Senior Scientist/Associate Principal Scientist, AI
Core
Design, develop, and implement advanced AI/ML models (self-supervised and supervised) for biologics discovery and engineering, including protein language models and structure prediction.
Role type
Senior IC machine-learning scientist (biologics)
Builds
AI/ML models for protein design, structure prediction, and biologics engineering
Domain
Biopharmaceuticals / Computational Biology
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, JAX, multi-modal machine learning, large-scale biological dataset curation, protein science domain knowledge
Preferred skills
Agentic AI development, cloud computing, biologics drug discovery expertise
Technologies
TensorFlow, PyTorch, JAX
Responsibilities
Design and implement advanced AI/ML models for biologics; collaborate with wet lab scientists to guide experimental design and curate data; analyze complex biological data; identify and evaluate innovative technologies; contribute to scientific publications and patents; build local academic or industry partnerships
Seniority
Senior, hands-on IC
