Bioinformatics Scientist

Requirements

• Advanced degree (PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or related disciplineMust
• In-depth knowledge of medicinal chemistry concepts including structure-activity relationships and drug design principlesMust
• Handle and interpret large-scale omics or cheminformatics datasetsMust
• Scientific communication skills with ability to articulate complex ideas and technical concepts clearlyMust
• Research project contribution at the intersection of biology, chemistry, and data science

What you'll do

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

Keywords

About the role

Role Title: Bioinformatics Scientist Role Type: Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work • 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. Preferred Qualifications • 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. • Experience collaborating in multidisciplinary or remote project environments is advantageous. Originally posted on Himalayas