Computational Biology & Bioinformatics Expert (PhD)

$45–90/hr

rate as listed

Workload: ~15h/week
Engagement: Project-based
Location: Worldwide
Field: Sciences

Evaluate computational chemistry workflows and scientific outputs used to benchmark or train AI systems. Although the title mentions computational biology and bioinformatics, the stated work focuses on molecular simulation, quantum chemistry, cheminformatics, and drug discovery.

The day-to-day work centers on designing, evaluating, and critiquing computational chemistry workflows for AI benchmarking. Tasks may include reviewing molecular dynamics or electronic structure calculations, checking simulation parameters and software configurations, analyzing drug discovery data, and documenting recommendations that improve accuracy and reproducibility.

The platform is likely to screen for defensible knowledge of molecular simulations, quantum chemistry, and cheminformatics rather than broad familiarity with biology. Candidates should be ready to discuss specific work completed with Python and tools such as Gaussian, ORCA, Psi4, NWChem, GROMACS, LAMMPS, AMBER, RDKit, or OpenBabel. AI/ML-assisted chemistry, publications, patents, open-source contributions, drug discovery, spectroscopy analysis, and reaction prediction or retrosynthesis are preferred rather than stated as mandatory.

The screening also tests whether you can identify scientific errors in model-generated work, distinguish plausible outputs from reproducible results, and explain your judgment with appropriate controls or validation evidence. Professional written and spoken English at C1 or higher is required, including the ability to document technical conclusions for both specialist and non-specialist collaborators.

This is a worldwide remote contractor role. The listing does not state whether work is fully asynchronous, nor does it provide typical weekly hours, a minimum commitment, or a fixed schedule.

Pay band: $45–90/hr

What they look for

computational chemistry
molecular simulations
python
gaussian
gromacs
lammps
amber
orca
psi4
nwchem
rdkit
openbabel
cheminformatics
electronic structure methods
scientific software configuration
molecular dynamics
drug discovery
ai/ml-assisted chemistry workflows
quantitative analysis
analytical reasoning
scientific programming
written communication
verbal communication
documentation
problem-solving

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: This verifies the PhD or equivalent-experience requirement and tests whether the candidate's background actually covers computational chemistry rather than adjacent wet-lab or general data science work.
A strong answer: Give the degree, field, institution or equivalent research context, then describe one or two technically specific projects, including the scientific question, methods used, and your personal responsibility.
Where people lose it: Relying on the title of a degree or employer without showing hands-on responsibility for simulation, electronic structure, or cheminformatics work leaves the claimed expertise unverified.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.

Computational Biology & Bioinformatics Expert (PhD)

What they look for

Interview prep — 10 questions

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