Sr. Manager, MCICC - AI
Core
Building and optimizing advanced AI systems for drug evaluation and development, connecting target biology with chemical design strategies.
Role type
Senior AI scientist (drug discovery)
Builds
AI models for structure prediction, target-ligand binding prediction, and ADMET prediction
Domain
Pharmaceutical R&D / Computational Chemistry
Deliverable
production ML models
Required skills
Graph neural networks, generative models, PyTorch, TensorFlow, JAX, NumPy, SciPy, Pandas, drug discovery, disease biology, target research
Preferred skills
Small-molecule and/or peptide drug evaluation experience, in vivo pharmacology, immunohistochemistry
Technologies
PyTorch, TensorFlow, JAX, NumPy, SciPy, Pandas
Responsibilities
Iterate collaboratively with scientists and domain experts in biology and chemistry; integrate scientific insights and data into AI models
Seniority
Senior, hands-on IC
