Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include BenchmarkGeneral CatalystPeter ThielAdam DAngeloLarry Summers and Jack Dorsey.
Design graduate-level computational problems using domain-specific scientific software libraries like scanpyscvelosquidpy and gudhi.
Evaluate AI models by creating tasks that require strategic reasoning and interpretation of partial observations.
Refine problem designs through a calibration loop with state-of-the-art AI models to achieve target difficulty.
Develop problems for single-cell RNA-seq analysistrajectory inference and spatial transcriptomics.
Work independently and asynchronously to iterate on problem designs based on feedback.
Collaborate with AI research teams to enhance problem-solving strategies and model performance.
Qualifications
Must-Have
Graduate-level training in a relevant STEM domain (MS PhD or equivalent research experience).
Proficiency with scientific software libraries like scanpyscvelosquidpy and gudhi.
Strong Python programming skills.
Ability to work in a Linux/terminal environment with remote compute sandboxes.
Available for at least 1520 hours per week.
Preferred
Experience across multiple domains or tools.
Familiarity with benchmark or evaluation design.
Background in scientific pedagogy or exam/problem-set design.
Experience with computational reproducibility and containerized environments.
Application Process (Takes 2030 mins to complete)
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About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include Benchmark General Catalyst Peter Thiel Adam DAngelo Larry Summers and Jack Dorsey. Position: STEM Computational Scientific Software & Evaluation Desig...
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include BenchmarkGeneral CatalystPeter ThielAdam DAngeloLarry Summers and Jack Dorsey.