Associate Director, AI & Advanced Analytics

About the role

The Associate Director, AI & Advanced Analytics will support the deployment and scaling of AI/ML models, digital agents, and automation solutions across R&D. They will contribute to technical delivery, stakeholder coordination, and responsible governance practices to enable innovation and efficiency.

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.

Qualifications & Experience

• 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).

Pay

The expected base salary range for this position at hiring is $181,000-214,000 for Waltham MA only. Please note this salary range reflects the minimum and maximum base pay that CSL expects to pay for this position at the time of this posting. Individual base salary for a successful candidate is determined by qualifications, skill level, experience, competencies and other relevant factors. In addition to base salary, total compensation for this role may also include incentive compensation and equity.

Schedule

This is a hybrid position and is onsite three days a week.