AI/ML Development

• Design, train, and validate ML models using BioCopy’s internal datasets (e.g., peptide array binding data, ValidaTe outputs, structural features, PLM embeddings).
• Integrate geometric DL, transformer architectures, and multimodal models into antibody engineering workflows.
• Establish best practices for data preprocessing, model evaluation, and reproducible research.

Cross-Functional Collaboration

• Work closely with antibody engineers, pHLA biology experts, and software engineers to co-design molecules and translate model predictions into wet-lab experiments.
• Contribute to BioCopy’s AI roadmap and help build scalable, maintainable computational infrastructure.
• Present results clearly to internal teams and leadership

Key responsibilities

• Hold a PhD in computational biology, structural biology, machine learning, bioinformatics, or a related field.

• Have strong experience with deep learning for proteins, such as:

• Protein language models (transformers)

• Geometric deep learning (GNNs, equivariant networks)

• Generative models (diffusion, VAEs)

• Are proficient in Python and frameworks like PyTorch, JAX, or TensorFlow.

• Have experience with antibody modeling, protein structure prediction, or immunology (a strong plus).

• Enjoy working in a fast-paced, highly collaborative biotech environment.

• Are motivated by scientific impact and want to help shape a young and ambitious AI program from the ground up.

What We Offer

• Unlimited employment and 30 days leave
• Flexible work hours, work-life balance
• Opportunity to build BioCopy’s AI/ML capabilities at a pivotal stage of growth.
• Close integration with wet-lab teams and real experimental feedback loops.
• Work on cutting-edge problems in TCRm design and pHLA targeting.
• A collaborative, low-bureaucracy environment where your ideas directly shape strategy.
• Competitive compensation package
• Modern office & lab environment in the Freiburg region with flexible working options.