Science and health

Chemistry, materials and process discovery

Chemistry, materials and process discovery is the work of building models that approximate how matter and reactions behave, then using them to decide what to make or test next. AI companies need it to turn predictions into real substances and processes.

Teams are moving from predicting properties to steering real experiments, and that needs people who understand both the model and the chemistry. The hiring is tricky because strong candidates are rare in both worlds. Model scores can look convincing while the chemistry is wrong, so chemical and physical validity need independent checks. Look for people who build those checks in from the start and say plainly where an approximation stops being useful.

Hiring now 3Emerging 1

Roles in this family

4 roles

Hiring nowMaterials Informatics ScientistA Materials Informatics Scientist predicts material properties and decides which candidates are worth making. They cut the number of lab experiments…Hiring nowAI Computational ChemistAn AI Computational Chemist builds and validates learned models that stand in for expensive chemical calculations. The work lets a company explore…Hiring nowAI Process Optimisation EngineerAn AI Process Optimisation Engineer builds models of chemical or industrial processes and uses them to raise yield and efficiency without breaching…EmergingAutonomous Materials Discovery ScientistAn Autonomous Materials Discovery Scientist links model-driven candidate selection to laboratory testing in a closed loop. They help a company find…

Where the people come from

Chemistry, materials science, chemical engineering or scientific ML

Not to be confused with. Chemical and physical validity require independent checks.

Core skills

  • Experimental design
  • Deep learning
  • Scientific domain expertise
  • Optimisation and operations research

Where it is used

  • Chemistry and materials
  • Scientific laboratories

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