Computational Chemistry Drug Discovery Scientist

The work

You will help train AI systems through expert scientific problem creation and model evaluation. Your work will focus on computational chemistry, structural biology, and drug discovery, with an emphasis on accurate reasoning, reference answers, and explanations that other experts can validate.

• Create challenging scientific problems with clear, verifiable solutions.
• Review AI-generated answers for scientific accuracy, rigor, and depth of reasoning.
• Identify subtle scientific errors that require specialist knowledge.
• Write detailed rubrics and reference answers grounded in research literature.
• Explain evaluation decisions clearly in writing.
• Take part in feedback and peer review cycles.
• Apply research knowledge across molecular modeling, structure prediction, virtual screening, docking, QSAR and ADMET modeling, and proteomics or metabolomics analysis.

What it pays and takes

This is a part-time contractor role. The work requires advanced scientific training and the ability to explain complex ideas clearly in written and spoken English.

• Pay: $45 to $90 per hour.
• Open to candidates in: United Arab Emirates, Argentina, Austria, Bangladesh, Belgium, Bahrain, Brazil, Canada, Switzerland, Chile, Colombia, Germany, Denmark, Algeria, Egypt, Spain, France, Ghana, Greece, Indonesia, India, Italy, Jordan, and Japan.
• Also open to candidates in: Kenya, Kyrgyzstan, Kuwait, Kazakhstan, Lebanon, Sri Lanka, Morocco, Mexico, Malaysia, Nigeria, the Netherlands, Oman, Peru, the Philippines, Pakistan, Palestine, Portugal, Qatar, Saudi Arabia, Singapore, Thailand, Tunisia, Taiwan, the United States, Uzbekistan, Vietnam, and South Africa.
• A PhD in computational chemistry, structural biology, biophysics, bioinformatics, medicinal chemistry, biochemistry, or a closely related field is required.
• Hands-on research experience in an academic or industry laboratory is required.
• Professional written and spoken English at C1 level or higher is required.
• Practical Python programming ability is required.
• Experience with scientific writing, reviewing, benchmarking, or model evaluation is required.

Helpful background

Postdoctoral research or pharmaceutical or biotechnology research experience in drug discovery or structural biology is valuable. A strong publication record, including first-author research, is also helpful.

• Experience with GROMACS, AMBER, NAMD, or OpenMM.
• Experience with free-energy methods, AlphaFold, Rosetta, molecular docking, or virtual screening.
• Experience with RDKit, QSAR or QSPR, ADMET prediction, or machine learning for molecular property prediction.
• Experience with LC-MS/MS, MaxQuant, proteomics, or metabolomics.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training is the human work behind systems that learn from examples, including writing and reviewing model answers. People with specialist knowledge are paid to create accurate examples and catch errors that general reviewers may miss.