Bioinformatics Scientist

micro1 Inc.; United States; Remote; USD 96,000 - 165,000; Part time

Job summary

micro1 Inc. is seeking a Bioinformatics Scientist for a remote contractor role. You will apply domain knowledge to train next-generation AI systems, shaping how models learn, reason, and perform with high-quality real-world input. No AI prior experience required—domain expertise matters.

The role emphasizes medicinal chemistry analytics, data curation, and cross-disciplinary collaboration in a remote setting. Strong communication and advanced bioinformatics training are essential.

Qualifications

• Advanced degree in bioinformatics or related field.
• Experience with omics or cheminformatics data.
• Strong communication of complex ideas.

Responsibilities

• Analyze datasets in medicinal chemistry using bioinformatics methods.
• Provide scientific input to train AI models.
• Curate, annotate, and validate drug discovery datasets.
• Synthesize findings from biological, chemical, and clinical data.
• Offer expertise on experimental design and data interpretation in medicinal chemistry.
• Assess AI outputs for accuracy, relevance and reliability.
• Deliver actionable feedback for model improvement.

Skills

Python

R

Molecular data handling

Omics data

Scientific communication

Education

PhD or MSc in Bioinformatics

Tools

RDKit

KNIME

Bioconductor

Job description

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

1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
2. Provide detailed scientific input and content to support the development and training of AI models.
3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
7. Deliver comprehensive written feedback and actionable recommendations for model improvement.

Preferred Qualifications

1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
7. Experience collaborating in multidisciplinary or remote project environments is advantageous.