About this role
Role Overview
Apply bioinformatics and medicinal chemistry expertise to help train next-generation AI systems through high-quality scientific analysis, data evaluation, and expert feedback.
Key Responsibilities
- Analyze complex medicinal chemistry datasets using advanced bioinformatics methods.
- Provide detailed scientific content and input to support AI model development and training.
- Curate, annotate, and validate datasets used in drug discovery and molecular analysis.
- Synthesize findings from biological, chemical, and clinical data sources.
- Advise on experimental design and data interpretation within medicinal chemistry.
- Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
- Deliver thorough written feedback and actionable recommendations to improve model performance.
Qualifications
- Medicinal chemistry expertise is required.
- Advanced degree, such as a PhD or MSc, in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related field.
- Strong knowledge of medicinal chemistry, including structure-activity relationships and drug-design principles.
- Experience working with and interpreting large-scale omics or cheminformatics datasets.
- Familiarity with bioinformatics tools, databases, and programming languages, including Python, R, RDKit, or KNIME.
- Clear scientific communication skills and the ability to explain complex technical concepts.
- Research experience spanning biology, chemistry, and data science.
- Experience collaborating in multidisciplinary or remote environments is beneficial.
Work Terms
- Remote independent-contractor engagement.
- No prior AI experience is required; domain expertise is the primary requirement.
Compensation
$90 to $120 per hour.