Academic Employee for Data Management and Analysis in Microbiome Research

Profilbillede
dato

BEMÆRK: Ansøgningsfristen er overskredet

We are looking for an Academic Employee for a part time position. Work place will preferably be at Aarhus University Forskerparken, Gustav Wieds Vej 10 B, 8000 Aarhus C.
At the Department of Biological and Chemical Engineering we work within diverse fields of research. For more information regarding the different groups see:

Forskning - Institut for Bio- og Kemiteknologi, Aarhus Universitet (au.dk)

It is a permanent position with start 1 November 2024.
 

Responsibility:

You’ll be joining a group that consists of food and gut microbiologists, microbial ecologists, and food engineers that work on food and gut microbial systems. You will support the group of Functional Microbe Technology in microbial community data management and analysis. We’re looking for someone who is motivated and flexible to handle varying tasks.

Tasks will include:

  • Data processing and analysis. The candidate supports ongoing research projects of PhD students and postdocs with the processing, analysis, integration and visualization of omics data (e.g., genomics, metagenomics, metatranscriptomics) generated from different platforms (e.g. Illumina, Nanopore)
  • Data and IT infrastructure management. The candidate supports the management, storage and submission to relevant repositories of the various data types locally and publically available databases
  • Keeping track of tools and methods for biological data analysis. Initiatives to integrate novel tools and methods for the analysis of omics dataare welcome
     


Required qualifications:

  • A PhD in data science, computational biology, mathematics, bioinformatics, or a related field within the STEM disciplines
  • An understanding of bioinformatics and experience with large datasets commonly used in an academic setting
  • Excellent communication, teamwork and organizational skills
  • Experience with HPC is considered beneficial
  • Deep knowledge of multivariate statistics, statistical modelling and numerical methods
  • Basic knowledge of machine learning techniques is considered beneficial
  • Advanced proficiency in Python and shell scripting and experience with data science, graphical and statistical libraries
     


As a person you must be:

  • Independent and committed
  • Good a prioritizing work tasks
  • Robust and adaptable
  • Serviceminded

As an Academic Employee at Department of Biological and Chemical Engineering you will work in close relation with researchers, students and other technical staff.
 

Place of work

The work place is Gustav Wieds Vej 10D, Department of Biological- and Chemical Engineering.
 

Contact information

For more information of the position please contact Laboratory Manager Hanne Østergård Larsen (hanne.larsen@au.dk mobil 22356958) or Gitte Hastrup (gh@bce.au.dk mobil 25301364).

 

Formalities and salary range

Salary and terms as agreed between the Danish Ministry of Taxation and the Confederation of Professional Unions.

Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants.

The application must be submitted via Aarhus University’s recruitment system, which can be accessed under the job advertisement on Aarhus University's website.

 


Aarhus University

Aarhus University is an academically diverse and research-intensive university with a strong commitment to high-quality research and education and the development of society nationally and globally. The university offers an inspiring research and teaching environment to its 38,000 students (FTEs) and 8,300 employees, and has an annual revenues of EUR 935 million. Learn more at www.international.au.dk/

INFORMATIONER OM STILLINGEN:

- Arbejdspladsen ligger i:

Aarhus Kommune

-Virksomheden tilbyder:

-Arbejdsgiver:

Aarhus Universitet, Gustav Wieds Vej 10D, 8000 Aarhus C

-Ansøgning:

Ansøgningsfrist: 04-09-2024; - ansøgningsfristen er overskredet

Se mere her: https://job.jobnet.dk/CV/FindWork/Details/6101089

Denne artikel er skrevet af Emilie Bjergegaard og data er automatisk hentet fra eksterne kilder, herunder JobNet.
Kilde: JobNet