Remote Bioinformatics Scientist — AI for Drug Discovery

Frontier AI Lab; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

Remotebridge is seeking a Bioinformatics Scientist (Contractor) to contribute specialized expertise to an innovative AI training project. You will analyze medicinal chemistry datasets, curate and validate data, and provide expert input on experimental design and data interpretation.

This role emphasizes remote collaboration and scientific excellence, with a focus on learning patterns for next-generation AI systems.

Qualifications

• PhD or MSc in Bioinformatics, Computational Biology, Medicinal Chemistry, or related discipline.
• Experience handling large-scale omics or cheminformatics datasets.
• Strong scientific communication skills to articulate complex ideas clearly.
• Familiarity with Python, R, RDKit, KNIME and related tools.

Responsibilities

• Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
• Provide detailed scientific input to support 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.

Skills

Omics data analysis

Research collaboration

Scientific communication

Remote collaboration

Biology and data science integration

Education

PhD or MSc in Bioinformatics, Computational Biology, Medicinal Chemistry

Tools

Python

R

RDKit

KNIME

Job description

Remotebridge is seeking a Bioinformatics Scientist (Contractor) to contribute specialized expertise to an innovative AI training project. You will analyze medicinal chemistry datasets, curate and validate data, and provide expert input on experimental design and data interpretation.

This role emphasizes remote collaboration and scientific excellence, with a focus on learning patterns for next-generation AI systems.