Biology PhD: SciCode AI Benchmark Engineer

Job Description

Mercor is hiring PhD and Master's scientists to author AI evaluation tasks (Sci Code)

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Mercor is partnering with leading AI labs on a new benchmark for scientific computing. You will author original, executable research problems that today's frontier models cannot solve.

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Domains — depth required in at least two subdomains (with a coding focus)

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• Biology — ecology, biochemistry, genetics
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What you'll do

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• Source your own material: a published paper, a Kaggle dataset, an open-source repository, or a scenario you design
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• Write scientific prompts based on the input
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• Build the grading criteria that define a correct answer
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• Calibrate against frontier models — a task ships only when strong models fail it more often than they succeed
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Required

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• PhD in biology, biological sciences, biochemistry, genetics, ecology, or a closely related field
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• Demonstrated depth in at least two of the following subdomains: ecology, biochemistry, genetics
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• Working proficiency in Python, R, or another relevant programming language for scientific computing
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• Comfortable with Git/GitHub and running code in Docker — authoring runs through a pull-request workflow with automated quality checks
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Preferred

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• Publications in peer-reviewed journals
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• Prior scientific software or research engineering experience
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Engagement

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• Duration: 6 weeks
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• Commitment: part-time, 20+ hours per week
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• Start date: immediate
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Process

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• Upload your resume and application form
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• A 25-minute conversational interview covering your background, experience, and motivations
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• Follow up within a few days with next steps and onboarding
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Apply today and put your research expertise to work building the next generation of scientific AI.