Head of Experimentation (Physics)

Location: Remote

Company

hirify.global combines physics, AI, and engineering to accelerate scientific discovery and develop consequential technologies.

What you will do

• Set experimental priorities and translate research objectives into executable programs with clear milestones and decision criteria.
• Lead the design, commissioning, and operation of experimental apparatus and measurement systems.
• Recruit, manage, and develop experimental physicists, research engineers, and technicians.
• Establish standards for calibration, data quality, uncertainty analysis, systematic errors, and reproducibility.
• Connect experimental results to modeling, AI research, and further technology development.
• Manage equipment plans, budgets, schedules, laboratory resources, and safety oversight while troubleshooting difficult measurements.

Requirements

• Eight or more years of experimental research or scientific instrumentation experience, including at least three years of direct people management.
• Demonstrated experience designing, building, and operating complex experimental systems and producing defensible results.
• Deep expertise in at least one experimental physics discipline, with the breadth to lead specialists outside that field.
• Strong command of calibration, measurement uncertainty, systematic errors, experimental controls, scientific programming, data analysis, and instrument automation.
• Experience hiring technical teams and managing laboratory resources, equipment budgets, and demanding development schedules.
• PhD in physics, applied physics, engineering, or an equivalent record of experimental achievement.

Nice to have

• Experience establishing a laboratory or developing first-of-a-kind scientific instruments.
• Experience translating experimental results into reliable prototypes or industrial applications.
• Experience working across multidisciplinary research teams, industry, or national laboratories.

Culture & Benefits

• Work closely with Physics, AI, and Engineering teams.
• Emphasis on ambitious scientific judgment, technical ownership, and reliable execution.
• AI is used throughout the work, with outputs held to the same evidentiary standards as other research.
• Leadership remains closely engaged with the science, apparatus, and people doing the work.