14D AGO

Life Sciences Research Assistant

micro1 / Life Sciences Research Assistant

RATE

$30 - $50/HR

LOCATION

REMOTE (GLOBAL)

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DESCRIPTION

Role Title: Life Sciences Research Assistant Role Type: Contractor Location: Remote micro1 is engaging Life Sciences Research Assistants to contribute to a customer's project focused on creating next-generation AI benchmarks. 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. No prior experience in AI is required — your domain knowledge is what matters. You'll design and author expert-level evaluation tasks, using authentic research artifacts and technical challenges that mirror advanced practice in the life sciences. Each assignment will test AI agents with realistic data sets, multi-step problem-solving, and rigorous evaluation rubrics that go beyond textbook science. Scope of Work • Develop complex, authentic research evaluation tasks in the life sciences domain (e.g., experimental design critique, protocol analysis, and primary data interpretation). • Source and synthesize research materials, including raw experimental data, lab protocols, technical literature, and supplementary documents. • Define and document the correct methodological approach and biological interpretation for each task. • Create comprehensive, multiple item rubrics targeting methodological rigor, data interpretation, and source fidelity for LLM-based evaluation. • Ensure all tasks reflect the nuance, ambiguity, and depth of real-world scientific work — not simplified or hypothetical scenarios. • Collaborate asynchronously with project coordinators for feedback and refinement of deliverables. Preferred

REQUIREMENTS

▸Bachelor's or Master's in biology, biomedical sciences, biochemistry, or a closely related discipline.
▸Minimum 2 years of hands-on research or laboratory experience with primary data analysis and scientific protocols.
▸Demonstrated expertise in protocol-driven, multi-source scientific workflows.
▸Mastery of scientific reasoning, source synthesis, and methodological evaluation.
▸Strong written English skills, with experience drafting or reviewing scientific documentation.
▸Familiarity with handling diverse data formats (CSVs, spreadsheets, PDFs, technical documents).
▸Attention to detail and commitment to rubric fidelity, ensuring high-quality, objective task design.
▸Compensation Structure