About this role
Role Overview
Apply bioinformatics and medicinal chemistry expertise to help train next-generation AI systems through rigorous, real-world scientific input. This remote contract role focuses on improving how AI models reason and perform in drug discovery and molecular analysis. Prior AI experience is not required.
Key Responsibilities
- Analyze complex medicinal chemistry datasets using advanced bioinformatics methods.
- Provide detailed scientific content and expertise to support AI model development and training.
- Curate, annotate, and validate datasets used for drug discovery and molecular analysis.
- Evaluate and 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
- Advanced degree, such as a PhD or MSc, in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related field.
- Deep 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 software, databases, and programming tools, including Python, R, RDKit, or KNIME.
- Strong scientific communication skills and the ability to explain complex technical concepts clearly.
- Research experience spanning biology, chemistry, and data science.
- Experience collaborating in multidisciplinary or remote environments is beneficial.
Work Terms
- Remote, independent contractor engagement.
Compensation
- $90 to $120 per hour.