Post Doctoral Research Scientist - Bioinformatics; m​/f​/d

Robert-Bosch-Krankenhaus GmbH - Post Doctoral Research Scientist Bioinformatics (m/f/d)

Stuttgart – Kennziffer: REF
972B

For a research project investigating cancer therapy and tumor cell biology of renal cell carcinoma. The project focuses on the bioinformatic analysis of transcriptomics data, particularly spatial transcriptomics combined with single cell datasets, as well as spatial multiplex immunofluorescence data. It offers the opportunity to develop novel bioinformatics solutions. Functional studies using 3D tumour cell models complement the data sets in order to enhance our understanding of tumour biology in renal cell carcinoma.

The project will be closely linked to clinical aspects of cancer research. Bioinformatic analysis of multi-omics data with focus on single-cell and spatial transcriptomics RNA sequencing data to elucidate the tumor microenvironment and its influence on cancer progression and metastasis in renal cell carcinoma. Integrating multi-omics data sets (e.g. genomics, metabolomics) of primary tumors and metastasis through innovative bioinformatics analysis applicable to high-dimensional data.

Integrated analysis of clinical phenotypes and
-omics data using biostatistics and bioinformatics. Application of a broad spectrum of established tools and development of new computational solutions with focus on single-cell and spatial transcriptomics RNA seq and data integration. Enthusiasm to present scientific results at international conferences and writing papers for high-quality publications to ensure greatest possible success in your career track.

Doctoral degree (PhD) in bioinformatics, applied bioinformatics or a related discipline. Experience and strong background in the analysis of spatial transcriptomics and single-cell RNA sequencing data, as well as multi-omics datasets (e.g. proteomics, transcriptomics, genomics), including data interpretation. Strong interest in life science applications with focus on oncology and personalized medicine. Strong programming skills in R and in Python. Solid background in cancer biology.

Knowledge in biostatistics would be beneficial. Excellent English written and oral communication skills, as well as expertise in preparation of scientific manuscripts.

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