Bioinformatics IT Specialist for Translational Oncology

Euraxess

Helsinki

Hybride

EUR 38 000 - 44 000

Plein temps

Il y a 5 jours
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Résumé du poste

The University of Helsinki invites applications for an IT Specialist to support cutting-edge biomedical research in the Färkkilä Lab. You will manage research computing infrastructure, cloud-based storage, and lab-wide IT practices to ensure reliable operations for researchers.

We seek a candidate with strong Python/Linux skills, experience in HPC or cloud environments, and a track record in scientific IT support.

Qualifications

  • Master's degree in a relevant field, such as bioinformatics, computer science, software engineering, or a related discipline.
  • At least three years of relevant professional experience in scientific IT support, research computing, computational infrastructure management, or related fields, or a PhD in a relevant discipline.
  • Proficiency in Python and Linux-based computing environments, including command-line tools and scripting.
  • Experience in the administration and maintenance of high-performance computing (HPC) or cloud computing environments.
  • Experience with large-scale data storage, file management, and data transfers.
  • Familiarity with scientific data processing workflows and computational environments, including software dependencies and package management.
  • Strong organizational, logical, and problem-solving abilities, with keen attention to detail and the ability to work independently.
  • Excellent communication and documentation skills, including the ability to provide technical guidance to researchers with varying levels of computational expertise.
  • Previous experience working in an academic research environment or supporting bioinformaticians and biomedical researchers.
  • Experience with CSC computing resources, particularly Roihu, LUMI, and cPouta.
  • Familiarity with bioinformatics workflow management tools such as Nextflow or Snakemake.
  • Experience with containerization technologies such as Docker, Apptainer/Singularity, or Kubernetes.
  • Experience handling and processing large biological datasets, particularly imaging, spatial transcriptomics, or other omics data.
  • Experience in managing shared software environments and dependencies on HPC systems.
  • Familiarity with database management, especially PHP and MySQL databases for biological data.
  • Experience with website content management and maintenance.

Responsabilités

  • Computing Infrastructure Management: Administration and maintenance of CSC computing resources (Roihu, LUMI, cPouta), including resource allocation, shared computational environments, and user support.
  • Data Storage and Management: Monitoring cloud storage systems, facilitating large-scale data transfers, and maintaining standardized data management and documentation practices.
  • Bioinformatics Operations: Execution of established data processing pipelines from new research data, including immunofluorescence image processing and spatial transcriptomics workflows.
  • IT Support and Coordination: Technical support for researchers for cloud computing clusters, maintaining IT guidelines, and coordination and development of lab-wide IT infrastructure practices.
  • Website Administration: Maintaining and updating the research group's website, including personnel, publications, and research activities.

Connaissances

Python
Linux CLI
HPC / Cloud
Containerization
Data storage
Bioinformatics workflows
Nextflow/Snakemake
Docker / Kubernetes
PHP & MySQL
Documentation
Academic environment
Communication skills

Formation

Master's degree
PhD accepted

Outils

Roihu
LUMI
cPouta
Nextflow
Snakemake
Docker
Kubernetes
Apptainer/Singularity
MySQL
PHP

Description du poste

The University of Helsinki invites applications for an IT Specialist to support cutting-edge biomedical research in the Färkkilä Lab. You will manage research computing infrastructure, cloud-based storage, and lab-wide IT practices to ensure reliable operations for researchers.

We seek a candidate with strong Python/Linux skills, experience in HPC or cloud environments, and a track record in scientific IT support.

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