Bioinformatics Scientist - Remote

Bioinformatics Scientist - Remote

Location: Remote
Work Arrangement: Fully Remote
Employment Type: Independent Contractor
Compensation: $86,400–$172,800/year equivalent
Hourly Rate: $45–$90/hour

Annualized compensation is an illustrative equivalent based on 40 hours/week × 48 weeks/year. Actual earnings depend on hours worked, project availability, and approved work.

About the Role

We are seeking a Bioinformatics Scientist with expertise in medicinal chemistry, computational biology, and biological data analysis to support the development and training of next-generation AI systems.

In this remote contractor role, you will apply your scientific knowledge to analyze complex datasets, curate and validate research information, and evaluate AI-generated outputs for scientific accuracy. Your contributions will help improve how AI models interpret biological and chemical information, reason through drug discovery problems, and support scientific research.

Prior AI experience is not required. Strong domain expertise, research capabilities, and the ability to communicate complex scientific concepts are the primary requirements.

Key Responsibilities

• Analyze complex medicinal chemistry datasets using appropriate bioinformatics and computational methodologies.

• Provide detailed scientific input and research content to support AI model development and training.

• Curate, annotate, and validate datasets relevant to drug discovery, molecular analysis, and related research.

• Evaluate and synthesize findings from biological, chemical, and clinical data sources.

• Apply subject matter expertise to experimental design, medicinal chemistry research, and scientific data interpretation.

• Review AI-generated outputs and assess their scientific accuracy, relevance, and reliability.

• Identify errors, limitations, and opportunities for improvement in AI-generated scientific content.

• Provide comprehensive written feedback and actionable recommendations to improve model performance.

Preferred Qualifications

• Advanced degree, such as an MSc or PhD, in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related scientific discipline.

• Strong understanding of medicinal chemistry concepts, including structure-activity relationships (SAR), molecular properties, and drug design principles.

• Demonstrated experience handling, analyzing, and interpreting large-scale omics or cheminformatics datasets.

• Familiarity with bioinformatics and cheminformatics tools, databases, and programming languages such as Python, R, RDKit, and KNIME.

• Strong scientific communication skills, with the ability to explain complex research findings and technical concepts clearly.

• A track record of contributing to research projects involving biology, chemistry, and data science.

• Experience working with multidisciplinary research teams or in remote project environments is advantageous.

Core Skills

• Bioinformatics and computational biology

• Medicinal chemistry and drug discovery

• Cheminformatics and molecular data analysis

• Biological and chemical dataset curation and annotation

• Omics data interpretation

• Wet-lab research knowledge

• Python and R

• RDKit and KNIME

• Scientific research and experimental design

• AI-generated scientific content evaluation

• Technical documentation and scientific communication

Candidates with a strong foundation in bioinformatics and medicinal chemistry, practical research experience, and an interest in advancing AI-assisted scientific discovery are encouraged to apply.