Science Data & Experimental Design Lead

Reinforced Learning; Town of Tonawanda (NY); On-site; USD 95,000 - 150,000; Full time

Job summary

Reinforced Learning in the United States seeks a research-focused scientist to lead experimental design, data interpretation and literature synthesis. You’ll manage programs across biology, chemistry and physics, collaborating with PhD- and postdoc-level researchers to create tasks that test scientific reasoning.

Your PhD in a natural science with a track record of reviewing others’ work, strong writing, and the ability to run several task families at once are essential.

Qualifications

• A PhD in a natural science with post-PhD research experience.
• Breadth across methods and a track record of reviewing other people’s work.
• Strong writing and the organisation to run several task families at once.
• Python or R for handling data.

Responsibilities

• Task families in biology, chemistry, physics and adjacent fields, defined with partner research teams.
• A contributor bench of researchers at the PhD and postdoctoral level.
• Rubrics that distinguish a plausible explanation from a correct one.
• Fixtures built from real or realistic experimental data.
• Review of delivered work for accuracy and reproducibility.

Skills

Breadth across methods

Strong writing

Reviewing others' work

Python or R

Education

PhD in natural science

Job description

Reinforced Learning in the United States seeks a research-focused scientist to lead experimental design, data interpretation and literature synthesis. You’ll manage programs across biology, chemistry and physics, collaborating with PhD- and postdoc-level researchers to create tasks that test scientific reasoning.

Your PhD in a natural science with a track record of reviewing others’ work, strong writing, and the ability to run several task families at once are essential.