Remote | Biology Research Expert — $65–$95/hour

24-Mag•New York, NY

19h•Remote

About The Position

We are sharing a specialised part-time consulting opportunity for professionals experienced in biology, molecular and cellular biology, experimental design, laboratory research, life sciences data analysis, scientific reporting, and structured biology review. This role supports current and upcoming remote consulting opportunities focused on biology-related task development, scientific evaluation, experimental workflow assessment, life sciences data interpretation, research documentation review, and high-quality project execution. Selected professionals will apply their biology expertise to review realistic scientific scenarios, evaluate technical outputs, prepare structured written feedback, and support accurate, evidence-based biology workflow tasks.

Requirements

Professional experience in biology, molecular biology, cellular biology, life sciences research, laboratory research, experimental design, biological data analysis, or technical reporting
Background in one or more areas such as molecular biology, cell biology, genetics, microbiology, biochemistry, neuroscience, ecology, evolutionary biology, biomedical science, or related life sciences fields
Familiarity with workflows involving laboratory experimentation, research methods, scientific reporting, biological data interpretation, and technical evaluation
Comfort reading and preparing biology artifacts such as research summaries, lab notes, method descriptions, experimental results, data analyses, and technical reports
Strong written communication skills
Ability to work independently in a remote, project-based environment
A degree or professional background in biology, molecular biology, cellular biology, biochemistry, microbiology, genetics, neuroscience, biomedical science, life sciences, or a related scientific field is helpful
Graduate-level research experience, laboratory experience, scientific publications, or applied life sciences work is highly relevant
Equivalent practical experience in biology research, biological data analysis, lab workflows, or structured scientific review is also valuable

Nice To Haves

Experience with molecular and cellular biology techniques, experimental design, lab research, data analysis, scientific modeling, technical writing, or research publication workflows
Familiarity with PCR, cloning, cell culture, microscopy, sequencing, protein assays, immunoassays, wet-lab methods, or life sciences instrumentation
Experience preparing or reviewing technical reports, research summaries, biological datasets, experimental protocols, lab-style workflows, or scientific documentation
Strong comfort with spreadsheets, statistical tools, Python, R, MATLAB, laboratory information systems, or domain-specific biology software
Strong attention to detail in research-heavy, data-driven, and documentation-focused biology environments

Responsibilities

Review biology-related materials involving molecular biology, cellular biology, experimental methods, laboratory workflows, and scientific reasoning
Evaluate biology outputs against source materials, research context, methodology, and documented review criteria
Support structured review of research summaries, technical explanations, experimental scenarios, biological analyses, and scientific reports
Identify missing assumptions, methodological gaps, unclear reasoning, and expected biology review outcomes
Review scenarios involving experimental design, lab research, molecular and cellular techniques, sample handling, and data interpretation
Evaluate biological data outputs for accuracy, consistency, clarity, and alignment with scientific principles
Support structured review of lab notes, experimental results, method descriptions, charts, calculations, and technical documentation
Prepare clear written explanations for biology conclusions based on source materials and verifiable criteria
Create or review tasks and deliverables based on real-world biology and life sciences workflows
Provide domain-specific feedback on scientific accuracy, reasoning quality, data interpretation, and technical communication
Support evaluation workflows involving model outputs, biological reasoning, research-style problem solving, and laboratory context
Maintain accuracy, consistency, and professional judgment across submitted work