Fixed-term for 2 years | Full-time with 38.5 hours | Salary according to TV-L E13 | Institute of Reproductive Genetics
We are UKM. We have a clear social mission and, with our focus on healthcare, research, and teaching, we bear a unique responsibility.
To meet our high standards every day, we are looking forward to your scientific expertise in the Institute of Reproductive Genetics. Here, we investigate the genetic basis of reproductive disorders using advanced genomic technologies and bioinformatics approaches. As part of the Centre for Medical Genetics, we combine research in reproductive genetics with expertise in human genetics and genomic analysis – ideally with you on board!
Responsibilities
- Application of novel computational and statistical approaches to identify genetic variants associated with male infertility, including variants in known and potential novel targets for non-hormonal contraception
- Independent development and investigation of research questions within the project, from genomic data analysis to biological interpretation
- Analysis and interpretation of large-scale next-generation and long-read sequencing datasets
- Coordination, documentation and management of extensive genomic datasets in collaboration with the project team
- Presentation and discussion of research findings in project meetings and scientific presentations
- Contribution to or leadership in the preparation of scientific manuscripts for publication
Requirements
- Completed doctorate in computational biology, bioinformatics, biomedicine, human genetics, life sciences or a related discipline
- Substantial practical experience in next-generation sequencing (NGS) data analysis, including alignment, variant calling, annotation and filtering
- In-depth knowledge of common NGS data formats and genomic analysis workflowsGood programming skills in Python, R and/or other relevant languages for data analysis, as well as experience working with the Linux command line
- Ability to conduct independent scientific research, combined with a structured, responsible and collaborative approach to work
- Strong motivation and interest in scientific questions related to reproductive and medical genetics
- Professional proficiency in English; good German communication skills are an advantage
We Offer
- Salary according to TV-L E13, extra annual payment, and company pension plan (VBL)
- 30 days of vacation per year, plus two additional days off on Christmas Eve and New Year's Eve
- A wide range of training and professional development opportunities
- A respectful and appreciative work environment within a diverse team
- Support and advisory services for health and work-life balance
- Additional benefits such as sports programs, job ticket, jobrad, company events, cafeteria, and emergency childcare
For inquiries, please contact: Dr. Melanie Lindner, T +49 251 83-57475
Required Application Documents
- Motivation letter
- Curriculum vitae (CV)
- Short summary of research background (maximum 1 page)
- Publication list
- Contact details of at least one referee
#J-18808-Ljbffr
Postdoctoral Researcher (gn*) Bioinformatics and Reproductive Genetics in Münster Arbeitgeber: Universitätsklinikum Münster
Das Universitätsklinikum Münster bietet als Arbeitgeber hervorragende Bedingungen für Pflegefachkräfte, insbesondere durch ein strukturiertes Traineeprogramm in der neonatologischen Intensivpflege. Mit flexiblen Arbeitszeitmodellen, umfangreichen Schulungsangeboten und einer starken Unterstützung bei der Vereinbarkeit von Beruf und Familie schaffen wir eine positive Arbeitskultur, die auf Teamarbeit und individuelle Entwicklung setzt. Zudem profitieren unsere Mitarbeiter von attraktiven Zusatzleistungen wie betrieblicher Altersversorgung, Gesundheitsangeboten und einem familienbewussten Arbeitsumfeld.
Kontaktdaten:
Universitätsklinikum Münster Recruiting-Team
