Job Description: Bioinformatics Scientist

Role Type: Contractor
Location: Remote

About the Role

We are seeking experienced Bioinformatics Scientists to contribute their specialized expertise to an innovative project focused on advancing AI systems.

In this role, you will apply your knowledge of bioinformatics, computational biology, and medicinal chemistry to analyze complex scientific datasets, support AI model development, and evaluate AI-generated outputs. Your contributions will help improve the accuracy, reliability, and scientific reasoning capabilities of next-generation AI systems.

Prior experience in AI is not required; relevant scientific and technical expertise is what matters.

Key Responsibilities

1. Analyze complex medicinal chemistry datasets using advanced bioinformatics methodologies.

2. Provide scientific insights and high-quality content to support AI model development and training.

3. Curate, annotate, and validate datasets related to drug discovery and molecular analysis.

4. Analyze and interpret findings from biological, chemical, and clinical data sources.

5. Provide subject matter expertise on experimental design and data interpretation in medicinal chemistry.

6. Evaluate AI-generated outputs for scientific accuracy, relevance, and reliability.

7. Deliver detailed written feedback and actionable recommendations to improve AI model performance.

Preferred Qualifications

• Advanced degree (MSc or PhD) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.

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

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

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

• Excellent scientific communication skills, with the ability to explain complex technical concepts clearly.

• Proven experience contributing to research projects at the intersection of biology, chemistry, and data science.

• Experience working in multidisciplinary or remote project environments is an advantage.