Postdoctoral Fellow (m/f/d) / 12180 / Department of Hematology and Stem Cell Transplantation
Postdoctoral Fellow (m/f/d)
(Entgeltgruppe: EG 13 TV-L)
Einsatzbereich: Department of Hematology and Stem Cell Transplantation
Stellen ID: 12180
Eintritt: Next possible date
Umfang: Vollzeit / 38,5 h
Vertragsart: Befristet
Befristung: 36 months from the start of the project
- As part of the project, the candidate will focus on developing and applying computational methods for the analysis of genomic signatures, including mutational and copy number signatures. This work will involve integrating these insights with AI/deep learning methodologies to build predictive models for therapeutic responses and patient outcomes. The project will be conducted in collaboration with the Institute for Artificial Intelligence in Medicine (IKIM), which provides state-of-the-art computational infrastructure.
- You will perform: Computational analysis of large-scale genomic datasets
- Application and development of AI/deep learning tools for genomic signature analyses
- Processing of raw sequencing data (particularly Whole Genome Sequencing and single nucleus RNA sequencing) via established computational pipelines
- Scientific publications
- Presentation and discussion of results at regular internal and external meetings
- Generation of preliminary data and support in accruing competitive third-party funding
- Ph.D. in bioinformatics, computational biology or related field
- Proficiency with Linux/UNIX-based operating systems and working with HPC systems using SLURM
- Strong programming skills in R and/or Python
- Familiarity with AI/deep learning frameworks (e.g., TensorFlow, PyTorch) is highly desirable
- Proficiency with workflow management tools such as Snakemake and/or Nextflow
- Strong coding skills, including version control with Git and thorough script documentation
- Experience in analyzing sequencing data, including sequence alignment, quality control, variant calling/filtering, and mutational and copy number signature analysis
- Profound understanding of cancer biology and cancer genomics
- Demonstrated ability to publish high-quality scientific research
- Strong scientific writing and communication skills in English
Freuen Sie sich auf:
- Our group has expertise in the computational analysis of multi-omic datasets, including Glioma Longitudinal Analysis (GLASS) Consortium (Kocakavuk et al. 2023, Neuro Oncol; Kocakavuk et al. 2021, Nature Genetics; Barthel *et al.*2019, Nature; Varn et al. 2022, Cell) and Hartwig Medical Foundation (HMF) datasets (Kocakavuk et al. 2021, Nature Genetics). The GLASS, HMF and other datasets, including ICGC-PCAWG and AACR-GENIE, will be available for analysis.
- Cutting-edge methods for longitudinal, multi-level, and single-cell sequencing in preclinical models and patient biospecimens
- The Emmy Noether Group 'Computational Pathology', led by Emre Kocakavuk, MD, PhD of the Department of Hematology and Stem Cell Transplantation (Chair Prof. Dr. C. Reinhardt), is funded by the German Research Foundation (DFG).
- Access to state-of-the-art computational resources (integrated into Institute for AI in Medicine)
- Comprehensive training in advanced computational methods and AI
- Opportunities for interdisciplinary collaborations (e.g. GLASS consortium)
- Supportive work environment with a focus on career development
- A secure job in the public service of the state of NRW
- Fair payment in accordance with the collective wage agreement (TV-L) incl. annual bonus payment and supplementary company pension scheme
- 30 days of vacation per calendar year (for a full-time position)
- Interdisciplinary work with colleagues from other departments
- Working with modern equipment and certified quality standards
- Family-friendly corporate culture, e.g. company daycare center, vacation program for school-age children, advice and support from the Employee Service Office in all life situations
- Wide range of training and continuing education opportunities, e.g. at the Training Academy of UK Essen
- Health Management, e.g. company integration management, vaccinations, promotion of sports activities
- Attractive fringe benefits, e.g. reduced-price canteen meals, community events, accommodation in student residences
Rahmenbedingungen: Die Eingruppierung richtet sich nach den persönlichen und tariflichen Voraussetzungen., Schwerbehinderte Bewerberinnen / Bewerber und Gleichgestellte i.S. des § 2 Abs. 3 SGB IX werden bei gleicher Eignung bevorzugt berücksichtigt., Die ausgeschriebene Stelle ist grundsätzlich auch für Teilzeitbeschäftigte geeignet., Im Falle einer schriftlichen Bewerbung reichen Sie Ihre Unterlagen nur als unbeglaubigte Kopien ein und verwenden Sie keine Mappen, da keine Rückgabe erfolgt. Eine Vernichtung entlang der datenschutzrechtlichen Bestimmungen wird zugesichert., Das UK Essen strebt eine Erhöhung des Frauenanteils in Bereichen an, in denen Frauen unterrepräsentiert sind. Sie werden zur Bewerbung aufgefordert und im Sinne des LGGs bei gleicher Qualifikation vorrangig berücksichtigt., Eine Bescheinigung gemäß §23a Infektionsschutzgesetz (IfSG) über den Impf- und Serostatus bzgl. Masern ist erforderlich.