Senior Developer Relations, Automated Synthetic Chemistry Science Lead

What you'll do

• Coordinate research priorities, technical execution, campaign plans, and program achievements.
• Lead science initiatives and integrate automated experimentation, analytical data, curation, model retraining, and campaign decisions into a closed-loop workflow.
• Establish workstream governance and prepare leadership readouts on progress, decisions, dependencies, resources, and risks.

What they ask for

• PhD or equivalent experience.
• Deep expertise in experimental optimization and principle-based reasoning.
• Understanding of automated experimental platforms, analytical readouts, metadata, quality control, and unsuccessful-data capture.
• Experience leading large interdisciplinary teams across science, automation, machine learning, data platforms, analytics, software engineering, and partner execution.

Nice to have

• Owned an experimental optimization platform, automated lab effort, AI-enabled science initiative, or high-impact applied research program.
• Familiarity with GPU-accelerated scientific computing, simulation, AI agents, or large-scale data infrastructure.

Pay

224,000 USD - 356,500 USD (base salary, Level 5); 272,000 USD - 431,250 USD (base salary, Level 6)

Tools

machine learning, automated systems, AI modeling, data infrastructure, GPU-accelerated scientific computing, AI agents

AI focus

Guides AI for feasibility assessment, outcome prediction, optimization, scope exploration, and campaign orchestration; integrates model retraining into automated experimental workflows.