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Advisor - AI-Guided Optimization for Biologics
Scorpion Therapeutics
📍
estado de méxico, Mexico
Location
estado de méxico
Posted
June 04, 2026
Commute
Local Area
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Job Description
Primary Responsibilities
- Active Learning & Multi-Objective Optimization: Design and establish Active Learning pipelines for multi-objective optimization balancing affinity, specificity, stability, immunogenicity, and manufacturability; include multi-property guidance, Pareto-optimal search strategies, and uncertainty quantification.
- Reward & Surrogate Modeling: Design and train reward models and discriminative classifiers (e.g., affinity ranking, stability prediction, developability scoring) as objective functions for optimization loops.
- Reinforcement Learning for Generative Model Alignment: Develop and implement RL strategies (PPO, DPO, reward-weighted approaches) to fine-tune generative models (autoregressive transformers, diffusion models) toward biologic sequences with desired therapeutic properties; assess when RL vs Bayesian Optimization/Active Learning is warranted.
- Agentic DMTA Pipelines: Build AI-orchestrated, semi-autonomous pipelines...