Director, AI & Advanced Analytics

CSL
$228,000 - $270,000Hybrid

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 Director, AI & Advanced Analytics? The job is in our King of Prussia, PA, Waltham, MA or Maidenhead UK 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 drive the implementation of AI/ML, advanced analytics, and automation solutions across R&D to improve scientific and operational outcomes. Supports strategy execution, capability development, and stakeholder engagement to deliver scalable, compliant innovation through digital agents and intelligent automation. You will drive the implementation of AI/ML and automation solutions across R&D to improve scientific and operational outcomes. Supports strategy execution, capability development, and stakeholder engagement to deliver scalable, compliant innovation through agentic solution development, digital agents, and intelligent automation.

Requirements

  • Bachelor's or Master's degree in Data Science, Engineering, Computer Science, or related field.
  • Proven experience implementing digital solutions in a scientific, engineering, or technical environment.
  • Strong knowledge of emerging digital technologies relevant to R&D.
  • Experience delivering solutions using agentic development tools such as Claude Code and Codex.
  • Proficiency in data science platforms, MLOps, scripting, and automation tools.

Responsibilities

  • Translate AI/ML and automation strategies into executable plans and projects across R&D functions.
  • Lead development and operationalization of solutions, models, workflows, and agentic tools to support R&D goals.
  • Champion governance practices for AI/ML and automation, including ethical use, validation, and MLOps.
  • Facilitate user adoption through training, community building (e.g., guilds), and communication of success stories.
  • Ensure alignment with enterprise data platforms and existing workflows for seamless integration.

Benefits

  • Total compensation for this role may also include incentive compensation and equity.
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