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

45–90/hr
Remote
contract
50 openings
Posted November 9, 2026
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Listing checked November 9, 2026 · pay as published by micro1

Key details

Pay
$45–90/hr
Location
Remote
Job type
contract
Openings
50
Posted
November 9, 2026

Overview

In this role, you will help train next-generation AI systems by applying your life sciences expertise. You will design expert-level scientific problems, evaluate AI outputs for accuracy, and develop rubrics grounded in primary literature. The position is remote and open worldwide, with a focus on bridging experimental and computational perspectives. Your work will directly shape how models learn and reason in the life sciences.

What You'll Do7

  • Create challenging, expert-level scientific problems in the life sciences with clear, verifiable solutions.
  • Evaluate AI model outputs for scientific accuracy, rigor, and depth of reasoning, identifying subtle errors.
  • Develop detailed rubrics and reference answers based on primary literature and established methodologies.
  • Apply domain expertise in areas such as genomics, transcriptomics, proteomics, structural biology, and drug discovery.
  • Assess whether proposed experiments, analysis pipelines, or interpretations are scientifically sound.
  • Provide clear written explanations of your reasoning for other experts to follow and validate.
  • Meet quality standards through iterative feedback and peer review.

Requirements3

  • Completed PhD in Biology, Molecular Biology, Genetics, Genomics, Biochemistry, Bioinformatics, Computational Biology, Immunology, Neuroscience, Microbiology, or a closely related life science field.
  • Hands-on research experience in an academic, institutional, or industry research laboratory.
  • Professional written and spoken English (C1 or higher).

Preferred Qualifications4

  • Wet lab experience: personally performed experiments such as PCR/qPCR, cell culture, sequencing library prep, Western blot, protein purification, LC-MS sample prep, or CRISPR workflows.
  • Academic research experience: postdoctoral position, staff scientist, research faculty, or equivalent.
  • Peer-reviewed publications, ideally as first or corresponding author.
  • PhD from a top research university (US, UK, or other leading institutions).

Who Should Apply

This role suits PhD-level life scientists with hands-on lab experience and a strong publication record. Candidates should have expertise in genomics, proteomics, or related fields and be able to evaluate AI outputs for scientific accuracy. Excellent English communication and a detail-oriented mindset are essential.

Salary Insight

Compensation is $45 to $90 per hour, depending on experience and qualifications.

Pay and demand for Science & Research roles

Market estimates from live NearSkill listings — separate from this job's published terms.

Aggregated

This role · as published

$45–90/hr

Taken from the listing itself.

Typical pay · estimated

$80/hour

Median of 656 similar roles that publish pay · 102 publish only a top rate; those count at the rate they gave

Most Science & Research roles pay $55–$100 per hour. This role's pay falls inside that range.

Typical rangeMedian payThis role

Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.

Live similar roles
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Hiring most right now: micro1 (265) · Turing (133) · Mercor (118)

Most requested skills · share of roles

  • python
    22%
  • ai evaluation
    11%
  • code review
    11%
  • technical writing
    10%

Figures from Science & Research roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.

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Required skills

Computational ChemistryMolecular SimulationsPythonGaussianGromacsLammpsAmberOrcaPsi4CheminformaticsElectronic Structure MethodsScientific Software ConfigurationMolecular DynamicsDrug DiscoveryAi/ml Assisted Chemistry WorkflowsQuantitative AnalysisAnalytical ReasoningScientific ProgrammingWritten CommunicationVerbal CommunicationDocumentationProblem Solving

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