Senior Machine Learning Scientist - Boston

iO Associates are supporting a confidential biotech partner in their search for an exceptional Machine Learning Scientist to join their advanced protein engineering team. This is a high-impact R&D role at the intersection of AI, structural biology, and antibody design. This role would be perfect for a hands-on technical PhD or postdoc who thrives on modifying and improving deep learning models, not just applying them.

The team is focused on building and fine-tuning generative and predictive models to support the de novo design, optimization, and validation of next-generation biologics. You'll collaborate closely with experimental scientists and have direct influence on model-guided discovery decisions.

Key Responsibilities:

Develop and refine generative AI models (e.g., LMs, inverse folding, diffusion) for protein and antibody design
Apply tools and improve upon them for real-world applications
Integrate multi-objective prediction tasks into model pipelines
Incorporate 3D structural data to support structure-aware learning and optimization
Collaborate cross-functionally with protein engineers, computational biologists, and bench scientists
Contribute to an iterative DMTA cycle, where your models guide experimental decision-making
Follow best practices in reproducibility, model validation, and scalable ML deployment

Experience:

PhD (or equivalent) in Machine Learning, Computational Biology, Structural Biology, or a closely related field
Demonstrated experience developing or retraining deep learning models for biological applications
Technical fluency with protein modeling tools
Strong programming skills in Python and common ML libraries (e.g., PyTorch, JAX, NumPy, scikit-learn)
Familiarity with antibody structure, design, and developability
Comfortable working with both sequence- and structure-based datasets
Excellent communication and collaboration skills in multidisciplinary environments

This is a Boston based role, that requires an office first work pattern (e.g 3 days per week).

e.hincks @ioassociates.com