We are looking for a new team member in our Computational Medicine unit to start as soon as possible. The successful candidate will establish novel targets for innovative cancer immunotherapies such as RNA vaccines. We aim to detect tumor-specific transcripts and splice junctions that encode potential neoantigen targets by analyzing large-scale RNA sequencing data (short and long reads) from tumor and healthy samples in internal and publicly available resources. In close collaboration with experimental teams, the detection pipelines and individual targets will be confirmed on the level of transcript and peptide abundance as well as immunogenicity.

The Computational Medicine unit is an interdisciplinary team of dedicated and enthusiastic scientists, software developers, PhD students, and graduate students from diverse backgrounds, including computer science, molecular biology, bioinformatics, and mathematics. We strongly collaborates with other units in TRON and with external partners to develop software, predictive models, and data analysis for innovative immunotherapies against cancer and other diseases.

Your tasks and responsibilities:

• Analyzing large-scale short- and long-read RNA-sequencing data
• Evaluating, comparing and applying of existing computational tools and pipelines to characterize tumor transcriptomes and predict tumor-specificity
• Development of reproducible detection pipelines and data-driven prediction models
• Defining short-lists of promissing targets for experimental confirmation
• Designing and discussing long-read sequencing and further confirmation experiments
• Present your work in meetings and at conferences, write reports and publish manuscript

What you bring:

• A completed PhD in bioinformatics, computational biology or related field
• Demonstrated proficiency in analyzing sequencing data of large-scale cancer cohorts
• Experience with long-read sequencing data for transcriptome characterization
• Expertise in developing reproducible data analysis workflows in a HPC linux environment
• Excellent data visualization and communication skills
• Experience with data from proteomics, ligandomics or immunogenicity screening experiments would be advantageous

Enthusiasm and curiosity for the diverse activities of our research institute as well as the ability to work in a team completes your profile.

We offer:

• A dynamic, innovative and creative research environment
• An open, collegial and cordial working atmosphere in a respectful corporate culture
• A high degree of diversity in the workforce
• Flat hierarchies
• 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

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.

As part of our team, you have the opportunity to be at the forefront of translational science with us.

If all this appeals to you, we look forward to getting to know you.

Please send us your complete and informative application documents (cover letter, CV, references) in a single document of max. 5 MB by e-mail to Human Resources at jobs (at) tron-mainz.de,
Job-ID: 51004-24-02-WAPRO.

For more information, visit our homepage at www.tron-mainz.de