Ludwig-Maximilians-Universität München is a leading research university in Europe. Since its founding in 1472 it has been committed to the highest international standards of excellence in research and teaching. The institution is seeking a highly motivated and skilled Postdoctoral Researcher to develop new algorithms for multi-omics data integration. At the intersection of data science and neuroepigenetics, the aim is to unravel the complex mechanisms underlying brain cell function and neurodegenerative diseases. A collaborative and innovative research environment is provided.
Responsibilities
- Development and maintenance of bioinformatics workflows for NGS data analysis
- Exploratory data analysis of large-scale genomic datasets
- IT support of scientific and non-scientific users
- Design and execution of independent research projects at the interface of data science and neuroepigenetics
- Contribution to scientific publications and presentations
Requirements
- PhD in Bioinformatics, Computational Biology, Computer Science, Mathematics, or a related field
- Strong proficiency in Linux and high-performance computing (HPC) systems
- Experience with workflow management systems (e.g., Nextflow, Snakemake)
- Familiarity with NGS data formats (e.g., FASTQ, BAM, VCF) and bioinformatics tools
- Demonstrated ability to perform exploratory data analysis and interpret complex datasets
- Excellent programming skills (e.g., Python, R)
- Experience in system administration
- High degree of self-motivation, communication skills and competence
Benefits
- A stimulating and collaborative research environment within a newly established group
- An open research environment
- Flexible working hours
- Opportunities for collaborations with neuroscientists and clinicians
- Access to state-of-the-art computational infrastructure
- Competitive salary according to German public service guidelines (TV-L)
- Possibility of part-time employment (50%)
- Postdoc Initiative at the BMC with career development program and postdoc network