Project Description

The Protein Research Group at the University of Southern Denmark (SDU) in Odense is seeking a skilled DC to join our team. This role is pivotal in supporting the development of novel affinity-binders for high-sensitivity proteomics and biomedical applications in cancer.  DC9 will use protein design concepts and deep-learning computational methods to develop novel protein-based affinity-binders for detection and quantification of post-translational modifications in proteins and peptides.

Produce, purify and test selected designer proteins for enrichment of cancer biomarkers and to understand cellular signalling pathways involving post-translational modifications, including methylated and phosphorylated protein species.

Candidate requirements

An MSc degree (or equivalent experience) in computational protein science, biochemistry or molecular cell biology with a strong component of computational biology and/or protein 3D structure prediction and analysis.  Experience in computational and experimental protein science: Candidates with experience in protein 3D structure analysis, protein expression and characterization will be prioritized. Programming Skills: Working knowledge in standard scripting languages such as R and Python is recommended. Experience in protein 3D structure prediction and analysis by AlphaFold, RosettaFold, or similar tools is recommended.

Analytical thinking and problem-solving skills with a passion for scientific research. Willingness to engage in interdisciplinary research projects and collaborate with a diverse and international team of scientists and students.  Willingness to take on various tasks and adapt to new challenges. Mobility is a requirement as part of this international research project. Communication Skills: Proficiency in the English language (speaking, reading, writing) and excellent communications and presentation skills.

Other information

What We Offer:

• Cutting-Edge Research: Join one of Europe’s leading mass spectrometry and proteomics research groups.
• Advanced Methodologies: Develop novel computational and experimental techniques to improve protein and proteome analysis in cancer and cell signaling research.
• Collaborative Environment: Be part of our interdisciplinary team with protein biochemistry, bioinformatics, and mass spectrometry expertise.
• State-of-the-Art Facilities: Access SDU UCloud high performance computer for protein structure prediction and analysis. take advantage of our advanced laboratory facilities and mass spectrometry instruments for testing of novel designer-binders.
• International Exposure: Present your findings for MIPrecise partners, participate in conferences and collaborate with experienced researchers.
• Benefit from competitive salary and social benefits, including health coverage and support for international candidates (relocation, visa assistance).

Supervisor information

Professor Ole Nørregaard Jensen
Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark