Bioinformatician Computational Scientist – NGS and AI Driven Antibody Discovery

The Steyaert laboratory is internationally recognized as a leader in the discovery and engineering of nanobodies for applications in structural biology molecular pharmacology and drug discovery.

To keep up with new trends and opportunities we are seeking a highly motivated bioinformatician to support and further develop an advanced nanobody discovery platform that integrates nextgeneration sequencing (NGS) quantitative repertoire analysis and AIbased structural modeling. The successful candidate will play a central role in extracting biological and structural insight from largescale immune repertoire data and in translating these insights into rational modeldriven prioritization of highquality nanobody candidates.

Working at the interface of immunology protein engineering and computational biology the bioinformatician will contribute to the implementation automation and scaling of NGSenabled analytics and AIdriven nanobodyantigen structure prediction and scoring workflows. The position offers a unique opportunity to help define nextgeneration methodologies for antibody discovery by unifying deep sequencing with largescale structural AI.

• Analyze deep NGS data from immunized nanobody libraries and successive selection rounds.
• Develop and maintain pipelines for sequence annotation storage enrichment tracking and familylevel analysis.
• Quantitatively compare sublibraries across selection rounds to identify and prioritize enriching nanobody families.
• Integrate sequence and structurebased profiling tools to assess developability and sequence liabilities.
• Implement and benchmark AIbased nanobodyantigen structure prediction tools (e.g. AlphaFoldbased frameworks) using familyaware ensemble modeling strategies.
• Run largescale structural predictions and interface scoring on HPC infrastructure.
• Rank nanobody candidates using structurebased affinity and interface stability metrics (FoldX Rosetta PRODIGY).
• Contribute to automation and scaling of the full pipeline from NGS data to ranked structural models.

Qualifications

• MSc or PhD in bioinformatics computational biology or related field.
• Strong experience with NGS data analysis and scripting (Python/R).
• Familiarity with immune repertoires protein sequence analysis and HPC environments.
• Interest in antibody/nanobody discovery and proteinprotein interactions.
• Experience with structural bioinformatics or AIbased modeling is a plus.

• A competitive salary and benefits package
• An international and collaborative research environment
• Ability to contribute to a strategically critical transformation
• Opportunities for career development

Scientific Environment and Impact

You will join an experienced team with over two decades of leadership in nanobody discovery and immune repertoire exploitation. The position offers the opportunity to help shape a nextgeneration discovery paradigm that combines highquality immunization strategies deep sequencing and AIdriven modeling to identify nanobodies with advanced functional properties beyond affinity alone. Your work will directly contribute to building a flexible scalable and internationally competitive platform for nanobody discovery and design.

Given the labs strong engagement in technology transfer through spin-off creation you will work at the interface of academic research and venture development.

Please complete the online application procedure ( and include a motivation letter along with a detailed CV.

In case of questions dont hesitate to reach out to .