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Bioinformatics Scientist

Job in Boise, Ada County, Idaho, 83701, USA
Listing for: micro1 Inc.
Part Time position Listed on 2026-11-12
Job specializations:
Salary/Wage Range or Industry Benchmark: 96000 - 165000 USD Yearly USD 96000.00 165000.00 YEAR

Job Description & How to Apply Below

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.
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