TRON’s Systems Immunology & Medicine unit is offering a Master’s Thesis, aimed at providing hands-on experience in cutting-edge research and data analysis within the field of computational medicine. We are an interdisciplinary team of scientists, software developers, and PhD students, with diverse backgrounds, including computer science, molecular biotechnology, and bioinformatics. We strongly collaborate with other units in TRON and with external partners to develop software, predictive models, and data analysis to identify biomarkers and targets for innovative immunotherapies against cancer and other diseases.
As part of our research group, you will have the chance to work on challenging bioinformatics projects related to improving cancer immunotherapy. In your Master thesis, you will computationally address translational research questions and develop models for the effectiveness of cancer immunotherapies.
TRON is an internationally recognised institute for application-oriented research. We combine the strengths of academic research with the requirements of quality-controlled industrial developments. At TRON, we share a common mission to develop innovative solutions for the immunotherapeutic treatment of cancer, infectious diseases and other serious diseases with high medicinal need for development.
TRON was founded in Mainz in 2010 and works in close cooperation with universities and hospitals as well as with regional, national and international research institutions and pharmaceutical companies.
Train and test predictive models for the effectiveness of immunotherapies
Support the development of a reproducible snakemake workflow for the analysis of available patient sequencing data
Currently enrolled in a Master's program in (Bio)informatics, Computer Sciences, Data Sciences, Biology or a related field
Solid programming experience, preferentially in Python or R
Keen interest in project work with focus on translation research questions in cancer immunotherapy in a team
Hands-on experience with snakemake, git and linux-based compute clusters is a plus
High proficiency in spoken and written English
Hands-on research experience in bioinformatics
Supervision and mentorship by experts in the field
Opportunity to contribute to high-impact research and publications
A collaborative and stimulating academic environment