Bioinformatics Scientist

What You'll Do7

• Analyze complex datasets tied to medicinal chemistry using advanced bioinformatics methods.
• Provide detailed scientific input and content that supports 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.

Requirements6

• Advanced degree (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 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.

Preferred Qualifications1

• Experience collaborating in multidisciplinary or remote project environments is advantageous.

Who Should Apply

This role suits a scientist with an advanced degree in bioinformatics or medicinal chemistry who enjoys working with large omics or cheminformatics datasets. You should be comfortable using tools like Python, R, RDKit, or KNIME and able to explain complex scientific ideas in writing. No AI background is required.

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