• Interested? Find out more.

The Department of Translational Genomics at the University of Cologne is looking for students willing to complete their master degree with a thesis focused on the computational analysis of cancer genomes. We are interested to understand the molecular processes underlying the acquisition of tumour resistance to therapy and how therapy shapes tumour population composition in small cell lung cancer.

Your Tasks

You will work in a newly established group led by Dr. Maria Cartolano and in collaboration with the Computational Cancer Genomics group led by Prof. Dr. Martin Peifer. You will run computational pipelines aimed at identifying somatic variants in cancer samples. You will analyse signature of mutational processes and their dynamics in the evolving tumour cellular composition and  you will perform bulk RNA sequencing and single cell RNA sequencing to identify pathways correlated with pathogenesis and resistance.

Your Profile

You must be a student in biological sciences, biochemistry or related. You must have at least a very basic knowledge of LINUX/UNIX and of scripting ( e.g. R, Python). Previous experience with Next Generation Sequencing (NGS) data will be considered a plus. We expect a highly motivated candidate with good communication skills, proactive, independent and solution-oriented.

We offer

• An international and multidisciplinary research environment;
• Participation in numerous seminars within the field of translational cancer biology;
• Intensive mentoring;
• A very friendly working environment

If this applies to you, please send us (info[at]translational-genomics.de) your:

• motivation letter
• current CV
• transcript record

The Department of Translational Genomics at the University of Cologne is looking for students willing to gain experience in the computational analysis of cancer genomes. We are interested to understand the molecular processes underlying the acquisition of tumour resistance to therapy and how therapy shapes tumour population composition in small cell lung cancer.

Your Tasks

You will work in a newly established group led by Dr. Maria Cartolano and in collaboration with the Computational Cancer Genomics group led by Prof. Dr. Martin Peifer. You will run computational pipelines aimed at identifying somatic variants in cancer samples. You will analyse signature of mutational processes and their dynamics in the evolving tumour cellular composition and  you will perform bulk RNA sequencing and single cell RNA sequencing to identify pathways correlated with pathogenesis and resistance.

Your Profile

You must be a student in biological sciences, biochemistry or related. You must have at least a very basic knowledge of LINUX/UNIX and of scripting ( e.g. R, Python). Previous experience with Next Generation Sequencing (NGS) data will be considered a plus. We expect a highly motivated candidate with good communication skills, proactive, independent and solution-oriented.

We offer

• An international and multidisciplinary research environment;
• Participation in numerous seminars within the field of translational cancer biology;
• Intensive mentoring;
• A very friendly working environment.

If this applies to you, please send us (info[at]translational-genomics.de) your:

• motivation letter
• current CV
• transcript record

Are you interested in:

• contributing to the development of new therapies?
• improving the treatment of cancer patients?
• leaving old paths in school-based medical studies?
• being challenged

If this applies to you, please send us (info[at]translational-genomics.de) your:

• motivation letter
• current CV
• transcript record