ML Research Consultant (AB2026-101)
Core
Design, implement, and evaluate machine learning classifiers and generative models to translate functional activity data into breakthrough biologics for GPCR agonist antibody discovery.
Role type
ML Research Consultant (Biotech/Drug Discovery)
Builds
Therapeutic design platform for functionally active antibodies
Domain
Biotechnology / Drug Discovery / Computational Biology
Deliverable
production ML models
Required skills
Deep learning model development, PyTorch, Python, scientific computing (NumPy, Pandas, scikit-learn), Transformer architectures, RNNs, GNNs, statistical methods for life sciences, software engineering best practices
Preferred skills
Computational structural biology, NGS analysis, flow cytometry, Protein Large Language Models (PLLMs), Reinforcement Learning (RL), antibody developability modeling, molecular/cell biology
Technologies
PyTorch, NumPy, Pandas, scikit-learn, Git
Responsibilities
Design and implement state-of-the-art ML models for predicting functional activity of GPCR agonist antibodies; Design and implement generative models using Reinforcement Learning or Bayesian Optimization for de novo antibody design; Design and execute rigorous ML experiments with documented outcomes
Seniority
Mid-Senior (2+ years hands-on experience required)
