Full Stack Software Engineer, Isomorphic Labs
3+ days a week in office
AI-driven drug discovery and development
Posted today
AI-driven drug discovery and development
201-500 employees
Posted today
3+ days a week in office
201-500 employees
Company mission
To use AI and machine learning methods to accelerate and improve the drug discovery process.
Role
Who you are
- Proven experience building web applications and working in rapid iterative environments
- Demonstrable experience leading software projects or in a technical leadership role
- Proven experience writing production code in a mainstream language, ideally TypeScript or Python
- Strong software engineering and design skills, from UI to databases
- Knowledge of data storage modelling paradigms and trade-offs
- Familiarity with cloud infrastructure
- Either a Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
- Enthusiasm to learn about chemistry and biology
Desirable
- Hands on experience with Python / Typescript / Postgres / GraphQL / Kubernetes / React
- Basic knowledge of chemistry / biology
- Experience developing internal tools
- Knowledge of the pharmaceutical industry, ideally with a focus on drug discovery
- Experience with Google Cloud Platform
What the job involves
- In the Product Engineering team we help scientists leverage the latest drug design capabilities and accelerate their workflows by providing tools and insights at each step of the drug discovery pipeline
- As a part of this team you will be working on developing various aspects of our world-class AI-powered drug design platform
- You will be working in a highly creative, iterative environment, alongside engineers, scientists and ML researchers to develop a world-class product, with collaboration across both our London and Lausanne offices
- We’re still at a relatively early stage in our journey, with a level of ambiguity as we continuously learn from each other, so you will need to build on your previous experience and show initiative in order to fully carve out your contribution in this newly created role
- Design and develop software products to solve real-world scientific user needs
- Collaborate with scientific end-users to understand their domain and requirements
- Partner with the Product team to design compelling and intuitive user experiences
- Architect cloud-native applications, workloads and libraries
- Model data in transactional and analytical data stores
- Contribute to the design/implementation of web application interfaces
- Collaborate with multiple other engineering teams to deliver the best results
Salary benchmarks
Our take
The discovery of new drugs is essential for medical innovations, but the process is lengthy, high-risk, and expensive. This is due to manual research and analysis processes that are prone to human error and time-consuming workflows, raising the question as to whether AI could reduce these pitfalls.
Rather than bolting machine learning onto the existing drug discovery process, Isomorphic Labs is reimagining everything from first principles with an AI-first approach, leveraging machine learning to build predictive and generative models of biological phenomena to understand how novel drugs could perform. And the company differentiates itself from other AI-driven drug discovery startups by being a direct subsidiary of Alphabet, with access to resources, computing power, and partnerships with teams within DeepMind.
Now, the company is gearing up for its biggest leap yet - testing its AI-designed medicines on real people. After years of development, big-name partnerships, and a $600M funding round, Isomorphic says human clinical trials are finally within reach. In its London offices, scientists and AI are already teaming up to design potential treatments for diseases like cancer. The next step is putting those drugs to the test.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
30% female employees
Company
Funding (1 round)
Mar 2025
$600m
LATE VC
Total funding: $600m
Company benefits
- Hybrid working: It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call
Company values
- Thoughtful: Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day
- Brave: Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less
- Determined: Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we
- Together: Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere
Company HQ
London, UK
Articles
Leadership
Demis Hassabis
(Co-Founer & CEO)Co-founded Google DeepMind in 2010 and has served as the CEo ever since.
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