Ihre Aufgaben:

We are looking for a (senior) bioinformatician to guide our efforts in spatial and single cell genomics analyses of tumour samples. These involve handling and analysis of hundreds to thousands of 10-30Gb microscopy images as well as associated sequencing data and also clinical metadata. You will also be responsible for creating and running analysis workflows on these raw data sets to extract molecular information about the molecular nature and spatial composition of tumour samples.

In particular your tasks will be:

• Establishment of a data management systems for large imaging data sets such as OMERO
• Creation and running of analysis workflows for image based spatial transcriptomics based on existing algorithms, involving image registration, fluorescent feature extraction and decoding of molecular barcodes.
• Data management and analysis of single cell sequencing data
• Running and trouble shooting of analysis workflows and reporting results and QC metrics

The fellow will be jointly affiliated with the Gerstung Lab and the Omics IT and Data Management Core Facility and collaborate with clinical partners at DKFZ and elsewhere.

Ihr Profil:

You will hold at least a master’s degree in computer science, statistics, mathematics, physics, and/or engineering, or a degree in biological science with demonstrated experience in computational biology / bioinformatics.

Previous experience in developing and applying computational methods applied to large datasets is expected. We especially seek candidates with prior experience in the analysis and management of microscopy imaging and/or NGS data.

Proficiency with relevant scripting languages, and statistical data analysis tools such as Python (or equivalent) as well as workflow scripting languages (e.g. CWL or Nextflow) and container technologies such as docker or singularity is required.

The ideal applicant should have demonstrated the ability to work independently and creatively. You should have excellent communications skills and be able to articulate clearly the scientific and technical needs, set clear goals and work within an interdisciplinary setting, communicating with other partners.