Company: Crossing Hurdles
Location:
Job Description:
- 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 LinkedIn
- Participate in resume evaluation & interview stage
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Posted: September 5th, 2026