IT Support (m­/­f­/­div)

Leibniz Institute for Natural Product Research and Infection Biology e. V.
Jena, Germany
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Jena, Germany

Tech stack

Data analysis
Big Data
Web Development
Python
Information Technology

Requirements

  • University degree in computer science, bioinformatics, or a comparable field
  • Experience in accessing server units through command-line, as well as developing / maintaining analysis pipelines in containerized environments, is a must
  • Proficiency in R and/or Python for pipeline and web application development, as well as big data analysis
  • Interest in life science data science, including gene expression and microbiome data analysis, is a plus
  • Knowledge in statistical methods in the context of biological systems is a plus

Benefits & conditions

  • The IT-support will be hosted in the Department of Microbiome Dynamics (MBD) of Prof. Dr. Gianni Panagiotou of the Leibniz-HKI in an international, dynamic team with access to state-of-the-art computational resources.

About the company

At MBD, we seek a person with skills in process monitoring and scheduling, pipeline development, and software development. In the recent past, we significantly upgraded our CPU / GPU computer hardware and have exclusive access to multiple high-performance computing servers to analyse big life science data. In parallel, we have to continuously develop and optimize our software solutions towards efficient, high-performance computation to cope with the increasing complexity of big data. On top of that, we reach out to the community whenever possible and encapsulate our services into pipelines and web applications. Together, our hardware, pipelines, and encapsulated software applications require constant monitoring, maintenance, and development. In collaboration with our team at MBD, the tasks to be addressed by the IT specialist comprise: * Web app development, deployment, and maintenance * Curation of pipelines dedicated to efficient, high-throughput data pre-processing and analysis * Cluster management / server administration * Distributed computing / software scaling towards grid engines * Monitoring / workload surveillance of our HPCs

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