Lead AI Developer for Advanced Genomics Research

Vor 2 Tagen


Munich, Bayern, Deutschland Technical University of Munich Vollzeit

Lead AI Developer for Advanced Genomics Research

About Us

The Chair of Computational Molecular Medicine at the Technical University of Munich is a world-renowned research group focused on developing computational approaches to study gene regulation and its implications in diseases. Our team, led by Prof Julien Gagneur, has made significant contributions to understanding basic mechanisms governing gene expression and unraveling genetic aberrations triggering rare diseases and cancer.

The EPIC Project

EPIC is a 10-million Euro project funded by the European Research Council under the ERC Synergy grant scheme. This project brings together three groups with complementary technologies to decipher the complete regulatory code of the eukaryote S. cerevisiae. We will assay fungal species spanning hundreds of millions of years across all layers of gene regulation and under different growth conditions. Moreover, we will design nearly a million sequences to systematically test and refine our model of the regulatory code and eventually design genes and cells for biotechnological applications.

Your Role

As a senior computational biologist, you will be responsible for ensuring 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 work closely with other postdocs and junior colleagues to achieve project goals.

Requirements

We are seeking a highly skilled and experienced individual with a PhD degree in Computational Biology or related fields (Computer Science, Physics) or at least 3 years of experience in scientific software development. You should have expertise in NGS data processing and modeling, deep learning frameworks, and scientific software development. Excellent organizational skills and good mentoring capabilities are essential for this role.

Benefits

We offer a competitive salary according to the TV-L E14 scale, which includes social benefits such as healthcare, pension, and unemployment insurance. You will also have the opportunity to develop research management skills and move to an open-end position. Our international and interdisciplinary working environment offers access to excellent colleagues and students. Flexible working hours and home-officing policy are also available.

Salary

According to the TV-L E14 scale, the salary ranges from approximately €63,000 to €78,000 per year, depending on your qualifications and experience.



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