Job Description

Job Description

Computational Chemistry, Structural Biology & Drug Discovery Scientist (PhD) (Remote | $45–$90/hr)

Position: Computational Chemistry, Structural Biology & Drug Discovery Scientist (PhD)

Type: Contractor

Compensation: $45–$90/hour

Location: Remote (Worldwide)

About the Opportunity

This opportunity is for PhD-level scientists to contribute to next-generation AI training and evaluation. You'll develop challenging scientific problems and assess AI-generated answers across computational chemistry, structural biology, and drug discovery.

Key Responsibilities

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• Create expert-level scientific problems with clear, verifiable solutions.
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• Evaluate AI outputs for scientific accuracy, reasoning, and depth.
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• Develop reference answers and evaluation rubrics grounded in scientific literature.
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• Apply expertise in molecular modeling, protein structure prediction, docking, QSAR/ADMET, and omics data analysis.
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• Explain scientific reasoning clearly and participate in feedback and peer-review cycles.
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Required Qualifications

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• PhD in Computational Chemistry, Structural Biology, Biophysics, Bioinformatics, Medicinal Chemistry, Biochemistry, or a related field.
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• Hands-on academic or industry research experience; wet-lab experience is a plus.
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• Professional written and spoken English proficiency (C1 or higher).
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Preferred Qualifications

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• Postdoctoral or pharmaceutical/biotech research experience.
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• Strong publication record, especially first-author papers.
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• Experience with molecular simulations, structure prediction, docking, cheminformatics, proteomics, or metabolomics.
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• Practical Python skills; R, Bash, and machine learning experience are advantageous.
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• Experience in scientific writing, benchmarking, or AI model evaluation.
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Compensation

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• $45–$90/hour.
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• Remote contract opportunity open worldwide.
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• 50 openings listed.
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Application Process

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1. Submit your application with an updated resume highlighting relevant research experience.
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2. Complete the required screening or assessment steps.
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3. Proceed with further evaluation and onboarding if selected.
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