Senior Software Engineer, Isomorphic Labs
More information about location
3 days a week in office
AI-driven drug discovery and development
Open for applications
AI-driven drug discovery and development
201-500 employees
Open for applications
More information about location
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
- Strong software engineering experience with software design / architecture skills
- Extensive enterprise programming experience writing production code using mainstream programming languages such as Python, Java, C++ or Go
- Experience with Kubernetes and cloud computing
- Experience building secure/scalable platforms/products on cloud
- Demonstrated ability to work in multi-disciplinary teams and environments
- Great degree of adaptability and a willingness to work across domains and different parts of the tech stack when needed
- Demonstrate ongoing career progression / trajectory and a passion for learning
- Msc in computer science, or equivalent experience
Desirable
- Expertise in Python
- Experience with the management of scientific and experimental wet labs data in a pharma context
- Experience building backend systems for web applications, using technologies such as Django, SQLalchemy, Pydantic, PostgreSQL
- Experience designing, implementing and maintaining relational data models with Python-based interfaces
- Experience developing frontend applications in a scientific context
- Experience building, optimizing and productionizing large scale deep learning models
- Hands-on experience with cloud engineering in a compute-heavy environment, preferably on GCP
- Hands-on experience optimizing the use of fleets of hardware accelerators
- Experience with low level hardware specific optimization for deep learning
- Experience with life sciences data, including bioinformatics, computational chemistry, and biomedical research data
What the job involves
- We are looking for outstanding software engineers to work on different aspects of our ML-based software platform such as: data, backend and fullstack engineering, ML engineering, as well as technical and cloud infrastructure
- We are keen on receiving applications from individuals falling at the intersection of one or more of these fields
- This is an exciting opportunity for versatile software engineers to be working in a fast-paced and research-facing environment within a small team
- You will contribute significantly to a world-class ML-based software platform set to transform the biopharmaceutical world
- We need creative thinkers ready to redefine how drugs are designed with the power of AI
- Working in a highly creative, iterative environment, you will be partnering with leading engineers, scientists and ML researchers to build the critical platform driving that transformation
- This is a newly created role and you will need to use your previous experience and show initiative in order to fully carve out your contribution
- Ingestion, management and serving of scientific data
- Backend and fullstack engineering for the buildout of scientific applications and scientific data management applications
- Building a state-of-the-art platform for conducting ML research with a high velocity and reliability
- Building key MLOps components for transferring models from research to production at scale
- Working on low-level performance optimization to increase the efficiency and performance of ML models and infrastructure
- Optimizing and maximally leveraging our compute resources and fleet of accelerators for large scale training and inference
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 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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