Academic Expert (f/m/x) in Data Management

19 Jan 2024
Job Information

Organisation/Company

University of Cologne

Department

Cluster of Excellence on Plant Sciences (CEPLAS)

Research Field

Computer science » Informatics
Biological sciences » Biology

Researcher Profile

Recognised Researcher (R2)

Country

Germany

Application Deadline

15 Feb 2024 - 23:59 (Europe/Berlin)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

39,83

Offer Starting Date

1 Apr 2024

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Reference Number

Wiss2401-17

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Faculty of Mathematics and Natural Sciences
Academic Expert (f/m/x) in Data Management
Cluster of Excellence on Plant Sciences (CEPLAS)

We are one of the largest and oldest universities in Europe and one of the most important employers in our region.
Our broad range of subjects, the dynamic development of our main research areas and our central location in Cologne
make us attractive for students and researchers from around the world. We offer a wide range of career opportunities in
science, technology, and administration.

CEPLAS (the joint Excellence Cluster localised in Cologne, Düsseldorf and Jülich) conducts fundamental research on complex plant traits of agronomic relevance that impact on yield and adaptation to limited resources. This knowledge underpins novel strategies for designing and breeding plants that react in a predictable way to future challenges (SMART plants).
A significant part of CEPLAS research is founded on the extraction of new knowledge from large-scale datasets (e.g. proteomics or sequencing). This entails a close interaction between theoretical groups and experimentalists, from experimental design to data analysis and planning of new experiments.

YOUR TASKS

• The academic expert (f/m/x) will be responsible for the implementation of common principles for the design and analysis of large-scale experiments, implementing solutions for storage and organization of the data to make it identifiable and searchable (FAIR - Findable, Accessible, Interoperable, Reusable - principles of data stewardship), and support standard data analysis. For this, they will collaborate closely with the NFDI for plant science DataPLANT to align the data management strategies. They will also communicate regularly with the university‘s IT support (RRZK) to act as an interface between the researchers and the infrastructure units to ensure efficient solutions.
• The academic expert (f/m/x) will work in an existing team to organize experiment-specific workshops, ensure the most efficient use of resources and consistent implementation of FAIR principles, to communicate the results to the CEPLAS community, and to implement the developed data storage and management strategies. In addition, they should contribute to teaching within the Graduate School and the CEPLAS Quantitative Biology Bachelor program.

YOUR PROFILE

• A PhD degree in informatics, bioinformatics, biology or a related discipline
• Experience with large (biological) data sets
• Experience in FAIR data management
• Excellent communication skills and experience in interdisciplinary communication
• Good programming skills
• Preferably knowledge of key bioinformatics pipelines
• Preferably experience in database design and management
• Preferably experience with ontologies and semantic modeling
• Preferably basic systems administration skills
• High degree of self-initiative and individual responsibility
• Fluency in English, both orally and in writing

WE OFFER

• A diverse working environment with equal opportunities
• Support in balancing work and family life
• Extensive advanced training opportunities
• Occupational health management offers
• Flexible working time models
• Opportunity to work remotely

The University of Cologne is committed to equal opportunities and diversity. Women are especially encouraged to apply and will be considered preferentially in accordance with the Equal Opportunities Act of North Rhine-Westphalia (Landesgleichstellungsgesetz – LGG NRW). We also expressly welcome applications from people with disabilities/special needs or of equal status.

The position is available from 1 April 2024 on a full-time basis (39,83 hours per week). It is limited until 31.12.2025 with a possibility of extension. If the applicant meets the relevant wage requirements and personal qualifications, they will be renumerated up to 14 TVL of the pay scale for the German public sector.
Please apply online (including cover letter, curriculum vitae, and short (max. 1 DIN A4 page) concept for (i) implementing FAIR principles, (ii) experimental design workshops and (iii) support structure for data analysis) with proof of the required qualifications without a photo under: https://jobportal.uni-koeln.de . The reference number is Wiss2401-17. The application deadline is 15.02.2024. Further enquiries can be directed to Prof Dr Bart Thomma ([email protected] ) and Prof Dr Björn Usadel ([email protected] ).

 

Requirements

Research Field

Computer science » Informatics

Education Level

PhD or equivalent

Internal Application form(s) needed
Wiss2401-17_Entwurf_Academic Expert Data Management CEPLAS.pdf
English
(193.97 KB - PDF)
Download
Additional Information
Work Location(s)

Number of offers available

1

Company/Institute

University of Cologne

Country

Germany

State/Province

NRW

City

Cologne

Postal Code

50931

Street

Albertus-Magnus-Platz

Where to apply

Website

https://jobportal.uni-koeln.de

Contact

State/Province

NRW

City

Cologne

Website

https://www.portal.uni-koeln.de/

Street

Albertus-Magnus-Platz

Postal Code

50931

E-Mail

[email protected]
[email protected]

STATUS: EXPIRED