Remote Bioinformatics Researcher: MedChem & AI Data

• Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
• Provide detailed scientific input and content to support the development and training of AI models.
• Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
• Evaluate and synthesize findings from biological, chemical, and clinical data sources.
• Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
• Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
• Deliver comprehensive written feedback and actionable recommendations for model improvement.

Requirements

• Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
• In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
• Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
• Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
• Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
• Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.

Application Process

• Easy Apply on Linked In
• Participate in resume evaluation & interview stage