Computational Biology AI Training Expert

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help contributors discover specialized projects, build a credible profile, and apply in minutes. Creating an OpenTrain account is free.

• Worldwide remote contractor opportunity
• Part-time schedule of 20+ hours per week
• Hourly compensation of $80-$110 USD
• English-language work

About AI Training in Computational Drug Discovery

AI training is the human side of building artificial intelligence. In scientific applications, experts prepare datasets, create realistic benchmark tasks, and review model-generated work so AI systems can produce accurate, rigorous, and practically useful results.

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

• Help assess how well AI handles specialized scientific problems
• Combine domain expertise with coding and technical evaluation
• Contribute to systems being developed for computational drug discovery

The Role

OpenTrain is seeking a Computational Biology and Cheminformatics AI Training Expert to support AI systems for computational drug discovery. You will work with small-molecule, chemical, biological, and bioactivity data while applying expert judgment to benchmark tasks and AI-generated outputs.

The role combines scientific analysis, code-based task development, reproducible technical environments, and detailed evaluation of whether AI responses are accurate, rigorous, and practically relevant.

• Contractor position with part-time employment classification
• Listed experience level: entry level
• Advanced subject-matter expertise is required
• Work worldwide with no country restriction specified

What You'll Do

You will analyze, curate, validate, and evaluate scientific data and tasks across computational biology and cheminformatics. Your work will help establish whether AI systems can reason effectively about realistic computational drug discovery scenarios.

• Analyze small-molecule and drug discovery datasets using computational biology, bioinformatics, and cheminformatics methods
• Curate, annotate, and validate chemical and biological datasets from 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
• Build reproducible environments with Docker
• Create automated tests for task correctness and solvability
• Review AI-generated scientific outputs for accuracy, rigor, and practical relevance
• Write feedback and recommendations on model-generated work

Required Expertise and Technical Skills

Advanced expertise in computational biology, cheminformatics, medicinal chemistry, biochemistry, or a related discipline is required. You should be able to apply scientific judgment to chemical and biological data and communicate complex concepts clearly in written reports and feedback.

Python proficiency beyond analysis scripts is expected, including experience building tools, pipelines, or testable code. Familiarity with development and cheminformatics environments is also important.

• Advanced computational biology, cheminformatics, medicinal chemistry, or biochemistry expertise
• Strong Python skills for building tools, pipelines, and testable code
• Experience with Git, GitHub, and Docker
• Familiarity with RDKit, KNIME, Schrödinger, OpenEye, or MOE
• Practical experience with small-molecule drug discovery
• Experience evaluating SAR or QSAR, ADMET prediction, or virtual screening
• Ability to integrate public chemical and bioactivity databases
• Ability to judge AI-generated scientific outputs
• Clear written communication of technical recommendations

Who Should Apply

This opportunity is suited to a technically strong scientific contributor who can move between chemical and biological analysis, software development, reproducible environments, and AI evaluation. The listing is marked entry level, but candidates must meet the stated advanced subject-matter and programming requirements.

• Computational biologists and cheminformatics specialists
• Medicinal chemistry or biochemistry experts with strong programming ability
• Professionals experienced in drug discovery data and scientific model evaluation
• Candidates comfortable explaining technical findings in detailed written feedback

How to Apply Through OpenTrain

Create a free OpenTrain account to build your profile and apply for this contractor opportunity. OpenTrain helps AI training contributors develop a durable portfolio of specialized work while connecting their skills with projects shaping how modern AI systems are built.

• Prepare a profile highlighting relevant scientific and Python experience
• Showcase work with drug discovery datasets, cheminformatics tools, or reproducible code
• Apply in minutes through OpenTrain