Data Platform Engineer

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.

The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery. Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture.

The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you. About Iso Isomorphic Labs (Iso Labs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning Alpha Fold 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.

We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design.

Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.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. 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.

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 GCPExperience 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

In addition to the essential qualifications listed above, we also expect successful candidates to have some of the following qualifications:

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…