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8 дней назад

Platform Engineer (Bioinformatics)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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