This role is for one of our clients

Compensation: $90-$140 per hour

Employment Type: Contract (Independent Contractor)
Location: Remote (United States)
Work Arrangement: Fully Remote, Flexible Schedule

Job Overview

We are seeking highly experienced PhD Biologists and Life Sciences Researchers to contribute their scientific expertise to the development, evaluation, and advancement of next-generation Artificial Intelligence (AI) models.

In this role, you will collaborate with leading AI research teams to improve how advanced AI models understand, analyze, and reason about complex biological concepts and real-world life sciences research. You will leverage your specialized domain knowledge and research experience to evaluate scientific reasoning tasks, assess AI-generated outputs, develop rigorous problem specifications, create reference solutions, and design advanced benchmarks to measure model performance.

The ideal candidate will be an established academic or research professional with deep specialization in at least one life sciences discipline, a strong peer-reviewed publication record, and practical experience using Large Language Models (LLMs) in scientific or research workflows.

Requirements

Key Responsibilities

• Expert Evaluation: Review life sciences-related tasks and AI-generated outputs for scientific accuracy, logical consistency, and research-level rigor.
• Identify unsupported causal claims, flawed experimental designs, incorrect biological mechanisms, unjustified assumptions, and scientific inaccuracies in AI-generated responses.
• Problem Design: Develop precise, challenging, research-level problem statements that reflect real-world biological and life sciences research challenges.
• Reference Solutions: Create detailed and scientifically rigorous reference solutions that establish clear standards for accurate biological reasoning and research interpretation.
• Benchmark Development: Design advanced scientific problems, evaluation datasets, and benchmarks within your area of specialization to assess and improve AI model capabilities.
• Scientific Assessment: Evaluate AI-generated explanations, hypotheses, experimental approaches, and biological interpretations to distinguish scientifically valid reasoning from plausible but incorrect conclusions.
• Research Collaboration: Work with AI researchers and subject matter experts across related scientific disciplines to establish evaluation methodologies and improve model performance.
• Feedback & Calibration: Translate specialized scientific knowledge and expert judgment into structured feedback, evaluation criteria, and measurable quality standards.

Required Qualifications

• PhD in Biochemistry, Molecular Biology, Cell Biology, Genetics, Immunology, Neuroscience, or a closely related Life Sciences discipline.
• Senior-level academic or research experience, such as:
• Faculty appointment at a recognized university.
• Principal Investigator (PI).
• Staff Scientist or Senior Scientist.
• Equivalent senior research position at a university, academic medical center, national laboratory, or established research organization.
• Deep specialization in at least one of the following domains:
• Molecular and Cell Biology.
• Biochemistry and Structural Biology.
• Immunology.
• Genetics and Genomics.
• Neuroscience.
• Ecology and Evolutionary Biology.
• Cellular and Molecular Genetics.
• Biomedical and Translational Research.
• Strong peer-reviewed research publication record.
• Recognition through competitive research fellowships, academic awards, grants, or other notable scientific achievements is an added advantage.
• Hands-on experience using Large Language Models (LLMs) and AI tools in scientific, academic, or research workflows.
• Strong analytical and critical-thinking abilities, with the ability to identify scientific inaccuracies and evaluate complex biological reasoning.
• Excellent written communication skills and the ability to provide precise, structured, and technically sound feedback.
• Must be currently based in the United States.

Contract & Payment Terms

• Engagement will be on an independent contractor basis.
• The position is fully remote and offers flexibility to complete assignments according to your own schedule and project requirements.
• Project timelines may be extended, shortened, or concluded early depending on business requirements and individual performance.
• The engagement will not require access to confidential or proprietary information belonging to any current or former employer, client, university, academic medical center, or research institution.
• Payments will be processed weekly through Stripe or Wise based on services rendered.
• H-1B and STEM OPT visa holders cannot be accommodated for this opportunity.