Computational/AI Scientist: The Department of Cellular & Molecular Medicine at KU Leuven is seeking a motivated and skilled individual for a postdoctoral position focused on computational biology, particularly in AI-guided antibody design and protein modeling. This role is part of an innovative immuno-oncology platform in collaboration with PharmAbs.
Designation
Computational/AI Scientist
| Attribute | Details |
|---|---|
| Research Area | Computational Biology, AI-guided Antibody Design, Immuno-oncology |
| Location | KU Leuven, Leuven, Belgium |
| Eligibility/Qualification | PhD in Computational Biology, Chemi-informatics, AI-guided Antibody Design, Insilico Drug Discovery, or related fields |
| Job Description | Focus on building advanced antibody engineering pipelines, utilizing cutting-edge machine learning models and multi-omics data integration to guide therapeutic antibody design and optimization. Collaborate with multiple teams and communicate findings effectively. |
| How to Apply | Interested candidates should apply through the online application tool by sending their application materials. For inquiries, contact Prof. Dr. Abhishek Garg at abhishek.garg@kuleuven.be or Mr. Nick Geukens at nick.geukens@kuleuven.be. |
| Last Date to Apply | April 13, 2026 |
Research Area
The position emphasizes advanced machine learning and computational biology applications in immuno-oncology, aiming to derive actionable insights from high-volume cancer patient data.
Eligibility/Qualification
- PhD in relevant fields (Computational Biology, Chemi-informatics, AI-guided antibody design, etc.)
- Experience with machine learning model implementation and antibody design tools.
- Proficiency in Python and Bash scripting.
- Strong publication track record and a collaborative spirit.
Job Description
As a Computational/AI Scientist, you will:
- Develop and implement antibody generation and optimization pipelines.
- Use state-of-the-art machine learning approaches (e.g., AlphaFold, RFdiffusion) for therapeutic antibody design.
- Work independently and collaboratively to analyze data, document work, and communicate findings.
How to Apply
Candidates interested in this position should submit their application through the specified online application tool by the deadline. Direct inquiries can be made to Prof. Dr. Abhishek Garg or Mr. Nick Geukens via their respective email addresses.
Last Date for Apply
All applications must be submitted by April 13, 2026, at 23:59 CET.
