Scientist Position: Computational Biology/Bioinformatics in Epigenetics

Job description

The job will involve the analysis and integration of large datasets to understand genome function, epigenetic memory and transcriptional regulation. The successful candidate will be tasked with the development, implementation and standardisation of low-input or single cell genomic pipelines, integration of data from several omics datasets, data management and the introduction of machine learning and AI approaches to understand epigenetic regulation of chromatin function. The applicant will be part of a computational team with close collaborations with wetlab scientists and leading computational biology/AIH in Health groups at Helmholtz Munich. Working language is English.

Job requirements

Ph.D in Bioinformatics, Biostatistics, Computational Biology, Systems Biology or Molecular Biology with a previous extensive experience in bioinformatics, computational analyses and data integration. We specifically look for independent thinkers, who are willing to shape a project by developing their own ideas. Experience with NGS datasets (e.g. ChIPseq, CUT&Run, or CUT&Tag, ATACseq and RNAseq) as well as their relevant data analysis tools and pipelines is mandatory. Proficiency in scripting languages, experience with workflow management systems and high-performance computing cluster environments would be an advantage. Knowledge of molecular gene regulation, chromatin and epigenetics are beneficial.