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Computational Biology & Cheminformatics Expert

Pay
$80–$110/hr
Type
Hourly
Spots left
50
Location
Remote
Posted
August 3, 2026

Good fit for: software engineers, developers, and programmers.

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Listing verified on the platform’s official board. Last checked September 25, 2026.

Role Title: Computational Biology & Cheminformatics Expert

Role Type: Contractor

Location: Remote

micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work

  • Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  • Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  • Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  • Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  • Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  • Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  • Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.

Preferred Qualifications

  • Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  • Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  • Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  • Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  • Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  • Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  • Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.
Applying via micro1: micro1 screens with an AI interview ("Zara") and pays weekly once placed. Free to apply; most roles are long-running contracts.

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