Software Engineer, Isomorphic Labs
Reliability Engineering
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
- Experience with on Google Cloud Platform or other cloud-based platforms
- Experience with monitoring & alerting systems
- Experience with Docker, Kubernetes, Terraform and at least one major Cloud Platform
- Experience with CI/CD, Release management and DevOps related technologies
- Experience with Grafana/Prometheus/Splunk or similar monitoring/observability technologies
- Comfortable with Shell Scripting and Python programming (or other programming languages)
- Experience building secure/scalable platforms/products on cloud
- Practical experience with modern SRE lifecycle, tools, and frameworks
Desirable
- Experience building, deploying and maintaining production systems on GCP
- Worked with large scale ML operations
- Strong foundations in software engineering before moving into a technical operations role
- Experience supporting both production systems and Machine Learning team/pipelines
- Comfortable with identifying security and performance risks and implementing measures to mitigate them
- MLOps frameworks and tooling experience are highly desirable
- Basic knowledge of biology / chemistry
- Pharma and/or biotech experience, ideally with a focus on drug discovery
- Bachelor’s degree in Computer Science, a related technical field, or equivalent experience
What the job involves
- We are building the largest foundation models in biotech and we’re immediately applying them to directly cure disease
- You will play a key role in making sure that our model training is reliable and we accelerate our progress with scaling the models and its usage
- You will also build tools and processes to continue the scaling
- Contribute to the technical strategy for consistently improving the reliability for our training runs
- Build and operate processes and tools for effective software development practices
- Build and operate processes and tools for effective operational management of research and production software
- Operate and handle research, development, and production cloud infrastructure and systems
- Partner and collaborate with a diverse set of teams incl. science, research, product, business development and operations
- Contribute to core technical decisions (e.g. choice of tooling, infrastructure, and architectural design)
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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