Chemical Biologist

• Job Description
• Chemical Biologist
• Contract
• Remote

Job Summary

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.

Key Responsibilities

• Design and synthesize small molecules, chemical probes, and compounds for the investigation and manipulation of key biological systems.
• Apply state-of-the-art chemical techniques to selectively label and modify proteins, nucleic acids, and other biomolecules within cells.
• Develop and evaluate new methodologies to study post-translational and chemical modifications in biological pathways relevant for AI bioscience datasets.
• Collaborate on the creation and assessment of rubrics for data generation, annotation, and evaluation to enhance AI training quality.
• Analyze experimental data, interpret results, and communicate findings through clear, compelling written and verbal reports to multidisciplinary teams.
• Identify and recommend innovative approaches for integrating chemical biology insights into AI-driven research initiatives.
• Contribute domain expertise to the continuous improvement of AI data curation and training methodology.

Required Skills and Qualifications

• Bachelor’s degree or higher in Chemical Biology, Chemistry, Biology, or a closely related field.
• Expertise in the design and synthesis of natural and synthetic compounds.
• Hands-on experience with chemical and biochemical techniques for studying biological macromolecules and cellular processes.
• Comprehensive understanding of biological systems and molecular interactions relevant to therapeutic intervention or biomedical research.
• Strong written and verbal communication skills, with a demonstrated ability to clearly document experimental protocols and results.
• Ability to analyze complex datasets and translate scientific findings into actionable insights for AI training.

Preferred Qualifications

• Experience in rubric design or evaluation for data annotation and scientific data quality improvement.
• Advanced degree (Master’s or PhD) in a relevant discipline.
• Prior experience contributing to AI, machine learning, or computational biology projects.