Description review
Bioinformatics Scientist
micro1 · Remote · back to the listing
HR standards
62/100
needs work
Title ↔ description
65/100
needs work
Reads as
Data Scientist
88% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
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What the listing never says
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
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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
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