Role overview
We are seeking a Senior Computational Biology Scientist in AI Protein Structure Prediction and Design to help build and translate AI‑driven capabilities for biologics design and protein engineering. The role combines protein structural insight with hands‑on ML development: adapting and applying state‑of‑the‑art structure prediction and design frameworks, training/fine‑tuning models, and running scalable computational campaigns.
What you'll work on
- Design and execute in silico protein and biologics engineering campaigns guided by structural biology and biophysical principles.
- Translate computational outputs into biologically meaningful insights relevant for protein/antibody design in support of VIB’s valorization projects.
- Train, fine-tune, benchmark and apply state‑of‑the‑art AI methods for protein structure prediction and generative protein design (e.g. AlphaFold, OpenFold, Boltz, Chai).
- Develop robust, reproducible and reusable Python code for model training, inference, and large‑scale computational experiments.
- Run and manage high‑throughput workloads on HPC or cloud infrastructure, including parallelization, traceability, reporting and workflow orchestration through Nextflow.
- Collaborate with data/AI engineers, computational biologists, and experimental partners in both academia and industry to advance translational projects towards partnerships, or venture creation.
Tags & focus areas
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