Senior Developer Relations, Automated Synthetic Chemistry Science Lead

Responsibilities

• Coordinate the operating plan across research priorities, technical execution, and program achievements.
• Convert research objectives into experimental priorities, parameter-space development, campaign planning, and success criteria.
• Lead research initiatives encompassing synthetic chemistry, catalysis, process chemistry, machine learning, automated systems, and data processing.
• Build standardized experimental traces capturing successful and unsuccessful outcomes, metadata, quality-control signals, analytical summaries.
• Guide AI systems for feasibility assessment, outcome prediction, optimization, scope exploration, and campaign orchestration.
• Integrate automated experimentation, analytical data streams, data curation, model retraining, and campaign decisions into a closed-loop operating model.
• Establish science-stream governance: build reviews, decision logs, risk and dependency tracking, quality thresholds, and paths for addressing blocking issues.
• Prepare recurring workstream readouts for program leadership, including scientific progress, critical decisions, cross-team dependencies, resource needs, and unresolved risks.
• What we need to see
• PhD (or equivalent experience) with 10+ years of hands-on experience in experimental science, chemical engineering, material science, robotics, automation, analytical science, platform development, AI enabled science workflows, or equivalent experience.

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