Software Engineer (Data Services), London

Responsibilities

• 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

Requirements

• 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
• 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 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. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it.
• 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 d

Benefits

Additional Information

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 (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. 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.

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