Senior scientist translation research – AI Protein Structure & Design
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Monthly Salary:
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
Key words: Protein Design Structure Prediction AI Platform Engineering Valorization
About us
About the role
We are seeking a Senior Computational Biology Scientist in AI Protein Structure Prediction and Design to help build and translate AIdriven capabilities for biologics design and protein engineering. The role combines protein structural insight with handson ML development: adapting and applying stateoftheart structure prediction and design frameworks training/finetuning models and running scalable computational campaigns.
Key responsibilities
- 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 VIBs valorization projects.
- Train fine-tune benchmark and apply stateoftheart 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 largescale computational experiments.
- Run and manage highthroughput 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.
Your profile
- PhD with 5 years of postdoctoral and/or relevant industry experience demonstrating scientific independence technical depth and a strong track record of applied research in Computational Biology Structural Biology Protein Engineering Machine Learning or a closely related field.
- Strong understanding and demonstrated track record in protein structure modelling methods with handson experience in protein or biologics design and engineering.
- Handson experience with common machine learning / deep learning frameworks (eg. PyTorch or JAX) applied to biological or structural data.
- Solid Python programming skills with experience building maintainable and portable code for scientific workflows with Nextflow (or comparable)
- Practical experience running largescale computational workloads on HPC or cloud infrastructure (e.g. job schedulers parallelization data latency).
- Ability to critically interpret computational protein designs in a biophysical and therapeutically relevant context (e.g. binding stability developability).
- A pragmatic collaborative mindset with a keen interest in biotechnology translation platform building valorization projects and venture building.
Desirable / Plus
- Experience working in labintheloop settings iterating computational designs with experimental or wetlab validation and feedback.
- Handson experience with biophysicsguided modelling and forcefieldbased approaches (e.g. Rosetta FoldX or related methods) ideally in combination with ML models.
- Prior involvement in computational antibody design platform building for biotech/pharma.
Our offer
- A fulltime position with a flexible hybrid onsite/remote working model combining time at VIB headquarters in Ghent and academic groups at VIBs Research Centers.
- A unique opportunity to help shape a cuttingedge AIdriven biology platform with direct exposure to realworld translational and valorization activities.
- A comprehensive social security package including pension scheme and health care coverage.
- Strong support for lifelong learning with access to VIBs personal and professional development programs.
How to apply
Motivated candidates can apply via the online VIB application form ( The application (in English) should consist of:
- Cover/motivation letter
- CV
Key Skills
- Laboratory Experience
- Machine Learning
- AI
- Bioinformatics
- Biochemistry
- Assays
- Research Experience
- Next Generation Sequencing
- Drug Discovery
- Research & Development
- Natural Language Processing
- Molecular Biology
