Postdoctoral Researcher in Protein Engineering

Job summary

This position is for a postdoctoral researcher focused on the engineering of proteins that respond to environmental conditions, aiming to control biological functions with precision. The role is part of a project funded by the Villum Foundation, which seeks to develop antibodies and binding proteins with condition-dependent activity for applications in targeted therapeutics and biosensing.

Qualifications

• PhD in Computer Science, Machine Learning, Artificial Intelligence, Computational Biology, or a related field.
• Strong theoretical and practical experience in deep learning.
• Hands-on experience in developing generative models.
• Proficiency in Python, PyTorch, and/or JAX.
• Experience with training large-scale neural networks on HPC or GPU clusters.
• Strong publication record in relevant AI/ML venues or interdisciplinary journals.

Responsibilities

• Design and implement deep learning architectures for generating binding proteins.
• Develop and optimize generative models for binding protein design.
• Collaborate with wet lab scientists to express and test designs.
• Publish research findings in impactful journals and contribute to grant applications.
• Manage scientific projects and mentor students.

Skills

• Experience with protein language models and structure prediction frameworks is advantageous.
• Familiarity with geometric deep learning or graph neural networks is a plus.
• Experience with MLOps and scalable AI infrastructure is beneficial.

Education

• A formal qualification of a PhD degree (or equivalent) is required.

Tools

• Proficiency in Python, PyTorch, JAX, and experience with HPC or GPU clusters.