Bioinformatiker (gn*) Klinik für Medizinische Genetik

TieTalent; Münster; Vor Ort; EUR 52.000 - 72.000; Vollzeit

Benefits dieser Stelle

Exciting Projects

Professional Development and Training

Interdisciplinary Collaboration

Part of Research Innovation

Additional Benefits

Zusammenfassung

A leading genetics institute in Münster, Germany, is seeking a skilled Bioinformatics Specialist to develop algorithms and analyze genomic sequencing data. Candidates should have a degree in computer science or bioinformatics and solid programming skills in Python and R. Join a multidisciplinary team tackling exciting projects aimed at reproductive genetics research, and enjoy opportunities for professional development in a supportive environment.

Qualifikationen

• Experience in the analysis of next-generation sequencing data.
• Solid programming skills in Python or R.
• Motivation for diverse tasks in a medical environment.
• A responsible, collegial and results-oriented approach to work.
• Motivation and interest in a diverse and exciting range of tasks in a medical environment.

Aufgaben

• Develop and implement algorithms for genomic sequencing data analysis.
• Work at the interface between research and diagnostics.
• Engage in varied tasks within a multidisciplinary team.
• Contribute to a multidisciplinary, collegial and committed team.

Kenntnisse

Algorithm development

Data analysis

Programming in Python

Programming in R

Ausbildung

Degree in computer science or bioinformatics

Doctorate desirable

Tools

Python

R

Jobbeschreibung

Overview

Fixed-term project position for 2 years with possibility of extension | Full-time with 38.5 hours per week | Remuneration according to the provisions of the TV-L/salary group 13 | Institute of Reproductive Genetics | subject to project approval | Job ID: 11034

We are UKM. We have a clear social mandate and, through the combination of patient care, research and teaching, we bear a particular responsibility. In order to meet our high standards every day, we are looking forward to welcoming your scientific expertise — ideally with you!

The Institute of Reproductive Genetics is part of the Centre for Medical Genetics, which also includes the Department of Medical Genetics. We care for patients across the entire spectrum of human genetic conditions and perform associated analyses using the latest state-of-the-art technologies. For over 10 years, we have been running a self-developed system comprising an electronic patient record (EPR) and laboratory information management system (LIMS). This web-based system also includes the analysis of next-generation sequencing (NGS) data, both short and long read (Illumina/PacBio), and is used both in clinical care and research. For a study with the aim to develop a non-hormonal contraceptive (NHC), we will be sequencing more than 4,000 genomes of men to identify cases affected by known NHC targets and to discover novel NHC targets. Together with our already available 3,000 exomes/genomes of men in infertile couples, this will create an unprecedented dataset for research in reproduction. Analysing these data requires detailed coordination as well as novel concepts and analytic approaches and, thus, a person keen to work on such challenges.

Responsibilities

• Development and implementation of algorithms and pipelines as well as analysis of genomic sequencing data, including methylome data (e.g. assembly and annotation)
• Work at the interface between research and diagnostics
• Varied, interesting and diverse tasks in a multidisciplinary, collegial and committed team

Qualifications

• Completed degree in computer science, bioinformatics or a related subject; a doctorate is desirable
• Relevant experience in the analysis of next-generation sequencing data
• Solid programming skills (e.g. Python or R)
• A responsible, collegial and results-oriented approach to work
• Motivation and interest in a diverse and exciting range of tasks in a medical environment

Benefits

• Exciting Projects
• Professional Development and Training
• Interdisciplinary Collaboration
• Part of Research Innovation
• Additional Benefits