Platform Engineer in Cambridge

At Insmed, every moment and every patient counts — and so does every person who joins in. As a global biopharmaceutical company dedicated to transforming the lives of patients with serious and rare diseases, you’ll be part of a community that prioritises the human experience, celebrates curiosity, and values every person’s contributions to meaningful progress.

About the Role:

Here at Insmed Cambridge we are building a cutting-edge wet-lab and computational platform to develop therapies for rare genetic diseases. We are looking for an exceptional Platform Engineer who combines strong full-stack software development skills with solid DevOps and cloud infrastructure capabilities. As part of the Informatics and Data Science team, you will both build the bioinformatic web-ecosystem that empowers our scientists and help build, automate and maintain the cloud infrastructure that our platform runs on. You will work in close collaboration with platform developers, DevOps, bioinformaticians, human geneticists, machine learning/data science specialists, wet lab scientists, as well as our central cloud, security and IT teams.

What You'll Do:

• Platform Development: Be a key contributor in a dynamic, multidisciplinary team to help shape the future of data exploration and interpretation at Insmed. Contribute to the design and implementation of a flexible bioinformatic web-ecosystem empowering our wet-lab scientists and data scientists to get more out of their data. Engineer, optimise and validate internal pipelines to be flexible, scalable and configurable while maintaining production-quality standards. Promote data integrity and responsibility by employing best practices for data handling and storage, enabling broad-scale analyses. Liaise with stakeholders and external collaborators.
• DevOps & Infrastructure: Develop, deploy, and maintain our cloud-based applications and services empowering our science teams. Develop and deploy applications and data workflows on the organisation's cloud platform. Build and deploy containerised workloads onto the organisation's managed Kubernetes platform. Manage CI/CD pipelines, builds and Docker images (GitHub + GCP). Script and automate common cloud and deployment tasks. Support machine learning model deployment, training and inference.

Who You Are:

• A degree (or equivalent experience) in computer science, engineering, bioinformatics, biology, machine learning, statistics or a related field.
• Full-stack development experience, with strong coding skills in Python.
• Experience in life-sciences applications, workflows, and systems in the fields of drug development, cheminformatics, or bioinformatics.
• Strong JavaScript development skills – preferably Svelte.
• Experience designing, maintaining, and interfacing with SQL databases – preferably PostgreSQL.
• Experience with cloud environments (especially GCP).
• Experience with Docker and container-based workflows.
• Experience with CI/CD pipelines (GitHub Actions).
• Experience with version control using git, with familiarity of different branching and merging strategies.
• Experience coding within a team.
• Excellent communication skills to collaborate with our computational, IT, and laboratory science teams.

Desirable but not essential:

• Experience with Kubernetes cluster setup, deployment and management.
• Experience deploying machine learning models and optimising deep-learning model training on GPUs.
• Experience working with Pydantic & SQLAlchemy.
• UI/UX experience.
• Experience with Nextflow or other bioinformatics workflow languages.
• Experience with ArgoCD and Argo Workflows.
• Working knowledge of infrastructure-as-code using Terraform.
• Familiarity with event queues.
• Experience integrating external cloud services, systems, and applications.
• Experience developing tools for drug discovery.

Life at Insmed:

Our research site in Cambridge, UK is situated in brand new labs and offices at the Babraham Research Campus—a leading hub for bioscience innovation and collaboration. Our team of biologists, human geneticists, bioinformaticians, data scientists, computational and synthetic chemists bring together a wide range of technologies and modalities to deliver powerful new ways of treating serious diseases.

At Insmed, you’ll find a culture as human as our mission—intentionally designed for the people behind it. You deserve a workplace that reflects the same care you bring to your work each day, with support for how you work, how you grow, and how you show up for patients, your team, and yourself. Our offerings include:

• Flexible work schedules with purposeful in-person collaboration
• Competitive retirement benefits, global equity awards, and participation in our Employee Stock Purchase Plan (ESPP)
• Career development through the Insmed Learning Institute, external programs, LinkedIn Learning, and role-specific training
• AI-powered and on-demand learning tools, including a digital assistant to help navigate internal resources
• Hybrid-friendly technology and IT support for seamless teamwork across locations and time zones
• Global recognition programs and Employee Resource Groups

Eligibility for specific programs may vary and is subject to the terms and conditions of each plan.