Data Platform Engineer, AI-Driven Drug Discovery

Isomorphic Labs; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Isomorphic Labs, a London-based frontier AI company, is hiring versatile software engineers to drive a world-class ML-backed platform for drug discovery. You will contribute to data services, ingestion pipelines, and scalable production systems while collaborating with scientists and ML researchers.

The role requires expertise in Python, data engineering, and cloud environments, with a hybrid work model and a culture of learning and collaboration.

Qualifications

• 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 willingness to work across domains and different parts of the tech stack.
• Demonstrate ongoing career progression / trajectory and a passion for learning.
• MSc in computer science, or equivalent experience.

Responsibilities

• 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

Data engineering

Python

Kubernetes

GCP

Cloud computing

Multi-disciplinary teamwork

Adaptability

Learning mindset

Education

MSc in computer science

Tools

Django

SQLAlchemy

Pydantic

PostgreSQL

DBT

Job description

Isomorphic Labs, a London-based frontier AI company, is hiring versatile software engineers to drive a world-class ML-backed platform for drug discovery. You will contribute to data services, ingestion pipelines, and scalable production systems while collaborating with scientists and ML researchers.

The role requires expertise in Python, data engineering, and cloud environments, with a hybrid work model and a culture of learning and collaboration.