reach. bit.ly/4b2WRL2 @JNJInnovation

We’re hiring at MLSys 2025! Isomorphic Labs is reimagining drug discovery with the power of AI, and we’re building a world-class MLOps team to do it. Join us as a Machine Learning Performance Engineer to help scale our cutting-edge models that will shape the future of human health. We're looking for: ▪︎ Strong working knowledge of HPC and ML Systems. ▪︎ Good understanding of GPU and other AI accelerator architectures. ▪︎ Strong knowledge of data structures and algorithms. ▪︎ Good working knowledge of maths / linear algebra. ▪︎ Experience with deep learning ML frameworks (preferably JAX). ▪︎ Excellent collaboration skills. You’ll build efficient, scalable infrastructure that powers some of the most advanced drug design models in the world, working alongside world-class researchers and engineers. Learn more about the role: bit.ly/3EWWWSM Register to connect with us at the link below: bit.ly/4m3M2eK #MLSys2025 #IsomorphicLabs

@IsomorphicLabs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. We are thrilled to announce $600 million of investment raised in a round led by @ThriveCapital with participation from @GVteam and our existing investor, Alphabet. Find out more here: bit.ly/42cnRlg

We are excited to announce the expansion of our collaboration with @Novartis, doubling the number of research programs just over a year after initiating our partnership. This expansion is testament to the great progress we’ve made together and further unlocks the potential to ultimately advance human health. Read more here: bit.ly/4i669WZ #AI #drugdiscovery #machinelearning

Calling ML research engineers, we are hiring! Expedite the process by meeting the hiring managers @_joanna_yoo, @fiskio & Oliver Osborne at @NeurIPSConf 2024. Learn more about the opportunity here: bit.ly/40Vo4tR #ai #drugdiscovery #NeurIPS2024

Next gen alphafold, future generative models, holy-grail models for drug design, and agents for actual science. I’m looking for builders to join our incredibly talented ML scientists and engineers at @IsomorphicLabs to create the future of drug design job-boards.greenhouse.io/isomorphiclabs…

@IsomorphicLabs is seeking strong machine learning engineers to tackle complex, real-world challenges in drug discovery. If you're passionate about applying your ML expertise to impactful problems, let's chat! 😀 boards.greenhouse.io/isomorphiclabs…

Really cool to see the huge engagement surrounding AlphaFold 3 and the structures scientists are posting. We’re working to release the AF3 model (incl. weights) in the next 6 months for academic use, so it won’t depend on our research infra. Also the AFServer job limit is now doubling to 20 per day.

With AlphaFold 3 we can now create and test hypotheses at the atomic level, and produce highly accurate structure predictions within seconds. Find out how we got here and how we’re using it to transform drug discovery: bit.ly/4a5o3EM

DeepMind spin-off aims to halve drug discovery times following Big Pharma deals on.ft.com/3NWHp6P

We are thrilled to announce our pharma collaborations with @EliLillyandCo & @Novartis, which combined are potentially worth nearly $3 billion and testament to the promise of our AI-first approach to drug design. Read more here: bit.ly/3TUIaB5 #AI #drugdiscovery

Excited to show a glimpse of the next generation of AlphaFold from our teams at @IsomorphicLabs and @GoogleDeepMind. This model expands beyond proteins to include other molecules like small molecules and nucleic acids, and improves accuracy on proteins 1/n bit.ly/45Qt4yT

Very pleased to share our latest paper, and the first by our student Tonny Lou, showing how the FermiNet can be used to study the Fermi gas, a model system for superconductors and superfluids! arxiv.org/abs/2305.06989

Going to @ICLR_Conf next week? 🌐 We’ll be presenting our latest research on: 🔵 Progress and challenges on the path to artificial general intelligence 🔵 Ways to train AI models more efficiently 🔵 How AI is accelerating science And much more: dpmd.ai/iclr-2023 #ICLR2023

“It's both humbling and exciting to adopt a beginner’s mindset” - Our Chief Scientific Officer @MilesCcc explores how we’re learning from each other whilst working towards our shared mission at Iso. Read more here: bit.ly/3V3dSdS #MachineLearning #AI #DrugDiscovery

“Once in a lifetime or never” - Our Chief Technology Officer, Sergei Yakneen @SergeiIakhnin reflects on how far our team has come in the last year, and discusses his own journey to Isomorphic Labs. Read more here: bit.ly/40f83fG #AI #MachineLearning #DrugDiscovery