Postdoctoral Fellow (m/f/d): The University Hospital Essen is seeking a highly motivated Postdoctoral Fellow to join the Department of Hematology and Stem Cell Transplantation. The successful candidate will contribute to cutting-edge research in computational biology, genomic signatures, and AI-driven predictive models.
Designation: Postdoctoral Fellow (pay grade: EG 13 TV-L)
Research Area: Computational Genomics, Bioinformatics, AI/Deep Learning
Location: University Hospital Essen, Germany
Eligibility/Qualification:
- Ph.D. in bioinformatics, computational biology, or a related field
- Proficiency in Linux/UNIX-based operating systems and HPC systems using SLURM
- Strong programming skills in R and/or Python
- Experience with AI/deep learning frameworks (e.g., TensorFlow, PyTorch) is highly desirable
- Familiarity with workflow management tools such as Snakemake and/or Nextflow
- Proficiency in coding, version control with Git, and thorough script documentation
- Experience in analyzing sequencing data, including sequence alignment, quality control, variant calling, and mutational/copy number signature analysis
- Strong understanding of cancer biology and cancer genomics
- Demonstrated ability to publish high-quality scientific research
- Strong scientific writing and communication skills in English
Job Description:
As part of the research project, the candidate will:
- Develop and apply computational methods for analyzing genomic signatures, including mutational and copy number signatures
- Integrate computational insights with AI/deep learning methodologies to build predictive models for therapeutic responses and patient outcomes
- Perform computational analysis of large-scale genomic datasets
- Process raw sequencing data (Whole Genome Sequencing and single nucleus RNA sequencing) using established computational pipelines
- Contribute to scientific publications and present findings at internal and external meetings
- Assist in generating preliminary data and securing third-party funding
What We Offer:
- Opportunity to work with cutting-edge methods for longitudinal, multi-level, and single-cell sequencing
- Access to high-quality datasets, including GLASS, HMF, ICGC-PCAWG, and AACR-GENIE
- Collaboration with the Emmy Noether Group ‘Computational Pathology’ and the Institute for AI in Medicine
- Comprehensive training in advanced computational methods and AI
- A secure job in the public service of NRW with fair payment per TV-L agreement
- 30 days of vacation per year (full-time position)
- Family-friendly corporate culture, including daycare and employee support services
- Wide range of training, health management, and attractive fringe benefits
How to Apply:
Interested candidates should apply online via the following link: Apply Now.
For further information, contact Dr. med. Dr. rer. nat. Emre Kocakavuk via phone: +49 201 / 723-3136 or email: emre.kocakavuk@uk-essen.de.
Last Date to Apply: Please refer to the online job advertisement for application deadlines.
Additional Notes:
- The position is also available for part-time employment.
- Female scientists are encouraged to apply.
- Disabled applicants will be given preferential consideration in case of equivalent qualification.
- A certificate according to §23a Infection Protection Act (IfSG) regarding measles vaccination/serostatus is required.
- All submitted documents will be securely handled per data protection regulations.
