Science and health

Scientific machine learning and research computing

Scientific machine learning and research computing applies learning methods to scientific modelling and discovery. AI companies need it because a model that scores well on a benchmark is not yet a scientific result, and someone must close that gap.

More AI companies are moving into science and health, and they are finding that scientific claims need checking by the standards of the discipline, not by benchmark scores alone. Two roles are hiring now. Two are still emerging. The tricky part is that strong candidates usually come from scientific computing, applied mathematics or a scientific discipline, and few have shipped in a commercial team. Judge them on how they test a claim, not on their publication list.

Hiring now 2Emerging 2

Roles in this family

4 roles

Hiring nowScientific Machine Learning ScientistA Scientific Machine Learning Scientist builds learned models that obey the physics, chemistry or biology of a problem. They matter because a model…Hiring nowAI Research Software EngineerAn AI Research Software Engineer turns scientific machine learning ideas into software that other people can run, trust and extend. They give a…EmergingAI Scientific Workflow EngineerAn AI Scientific Workflow Engineer connects data, models and instruments into reproducible science pipelines. They make sure results can be traced…EmergingAI Reproducibility SpecialistAn AI Reproducibility Specialist independently reruns AI-supported scientific claims and reports what holds and what does not. They protect the…

Where the people come from

Scientific computing, applied mathematics or a scientific discipline

Not to be confused with. Scientific claims require disciplinary validation beyond benchmark scores.

Core skills

  • Experimental design
  • Deep learning
  • Scientific domain expertise
  • Uncertainty quantification

Where it is used

  • Chemistry and materials
  • Physics and mathematics
  • Scientific laboratories

Routes in and out

People move on to

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