Life Sciences Research Scientist (PhD): Wet Lab & Computational Biology

$45–90/hr

rate as listed

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

Develop expert-level life sciences problems, reference answers, and evaluation rubrics used to assess AI reasoning. Review model outputs across experimental and computational biology for scientific accuracy, methodological rigor, and defensible interpretation.

The work

You will design difficult, verifiable life sciences problems and assess AI-generated answers for scientific accuracy, reasoning quality, and methodological soundness. Day-to-day work may include writing reference answers, building detailed scoring rubrics, checking claims against primary literature, and determining whether proposed experiments or computational analyses support their conclusions.

Scientific scope and screening

The work can span genomics, transcriptomics, single-cell and spatial omics, epigenomics, proteomics, metabolomics, microbiome research, metagenomics, structural biology, drug discovery, systems biology, and clinical or translational research. micro1 screens for a completed relevant PhD, hands-on laboratory research, professional written and spoken English (C1 or higher), precise explanations, and the ability to connect experimental design with computational analysis. Wet lab experience, academic research appointments, and peer-reviewed publications are strongly preferred.

Practical details

This is a remote (worldwide) contractor role. The listing does not state whether the work is asynchronous, how many hours are typically available, or whether any timezone overlap is required, so candidates should confirm those details during the application process.

Pay band: $45–90/hr

What they look for

computational chemistry
molecular simulations
python
gaussian
gromacs
lammps
amber
orca
psi4
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 tests whether you can give verifiable details about your doctoral work, distinguish your contribution from the broader lab program, and defend the scientific logic under follow-up.
A strong answer: State the hypothesis, biological system, methods, your direct responsibilities, and the principal result. Clarify which decisions or analyses were yours and identify an important limitation or unresolved question.
Where people lose it: Candidates lose points by describing the lab's general research area without identifying their own experiments, analyses, or intellectual contribution.

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