Summary

Own post-training for biological foundation models, adapting them to therapeutic contexts through alignment, biological validation, and production deployment. The work uses Python and PyTorch and applies models to drug discovery; the posting does not specify a work arrangement.

Responsibilities

• Design post-training pipelines for therapeutic contexts
• Build biological validation frameworks using ground truth
• Run end-to-end model training experiments
• Analyze embeddings and perturbation data
• Deploy post-trained models to pharma clients
• Contribute to open-source post-training tooling