Biomedical Data Manager

Universität zu Köln
Köln, Germany
25 days ago
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Role details

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

Tech stack

Data Analysis Big Data Bioinformatics File Systems Information Lifecycle Management Python (Programming Language) Machine Learning Data Classification Storage Technologies

Job description

Manager (f/m/x) to support the team in its research on genomes and their changes with age, as well as on the development of cancer. The position focuses on the collab- orative development of an infrastructure and workflow for data analysis and the application of machine learning to a wide range of datasets on somatic mutagenesis.

YOUR TASKS » Designing and implementing standardized folder

hierarchies and naming conventions across HPC storage systems

» Development of metadata schemas to enable efficient data collection, retrieval, and data lifecycle management for large quantities of data

» Collaborative implementation of standard operating procedures for the analysis of genomic data, including the application of machine learning and deep learning

» Development and implementation of guidelines for the organization of personally sensitive data and best practices for research teams

» Implementation of research projects in the field of somatic mutagenesis and collaboration with researchers

» Advising Researchers on best practices for data organization

» Developing documentation, templates, and standard operating procedures

Requirements

» Bachelor’s or Master’s degree in bioinformatics,

bioengineering, genetics, or a related field » Strong experience with Linux/Unix command-line

environments » Familiarity with HPC storage architectures and

parallel file systems » Strong attention to detail and systematic approach

to data classification » An understanding of scientific research processes in

genetics, data types in genomics, and the correspond- ingly large volumes of data

» Excellent communication skills to work with diverse technical and non-technical users

» Proficiency in Python and R for data analysis » Experience with machine learning would be

advantageous

» Very good interpersonal and communication skills; in particular, the ability to effectively work in a diverse, collaborative and interdisciplinary research environment

» Excellent written and spoken English skills are an essential requirement

Benefits & conditions

The position is available at the earliest possible time on a full-time basis (39,83 hours per week). The position is to be filled for a fixed term for 24 months. If the applicant meets the relevant wage requirements and personal qualifications, the salary is based on remuneration group 11 TV-L of the pay scale for the German public sector.

About the company

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.

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