Description review
Computational Biology & Bioinformatics Expert (PhD)
micro1 · Remote · back to the listing
HR standards
62/100
needs work
Title ↔ description
69/100
needs work
Reads as
Data Scientist
84% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
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What the listing never says
- 18 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
Job Title: Computational Biology & Bioinformatics Expert (PhD)
Job Type: Contractor
Location:Remote (Worldwide)
Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
Key Responsibilities:
• Design, evaluate, and critique advanced computational chemistry workflows to support AI benchmarking initiatives.
• Provide expert-level insights on molecular simulations, electronic structure methods, and cheminformatics pipelines.
• Assess and optimize simulation parameters and scientific software configurations for accuracy and reproducibility.
• Analyze data from molecular dynamics, quantum chemistry, and drug discovery projects, providing actionable recommendations.
• Leverage domain knowledge to guide the development and validation of chemistry-related AI models and tools.
• Communicate complex scientific concepts clearly, both in writing and verbally, to technical and non-technical collaborators.
• Document findings, methodologies, and best practices to ensure knowledge transfer across the customer’s team.
Required Skills and Qualifications:
• PhD in chemistry, computational chemistry, or closely related field, or equivalent industry/research experience.
• Professional written and spoken English (C1 or higher)
• Deep expertise with computational chemistry methods and simulation-heavy environments is desirable.
• Proficiency with industry-standard tools such as Gaussian, ORCA, Psi4, NWChem, GROMACS, LAMMPS, AMBER, RDKit, or OpenBabel would be ideal.
• Strong scientific programming and analytical workflow experience, especially using Python.
• Excellent quantitative, analytical, and scientific reasoning skills.
• Outstanding written and verbal communication abilities, with the ability to clearly document and explain technical concepts.
• Track record of rigorous scientific problem-solving in complex chemistry domains.
Preferred Qualifications:
• Experience with AI/ML-assisted chemistry workflows or benchmarking.
• Peer-reviewed publications, patents, or contributions to open-source scientific software.
• Background in drug discovery, spectroscopy analysis, or reaction prediction/retrosynthesis.
Originally posted on Himalayas
Job Type: Contractor
Location:Remote (Worldwide)
Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
Key Responsibilities:
• Design, evaluate, and critique advanced computational chemistry workflows to support AI benchmarking initiatives.
• Provide expert-level insights on molecular simulations, electronic structure methods, and cheminformatics pipelines.
• Assess and optimize simulation parameters and scientific software configurations for accuracy and reproducibility.
• Analyze data from molecular dynamics, quantum chemistry, and drug discovery projects, providing actionable recommendations.
• Leverage domain knowledge to guide the development and validation of chemistry-related AI models and tools.
• Communicate complex scientific concepts clearly, both in writing and verbally, to technical and non-technical collaborators.
• Document findings, methodologies, and best practices to ensure knowledge transfer across the customer’s team.
Required Skills and Qualifications:
• PhD in chemistry, computational chemistry, or closely related field, or equivalent industry/research experience.
• Professional written and spoken English (C1 or higher)
• Deep expertise with computational chemistry methods and simulation-heavy environments is desirable.
• Proficiency with industry-standard tools such as Gaussian, ORCA, Psi4, NWChem, GROMACS, LAMMPS, AMBER, RDKit, or OpenBabel would be ideal.
• Strong scientific programming and analytical workflow experience, especially using Python.
• Excellent quantitative, analytical, and scientific reasoning skills.
• Outstanding written and verbal communication abilities, with the ability to clearly document and explain technical concepts.
• Track record of rigorous scientific problem-solving in complex chemistry domains.
Preferred Qualifications:
• Experience with AI/ML-assisted chemistry workflows or benchmarking.
• Peer-reviewed publications, patents, or contributions to open-source scientific software.
• Background in drug discovery, spectroscopy analysis, or reaction prediction/retrosynthesis.
Originally posted on Himalayas