Help shape the future of AI in Biopharmaceutical Development and accelerate how we bring biologic medicines to patients
Job Summary
Help shape the future of AI in Biopharmaceutical Development and accelerate how we bring biologic medicines to patients.
Architect and deliver advanced GenAI and agentic AI capabilities for knowledge retrieval, workflow automation, scientific documentation, and decision support.
Drive MLOps and productionization: CI/CD for models and apps, monitoring and drift detection, observability dashboards, human-in-the-loop review, safe rollout practices, and compliance with AZ production readiness standards.
Matching Summary
Help shape the future of AI in Biopharmaceutical Development and accelerate how we bring biologic medicines to patients.
Skills & Requirements
Must-have
GenAI and agentic AI solutions
LLMs, GenAI, RAG, agentic systems
Python, TensorFlow, PyTorch
Vector databases, embedding models
CI/CD, model deployment, monitoring
Secure front-end user experiences
Nice-to-have
Experience in biologics development
AI safety, guardrails, red-teaming
Collaborating across time zones
Agile and Lean practices
Key Requirements
Master’s or PhD in Computer Science, Data Science, Mathematics, Engineering, or related field
Substantial experience building production AI applications
Experience in a regulated enterprise or scientific environment
Experience with Docker, Kubernetes, microservices, APIs