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Scope is worldwide and no work-authorisation, presence, language, timezone, or credential restriction was found in the body text.
“Worldwide”
Geographic scope — No location restrictions stated — worldwide.
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
