Associate Director, AI & Advanced Analytics

CSL

1d•$181,000 - $214,000•Hybrid

About The Position

CSL's R&D organization is accelerating innovation to deliver greater impact for patients. With a project-led structure and a focus on collaboration, we’re building a future-ready team that thrives in dynamic biotech ecosystems. Joining CSL now means being part of an agile team committed to developing therapies that make a meaningful difference worldwide. Could you be our next Associate Director, AI & Advanced Analytics? The job is in our King of Prussia, PA, Waltham, MA, Maidenhead UK or Melbourne Australia Office. This is a hybrid position and is onsite three days a week. You will report to the Senior Director, AI/ML Advanced Analytics, Automation & Digital Agent CoE You will support the deployment and scaling of AI/ML models, digital agents, and automation solutions across R&D. Contributes to technical delivery, stakeholder coordination, and responsible governance practices to enable innovation and efficiency.

Requirements

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).

Responsibilities

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