Senior AI/ML Engineer - Research Data AI and Predictive Modeling (Vaccine R&D)
Core
Lead the implementation of an AI-ready research data ecosystem and develop predictive models to accelerate vaccine discovery and development by connecting diverse scientific datasets.
Role type
Senior AI/ML Engineering leader (Research Data & Predictive Modeling)
Builds
Scalable, AI-ready data architectures, automated data pipelines, knowledge graphs, and predictive/translation models for vaccine candidates.
Domain
Life Sciences / Vaccine R&D / Artificial Intelligence
Deliverable
production ML models | product features
Required skills
Python, PyTorch/TensorFlow, data architecture design, data integration, semantic data modeling, metadata standards, knowledge graphs, cloud/HPC environments, cross-functional technical leadership.
Preferred skills
FAIR data principles, immunology/multi-omics/vaccine datasets, generative AI/RAG/agentic AI, translational modeling, scientific publications/patents.
Technologies
PyTorch, TensorFlow, cloud platforms, HPC, knowledge graph systems, RAG frameworks.
Responsibilities
Design integrated data architectures connecting heterogeneous scientific datasets; develop automated data ingestion and transformation pipelines; build knowledge graphs and retrieval systems; develop and deploy ML approaches for immune response insights; translate AI objectives into technical roadmaps; mentor teams in AI best practices.
Seniority
Senior, hands-on IC with strategic leadership
