Use medicinal chemistry and bioinformatics expertise to curate drug discovery data, evaluate AI-generated scientific content, and improve model reliability. This remote contractor role offers $90 to $120 per hour for 20+ hours weekly.
About OpenTrain
OpenTrain AI is the hiring and contracting organization for this remote opportunity. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping people discover projects, build a professional profile, and apply in minutes.
Creating an OpenTrain account is free. Through this role, your scientific expertise can directly support the development of advanced AI systems.
About AI Training Work
AI training is the human side of building artificial intelligence. Specialists prepare and review examples, evaluate model responses, and provide expert feedback so AI systems become more accurate, useful, and reliable.
This work is remote and often flexible, making it possible to contribute from anywhere with an internet connection. Scientific contributors help shape how cutting-edge AI systems interpret and communicate complex research.
The Role
OpenTrain is recruiting a remote, part-time contractor Medicinal Chemistry Bioinformatics Scientist to support AI model training. You will analyze complex biological, chemical, and clinical datasets, curate and validate drug discovery data, and assess AI-generated scientific outputs.
The role requires advanced training in bioinformatics, computational biology, medicinal chemistry, or a related discipline. It is listed as entry level and requires at least 20 hours per week. The opportunity is worldwide and requires English-language communication.
Compensation ranges from $90 to $120 USD per hour.
- Employment type: Contractor and part time
- Work arrangement: Remote and worldwide
- Time requirement: 20+ hours per week
- Language: English
- Pay: $90 to $120 USD per hour
- Experience level: Entry level
What You'll Do
You will apply medicinal chemistry and bioinformatics knowledge to help prepare high-quality training data and assess the scientific reliability of AI-generated content. Your written recommendations will help improve model behavior and scientific usefulness.
- Analyze medicinal chemistry datasets using bioinformatics methods
- Curate, annotate, and validate data for drug discovery and molecular analysis
- Work with large-scale omics or cheminformatics datasets
- Review AI-generated scientific content for accuracy, relevance, and reliability
- Provide written recommendations that support AI model improvement
- Contribute subject matter expertise on experimental design and data interpretation
Required Qualifications
This opportunity is suited to candidates with advanced academic training and practical experience across medicinal chemistry, bioinformatics, computational biology, or a related discipline. You should be comfortable analyzing scientific datasets and communicating technical feedback clearly.
- Advanced degree such as a PhD or MSc in bioinformatics, computational biology, medicinal chemistry, or a related discipline
- Strong understanding of medicinal chemistry, including structure-activity relationships and drug design principles
- Ability to analyze medicinal chemistry and omics or cheminformatics datasets
- Familiarity with Python, R, RDKit, KNIME, databases, or similar bioinformatics tools
- Strong scientific communication and clear scientific writing skills
- Experience working on multidisciplinary or remote projects
Helpful Background
Experience at the intersection of biology, chemistry, and data science will help you interpret complex evidence and provide useful feedback on AI-generated scientific material.
- Research experience spanning biology, chemistry, and data science
- Practical knowledge of Python, R, RDKit, KNIME, or related tools
- Experience providing written feedback on scientific content
Why This Work Matters
Every major AI system depends on people who prepare examples, evaluate outputs, and identify where models need improvement. In this role, your medicinal chemistry expertise can help AI systems handle drug discovery and molecular analysis with greater accuracy and reliability.
AI training and data labeling are expanding fields that offer remote, flexible ways to contribute to technology. You will work close to the development of state-of-the-art models while applying skills from scientific research.
How to Apply
Apply through OpenTrain to be considered for this remote contractor opportunity. You can create an OpenTrain account for free, build your profile around your scientific background, and apply in minutes.
- Highlight your advanced training in medicinal chemistry, bioinformatics, or a related field
- Describe experience with drug discovery, omics, or cheminformatics datasets
- Include relevant experience with Python, R, RDKit, KNIME, databases, or similar tools
- Showcase clear scientific writing and multidisciplinary research experience