Computational Biology & Cheminformatics AI Training Expert

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. It helps specialists discover opportunities, build a credible AI training profile, and grow their work into a long-term freelance career.

OpenTrain AI is recruiting contractors for this computational drug discovery AI training opportunity. Creating an OpenTrain account is free.

About AI Training in Computational Drug Discovery

AI training is the human side of building artificial intelligence. In specialized scientific projects, experts prepare and review data, create realistic benchmark tasks, and evaluate whether model-generated answers are accurate, rigorous, and useful in practice.

This role contributes to cutting-edge AI systems by applying computational biology, cheminformatics, and drug discovery judgment to chemical, biological, and bioactivity data.

The Role

As a Computational Biology and Cheminformatics AI Training Expert, you will support AI development for computational drug discovery. The work combines scientific analysis, code-based task development, reproducible technical environments, and detailed evaluation of AI-generated scientific outputs.

This is a worldwide, remote contractor opportunity listed at the entry level, with a commitment of 20+ hours per week. The role requires advanced subject-matter expertise and strong practical programming ability.

• Employment type: Contractor and part-time
• Time requirement: 20+ hours per week
• Work location: Worldwide and remote
• Language: English
• Compensation: $80-$110 per hour

What You'll Do

You will analyze drug discovery data, develop realistic technical benchmarks, and assess the quality of AI-generated scientific reasoning. Your work will help make AI systems more reliable for computational biology and chemistry applications.

• Analyze and interpret small-molecule and drug discovery datasets using computational biology, bioinformatics, and cheminformatics methods.
• Curate, annotate, and validate chemical and biological datasets from resources such as ChEMBL, PubChem, and DrugBank.
• Evaluate compound-target interactions, ADMET properties, lead optimization strategies, and SAR or SPR relationships.
• Develop benchmark tasks in terminal or command-line environments that represent realistic computational drug discovery scenarios.
• Build reproducible environments with tools such as Docker.
• Create automated tests for task correctness and solvability.
• Review AI-generated scientific outputs and provide written feedback on accuracy, rigor, and practical relevance.
• Write recommendations that communicate complex chemical and biological concepts clearly.

Required Expertise and Technical Skills

This opportunity requires advanced expertise in computational biology, cheminformatics, medicinal chemistry, biochemistry, or a related discipline. You should be able to combine scientific judgment with hands-on software development and technical evaluation.

• Advanced expertise in computational biology, cheminformatics, medicinal chemistry, biochemistry, or a related discipline.
• Strong Python proficiency beyond analysis scripts, including experience building tools, pipelines, or testable code.
• Familiarity with Git, GitHub, and Docker.
• Experience with cheminformatics platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
• Practical experience with small-molecule drug discovery, SAR or QSAR evaluation, ADMET prediction, or virtual screening.
• Ability to curate and integrate chemical and bioactivity data from public databases.
• Skill in judging AI-generated scientific outputs.
• Ability to communicate technical recommendations clearly in written reports and feedback.

Who Should Apply

This role is suited to a computational scientist, cheminformatician, medicinal chemist, biochemist, or related expert who enjoys applying scientific knowledge to practical AI evaluation. It is a strong fit for someone who can move between molecular data, code, reproducible environments, and careful written review.

• You have advanced knowledge of computational biology, chemistry, or a closely related field.
• You can build and test Python tools and pipelines rather than relying only on exploratory scripts.
• You understand drug discovery concepts such as SAR or QSAR, ADMET, virtual screening, or compound-target analysis.
• You can assess whether AI-generated scientific outputs are accurate, rigorous, and practically relevant.
• You communicate complex technical ideas clearly and precisely.

Why Build Your AI Training Career with OpenTrain

AI training and data labeling are expanding ways to work at the intersection of technology and human expertise. OpenTrain gives you one place to discover relevant projects, showcase your experience, and build a profile that supports continued growth in this field.

As an OpenTrain contractor, you can contribute directly to how advanced AI systems understand scientific data and solve specialized problems.

• Work remotely from anywhere with an internet connection.
• Choose flexible project work that can fit around other commitments.
• Build a visible portfolio of specialized AI training experience.
• Apply your computational biology and cheminformatics expertise to emerging AI systems.