Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease.

About Iso
Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases.

Your Impact
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 bio-pharmaceutical 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.

What you will do
Depending on your experience and background, you can be expected to work on one or more of the following domains:

• Software engineering of data services for data storage and integration layers
• Ingestion, transformation and serving of scientific data for scientific applications
• Building a state-of-the-art platform for conducting research with high velocity and reliability
• Collaboration with scientist and ML researchers on project work

Skills and qualifications
Essential

• Experience in data engineering and service-oriented architectures
• Extensive software engineering experience with software design and architecture skills
• Extensive enterprise programming experience writing production code using Python
• Experience building, deploying, and maintaining secure and scalable production systems on GCP
• Experience with Kubernetes and cloud computing
• 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

Nice to have

• Experience with the management of scientific and experimental wet lab data in a pharma context
• Experience with life sciences data, including bioinformatics, computational chemistry, and biomedical research data
• Experience building backend systems for web applications, using technologies such as Django, SQLalchemy, Pydantic, PostgreSQL, DBT
• Experience designing, implementing and maintaining relational data models with Python-based interfaces
• Hands-on experience with cloud engineering in a compute-heavy environment, preferably on GCP

Culture and values
We are guided by our shared values: Thoughtful, Brave, Determined, and Together. We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive.

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).

We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition or any other basis protected by applicable law.