Senior Scientific Software Developer for AI in Regulatory Genomics

vor 4 Wochen


Munich, Bayern, Deutschland Technical University of Munich Vollzeit
About the Project

The Chair of Computational Molecular Medicine, led by Prof. Julien Gagneur, is developing computational approaches to study the genetic basis of gene regulation and its implications in diseases. Our work ranges from understanding basic mechanisms governing gene expression to unraveling genetic aberrations triggering rare diseases and cancer.

Our Research

EPIC is a 10-million Euro project funded for 6 years by the European Research Council under the ERC Synergy grant scheme. We bring together 3 groups at the edge of complementary technologies – Vicente Pelechano (Karolinska Institute) for the development of high-throughput omics assays, Kevin Verstrepen (VIB-KU Leuven) for synthetic biology, and Julien Gagneur for the AI and bioinformatics. Our goal is to decipher the complete regulatory code, from chromatin to protein abundance, of the eukaryote S. cerevisiae.

Your Role

As the senior computational biologist of the team, your role is to ensure a robust and scalable ecosystem for the entire project. This includes designing and implementing the data backend, automated processing workflows, APIs, and packages supporting the development of new algorithms. You will also interact with other postdocs and be supported by more junior colleagues.

Requirements
  • PhD degree in Computational biology or related field (Computer Science, Physics) or at least 3 years of experience in scientific software development
  • Experience with NGS data processing and modeling
  • Experience with deep learning frameworks
  • Scientific software development
  • Excellent organizational skills and good mentoring capabilities
  • Fluent in English
What We Offer
  • Salary according to the TV-L (German academic salary scale) - E14, the highest salary scale before group leader
  • Social benefits (healthcare, pension, and unemployment insurance)
  • Possibility to develop research management skills and move to an open-end position
  • International, attractive, and interdisciplinary working environment
  • Flexible working hours and home-officing policy


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