Computational Biology and Bioinformatics Expert (PhD)

You will support AI benchmarking and model development through rigorous computational chemistry analysis. The work includes reviewing scientific workflows, interpreting molecular simulation and quantum chemistry results, and making recommendations that improve accuracy and reproducibility.

The role description focuses on computational chemistry, while the role title covers computational biology and bioinformatics. Review the duties and qualifications before applying.

• Design, evaluate, and critique computational chemistry workflows for AI benchmarking.
• Analyze molecular dynamics, quantum chemistry, drug discovery, and related scientific data.
• Assess simulation parameters and scientific software configurations for accuracy and reproducibility.
• Apply molecular simulation, electronic structure, and cheminformatics methods.
• Help develop and validate chemistry-related AI models and tools.
• Document findings, methods, and best practices for knowledge sharing.
• Explain complex scientific ideas clearly to technical and non-technical collaborators.

This is a remote contractor opportunity with a flexible schedule and project duration determined for the engagement.

• Pay: $45 to $90 per hour.
• Work type: Remote contract work, with part-time engagement available.
• Location: Open to candidates in the United Arab Emirates, Argentina, Austria, Bangladesh, Belgium, Bahrain, Brazil, Canada, Switzerland, Chile, Colombia, Germany, Denmark, Algeria, Egypt, Spain, France, the United Kingdom, Ghana, Greece, Indonesia, India, Italy, Jordan, Japan, 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.
• Education: PhD in chemistry, computational chemistry, or a closely related field, or equivalent industry or research experience.
• Technical skills: Strong computational chemistry, scientific programming, analytical workflow, and quantitative reasoning skills.
• Programming: Strong experience with Python.
• Language: Professional written and spoken English at C1 level or higher.
• Tools that may be useful: Gaussian, ORCA, Psi4, NWChem, GROMACS, LAMMPS, AMBER, RDKit, and OpenBabel.
• Helpful background: AI or machine-learning-assisted chemistry workflows, benchmarking, peer-reviewed publications, patents, open-source scientific software, drug discovery, spectroscopy analysis, reaction prediction, or retrosynthesis.

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.

AI training is the human work behind systems that learn from examples, including reviewing model outputs, evaluating results, and preparing reliable data. People with specialist knowledge are needed to judge technical answers and scientific workflows that general reviewers cannot assess.