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 Scientist/Associate Principal Scientist, AI
Builds
AI-driven biologics discovery solutions and agentic AI systems
Domain
Biologics R&D, computational biology, protein science
Deliverable
production ML models
Required skills
Machine learning/deep learning model development, Python programming, multi-modal machine learning, large-scale biological dataset curation, protein science domain knowledge, self-supervised learning, supervised learning
Preferred skills
Agentic AI development, large-scale cloud computing, modern data engineering practices, protein modeling expertise, biologics drug discovery understanding
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 integrating ML with domain knowledge; identify and evaluate innovative technologies; contribute to scientific publications and patents; develop agentic AI solutions; build local partnership opportunities
Seniority
Senior, hands-on IC
