Scientific Computing Engineer for the IT, Scientific Computing and AI Area

Spanish National Cancer Research Centre (Cnio)
Madrid, Spain
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
€55,000.0
Working hours
Regular working hours
Languages
English, Spanish
Job source

Tech stack

Artificial Intelligence Bioinformatics Linux Distributed Data Store General-Purpose Computing on Graphics Processing Units Python (Programming Language) Machine Learning Ansible Scientific Computating AI Infrastructure Ceph (Software) High Performance Computing
+5 more
Kubernetes Information Technology Slurm Machine Learning Operations Docker

Job description

The IT, Scientific Computing and AI Area at the Spanish National Cancer Research Centre (CNIO) is seeking a senior scientific computing engineer to take ownership of the infrastructure behind the centre’s research, from genomics pipelines to AI models. The successful candidate will be the senior scientific computing specialist in the Area, reporting directly to the Area Director, and will help define where scientific computing at CNIO goes over the next few years. The role involves shaping and driving the scientific computing roadmap of the centre: owning and evolving the HPC cluster (Slurm), including scheduling, monitoring, capacity planning and user support; building out the GPU and AI infrastructure as the centre’s machine learning workloads grow; and working with researchers to turn their analyses into robust, reproducible pipelines and tools. Co-authoring research papers is possible for those who wish to. CNIO is one of Europe’s leading cancer research institutions, dedicated to advancing cancer research through excellence in basic, translational, and clinical science. The IT, Scientific Computing and AI Area provides the computing, storage, and AI infrastructure used by all of the centre’s research programmes and core units.

Requirements

  • A university degree in a technical or scientific field (Computer Science, Engineering, Physics, Bioinformatics or similar).
  • Experience running Linux HPC environments in production, with Slurm or a similar workload manager.
  • Experience with automation (Ansible, Python), containers (Apptainer, Docker) and workflow managers (Nextflow, Snakemake or similar).
  • Experience with Ceph, Kubernetes, or other distributed storage and orchestration platforms will be valued.
  • Experience with GPU computing stacks and AI/ML infrastructure will be valued.
  • A background in bioinformatics or experience supporting life science research will be valued.
  • Ability and willingness to set technical direction, plan capacity and lead the evolution of the platform, not only operate it.
  • Proficiency in English is required. Spanish is not required.
  • Good communication skills and a service-oriented approach to working with researchers.

Benefits & conditions

  • Gross annual salary between €55,000 and €65,000.
  • Social benefits. Flexible compensation (health insurance, meals, transportation, childcare).
  • Hybrid working arrangement, based in Madrid.
  • Four-year contract funded by the Severo Ochoa Centre of Excellence programme.

Procedencia: CNIO

Convocante: CNIO

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