We are looking for support in our Computational Medicine unit to start as soon as possible. We are an interdisciplinary team of scientists, software developers, and PhD students with various background, including computer science, molecular biotechnology, bioinformatics, and mathematics. We strongly collaborate with other units in TRON and with external partners to develop software, predictive models, and data analysis pipelines to identify biomarkers and targets for innovative immunotherapies against cancer and other diseases.
The successful candidate will develop novel methods and analysis pipelines for spatial transcriptomics assays, support team members in building image analysis pipelines for multiplex/highplex immunohistochemistry (IHC), contribute to exciting ongoing and novel projects in translational cancer immunotherapies and cardiovascular disease, and collaborate with experts across multiple fields to push the boundaries of what is possible.
Computational Scientist Spatical Omics (m/f/d)
Implementation, optimization and application of robust and reproducible analysis pipelines for spatial omics data
Development of novel multi-modal data integration methods for spatial multi-omics assays
Integratation of in-house generated data with publicly available spatial and single-cell atlases
Support and train scientists and PhD students in spatial omics data analysis
Collaboration in multidisciplinary project teams with academic and industrial partners to identify novel biomarkers and therapeutic targets
Reviewing literature for emerging methods, datasets, and discoveries in the field of spatial omics
Presenting and discussing in internal meetings and international conferences, write R&D reports and scientific publications
A Ph.D. degree in a relevant scientific discipline (e.g. Biology, Bioinformatics, Computer Science)
Demonstrated scientific expertise in analysing spatial omics data
Experience in leading research projects in a multidisciplinary environment
Strong programming skills, particularly in Python and R, with experience in spatial data analysis and machine learning
A hands-on expertise with version control systems (e.g. git), workflow managers (e.g. snakemake, nextflow) and high performance computing will be advantageous
Experience in microscopy image analysis is a plus
Flexibility to adapt to changing projects and organizational priorities
Strong communication skills in English
Enthusiasm and curiosity for the diverse activities of our research institute as well as the ability to work in a team completes your profile.
A dynamic, innovative and creative research environment
Access to our GPU-accelerated HPC cluster and labs with cutting-edge sequencing and imaging technologies
An open, collegial and cordial working atmosphere in a respectful corporate culture
A high degree of diversity in the workforce
Performance-related remuneration and other benefits
The opportunity for personalised further training
Good transport connections by public transport and car, as well as bicycle parking spaces
The opportunity for hybrid working