Bioinformatics Scientist (Medicinal Chemistry)

You will support AI training by applying bioinformatics, medicinal chemistry, and drug discovery knowledge to complex scientific data. The work combines dataset curation, scientific review, molecular analysis, and clear feedback that helps improve AI systems.

• Analyze medicinal chemistry datasets with bioinformatics methods.
• Curate, annotate, and validate datasets related to drug discovery and molecular analysis.
• Evaluate and combine biological, chemical, and clinical findings.
• Provide scientific input and written content for AI model development and training.
• Review AI-generated outputs for scientific accuracy, relevance, and reliability.
• Recommend improvements based on experimental design, data interpretation, and scientific judgment.

This is a remote contractor role with flexible scheduling.

• Pay: $45 to $90 per hour.
• Work arrangement: Remote contractor role with flexible scheduling.
• Location: Open to candidates in the listed countries across the Americas, Europe, Africa, Asia, and the Middle East.
• Language: Fluent English.
• Education: An MSc, PhD, or similar advanced degree in bioinformatics, computational biology, medicinal chemistry, or a related field.
• Knowledge: Medicinal chemistry, structure-activity relationships, and drug design principles.
• Experience: Handling and interpreting large-scale omics or cheminformatics datasets.
• Technical skills: Familiarity with bioinformatics tools, databases, or Python, R, RDKit, or KNIME.
• Communication: Ability to explain complex technical concepts clearly in writing and in scientific discussions.
• Helpful background: Experience working with multidisciplinary or remote project teams.

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 3 screening questions.

AI training is the human work behind systems that learn from examples, including reviewing model answers and preparing reliable datasets. People with specialized scientific knowledge help assess whether AI outputs are accurate and useful, which is why advanced expertise matters in this work.