About this role

Support development and deployment of AI models, automation scripts, and intelligent agents.
Apply agentic software development approaches to drive innovation across R&D.
Partner with R&D teams and digital leads to identify and prototype use cases aligned to business needs.
Contribute to MLOps processes, model documentation, and system validation workflows.
Help drive platform integration, compliance tracking, and continuous improvement initiatives.
Collaborate on internal capability building (e.g., hackathons, training) and end-user support.
Track success metrics such as usage, performance, and value delivered.

Bachelor's or master's degree in data science, Computer Science, or a related field.
10+ years of experience in AI/ML, analytics, or automation, preferably in R&D or life sciences.
Practical experience building or supporting machine learning pipelines or agent-based tools.
Familiarity with MLOps tools, low-code automation platforms, or scripting languages (e.g., Python, R).
Experience building and publishing solutions using agentic development approaches and tools (e.g., Claude Code, Codex).

Associate Director, AI & Advanced Analytics

Key skills