Compu­ta­tional Scientist Cancer Antigen Discovery(m/f/d) — full time — Mainz

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.

Your tasks and respon­si­bi­lities:

• Analyze large cohorts of genomic, epige­nomic, transcrip­tomic and proteomics data to identify and prioritize novel tumor-specific candidate antigens relevant for cancer immuno­the­rapies.
• Develop compu­ta­tional pipelines for antigen target detection in individual patients for perso­na­lized therapies.
• Contribute to the design of validation strategies and colla­borate on confirming targets through molecular and immuno­lo­gical assays.
• Present and discuss in internal meetings and inter­na­tional confe­rences, writing R&D reports and scien­tific publi­ca­tions.

What you bring:

• 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. Experience with mass spectro­metry-based immun­o­pep­ti­domics data analysis is a plus.
• Hands-on expertise with version control systems (e.g., Git), workflow managers (e.g., Nextflow or Snakemake), and high-perfor­mance computing environ­ments.
• Experience leading research projects in a multi­di­sci­plinary environment and comfor­table working in a dynamic and evolving environment.

Enthu­siasm and curiosity for the diverse activities of our research institute completes your profile.

We offer:

• A dynamic, innovative, and creative research environment with strong expertise in immuno­the­rapies.
• An open, collegial, and supportive working atmosphere in a respectful organiza­tional culture
• A highly diverse and inclusive workforce
• Access to our GPU-accele­rated HPC cluster and labora­tories with cutting-edge sequencing techno­logies and molecular assays.
• Perfor­mance-based remune­ration and other benefits
• Oppor­tu­nities for perso­na­lized profes­sional develo­pment
• Conve­nient access via public transport and car as well as bicycle parking spaces
• The possi­bility of hybrid working arran­ge­ments

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: 43104–25-02-WAPRO.

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