PhD Scientist — STEM Expert

Xperteez Technology•,
•$45 - $90•Remote

About The Position

The PhD Scientist — STEM Expert creates challenging technical problems grounded in their own research, including realistic constraints and supporting data. They provide correct solutions with clear reasoning and establish objective criteria that allow other researchers to assess correctness consistently. They also review problems created by other contributors for technical accuracy and sound methodology, and flag problems that are ambiguous or cannot be graded. This is a contractor role that is fully remote worldwide, with a flexible commitment designed to fit alongside a current role. A completed PhD in a STEM field is required, as is hands-on research experience. Wet-lab, research-lab, or academic experience is strongly preferred. Publications or other evidence of research contributions are a strong plus; prior work on AI training or evaluation projects is helpful but not required.

Requirements

  • Completed PhD in a STEM field.
  • Hands-on research experience, including work personally conducted.
  • Ability to explain why an answer is correct clearly enough for another researcher to verify it.
  • Research skills.
  • Data analysis skills.
  • Experimental design skills.
  • Scientific writing skills.
  • Statistical analysis skills.
  • Laboratory skills.
  • Wet-lab skills.
  • Clinical research skills.
  • MATLAB skills.
  • Python skills.
  • SolidWorks skills.
  • Biostatistics knowledge.
  • Epidemiology knowledge.
  • Clinical trials knowledge.
  • Data visualization skills.
  • Spectroscopy knowledge.
  • Chromatography knowledge.

Nice To Haves

  • Wet-lab, research-lab, or academic experience is strongly preferred.
  • Publications or a record of research contribution.
  • Prior experience on AI training or evaluation projects.

Responsibilities

  • Design difficult technical problems based on personal research, with realistic constraints and supporting data.
  • Provide the correct solution and explain the reasoning clearly enough for another researcher to verify it.
  • Define objective criteria for correctness so reviewers can reach consistent conclusions.
  • Review other contributors’ problems for technical accuracy and sound methodology.
  • Flag problems that are ambiguous or cannot be graded.
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