8 дней назад
Platform Engineer (Bioinformatics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Platform Engineer (Bioinformatics) (Python/JavaScript/GCP/Kubernetes): Building a flexible bioinformatic web ecosystem and cloud infrastructure for life-science data exploration with an accent on full-stack development, scalable pipelines, and production-grade DevOps. Focus on deploying containerized workloads, automating CI/CD, supporting machine-learning model deployment, and enabling reliable scientific data workflows.
Location: Cambridge, UK; hybrid work with purposeful in-person collaboration
Company
is a global biopharmaceutical company developing treatments for serious and rare diseases through scientific and data-driven research.
What you will do
- Build and maintain a flexible bioinformatic web ecosystem for wet-lab scientists and data scientists.
- Engineer, optimize, and validate scalable, configurable, production-quality data pipelines.
- Develop, deploy, and maintain cloud-based applications and data workflows on GCP.
- Build and deploy containerized workloads on managed Kubernetes infrastructure.
- Manage CI/CD pipelines, builds, Docker images, and cloud automation using GitHub and GCP.
- Support machine-learning model training, deployment, and inference while collaborating with scientific, IT, security, and cloud teams.
Requirements
- Degree or equivalent experience in computer science, engineering, bioinformatics, biology, machine learning, statistics, or a related field.
- Full-stack development experience with strong Python and JavaScript skills; Svelte experience is preferred.
- Experience with life-sciences applications, workflows, and systems, including drug development, cheminformatics, or bioinformatics.
- Experience designing and maintaining SQL databases, preferably PostgreSQL.
- Experience with GCP, Docker, container-based workflows, GitHub Actions, CI/CD, and Git.
- Strong communication skills and experience collaborating in multidisciplinary teams.
Nice to have
- Kubernetes cluster setup, deployment, and management experience.
- Machine-learning model deployment, GPU-based deep-learning optimization, or drug-discovery tools experience.
- Experience with Pydantic, SQLAlchemy, Nextflow, ArgoCD, Argo Workflows, Terraform, event queues, or external cloud-service integrations.
- UI/UX experience.
Culture & Benefits
- Flexible work schedules with purposeful in-person collaboration.
- Hybrid-friendly technology and IT support for collaboration across locations and time zones.
- Competitive retirement benefits, global equity awards, and participation in an employee stock purchase plan.
- Career development through internal learning, external programs, LinkedIn Learning, and role-specific training.
- Recognition programs and employee resource groups.
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