At the EMBL Hamburg Unit, we are seeking to recruit an experienced and highly motivated software engineer to develop, implement and provide new computational methods for structural modeling of large macromolecular complexes.
The research at our Unit covers structural studies of large protein complexes using X-ray-based techniques, electron microscopy, and computational modeling. The recent AI-based modeling methods such as AlphaFold and RoseTTAfold have begun a new era in structural biology, in which accurate structural models can be built for many proteins. These new methods also create unprecedented opportunities for modeling large complexes based on experimental data. With this job opening, we aim to combine our expertise in integrative structural biology with these modeling methods to enable accurate modeling of large macromolecular complexes as a new EMBL platform.
- To develop, implement and provide new methods for modeling the structure of large macromolecular complexes by leveraging tools like AlphaFold and RoseTTAfold and integrating experimental data such as electron microscopy, crosslinking, X-ray crystallography or small angle X-ray scattering.
- Incorporate the new methods in our modeling package Assembline
- Manage well-organized and tested software packages
- To test and apply these methods within ongoing research projects of internal and external collaborators.
- To support and train young researchers in using modeling methods
- You will be affiliated with the research group of Jan Kosinski, but your expertise will be accessible to all interested research groups and teams from the EMBL Hamburg Unit
- A PhD in an area related to structural biology
- Excellent programming skills in Python, and track record in developing and applying computational tools in the structural biology field
- Experience in disseminating and managing software packages
- Strong motivation to work in a highly collaborative and multidisciplinary environment of EMBL
- Competence and commitment to contribute to teaching (workshops, tutorials, personal supervision) on the new modeling methods
You might also have
- Experience in deep learning
- Experience in modeling based on experimental structural biology data (e.g., electron microscopy, crosslinking, SAXS)
Why join us
With us, you will find the perfect balance between academic research and software development. You will work on exciting scientific projects in a creative environment, in a research group that publishes in top-tier journals (Nature, Science, Nature Protocols, etc.). Your computational tools will use the most recent innovations in structural biology and be at the forefront of the field. In the same time, you will expand your software engineering skills so the job will prepare you for either academic or industrial career.
EMBL offers a highly collaborative, uniquely international culture. The various EMBL units are strongly connected and cross-unit collaborations are not only possible but also strongly encouraged. It fosters top quality, interdisciplinary research by promoting a vibrant environment consisting of young independent research groups with access to outstanding graduate students, postdoctoral fellows and core facilities.
EMBL is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to an international research organization with a very collegial and family-friendly working environment. The remuneration package comprises a competitive salary, a comprehensive pension scheme, medical, educational and other social benefits. EMBL is committed to internationality, diversity and equality, and as such encourages applications from underrepresented groups.
What else you need to know
We are Europe’s flagship research laboratory for the life sciences – an intergovernmental organisation performing scientific research in disciplines including molecular biology, physics, chemistry and computer science. We are an international, innovative and interdisciplinary laboratory with more than 1900 employees from more than 80 countries, operating across six sites, in Heidelberg (HQ), Barcelona, Hinxton near Cambridge, Hamburg, Grenoble and Rome. Further information about research at EMBL Hamburg and CSSB can be found on the respective web pages.
Please follow the link to apply: https://www.embl.org/jobs/position/HH00209