München, Bayern |Pfronstetten, Baden-Württemberg
We seek a highly motivated Computational Scientist (m/f/d) for Cancer Antigen Discovery to join our Computational Genomics unit. We are an interdisciplinary team of scientists, PhD students, and software engineers passionate about developing bioinformatics tools to identify biomarkers and therapeutic targets for personalized immunotherapies against cancer. In close collaboration with other teams at TRON, as well as with partners from academia, clinics, and industry, we apply our computational approaches to discover antigen targets and translate them into clinical practice.
The successful candidate will be responsible for identifying and prioritizing novel classes of tumor-specific antigens for personalized mRNA vaccines and other immunotherapies. This will be achieved through the analysis of multi-omics data, using innovative computational approaches supported by validation through molecular and immunological assays.
The successful candidate will be responsible for identifying and prioritizing novel classes of tumor-specific antigens for personalized mRNA vaccines and other immunotherapies. This will be achieved through the analysis of multi-omics data, using innovative computational approaches supported by validation through molecular and immunological assays.
Computational Scientist - Cancer Antigen Discovery (m/f/d)
Full time - MainzActivities and responsibilities
- Analyze large cohorts of genomic, epigenomic, transcriptomic, and proteomic data to identify and prioritize novel tumor-specific candidate antigen targets.
- Develop computational pipelines and models for antigen target detection in individual patients for personalized therapies and recurrent target for off-the-shelf therapies.
- Contribute to the design of validation strategies and collaborate on confirming targets through molecular and immunological assays.
- Present and discuss in internal meetings, with collaboration partners, and at international conferences.
- Writing R&D reports and scientific publications.
Qualification profile
- Ph.D. in Computational Biology, Immuno-Oncology, or a related data-driven field with at least 2 years of postdoctoral research experience in academia or industry.
- Demonstrated scientific expertise in tumor immunology and target discovery for immunotherapies.
- Excellent programming skills for reproducible data analysis in Python or R.
- Experience analyzing next-generation sequencing (NGS) data.
- Hands-on expertise with version control systems (e.g., Git), workflow managers (e.g., Nextflow or Snakemake), databases, and high-performance computing environments.
- Experience in leading research projects in a multidisciplinary environment
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
- Job ticket (Deutschlandticket) incl. employer allowance
- Bike leasing (Businessbike)
- The opportunity for hybrid working
- Access to our GPU-accelerated HPC cluster and laboratories with cutting-edge sequencing technologies and molecular assays
TRON is an internationally recognized 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 medical 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 work at the cutting edge of translational science.
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 via email, Job-ID: 43104-25-03-WAPRO
For more information, visit our homepage at www.tron-mainz.de
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 work at the cutting edge of translational science.
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 via email, Job-ID: 43104-25-03-WAPRO
For more information, visit our homepage at www.tron-mainz.de
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43104-25-03-WAPRO
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