Remote | Biology & Biophysics Research Collaborator — $75–$105/hour

24-Mag•New York, NY

20h•Remote

About The Position

We are sharing a specialised part-time consulting opportunity for accomplished biology and biophysics researchers experienced in advanced scientific reasoning, research evaluation, experimental design, mechanism analysis, literature interpretation, and frontier-level life sciences research. This role supports a remote research collaboration focused on improving how advanced AI systems reason across biology, biophysics, and adjacent scientific disciplines. Selected professionals will apply their research expertise to evaluate scientific literature, develop challenging biology and biophysics problems, assess technical outputs, identify subtle reasoning failures, and contribute to high-quality scientific evaluation workflows.

Requirements

Current or recent experience as a PhD candidate, postdoctoral researcher, instructor, faculty member, principal scientist, or industry researcher
An active research record in biology, biophysics, or a closely related life sciences field
Strong publication history, including first-author or co-first-author research where applicable
Ability to evaluate advanced scientific work at the level of a practicing researcher
Strong analytical, scientific writing, and technical communication skills
Experience identifying subtle biological or biophysical errors that may be missed through textbook-level review
Availability to contribute up to 20 hours per week depending on project scope
Current location in the United States
A doctorate, current doctoral study, or postdoctoral training in biology, biophysics, biomedical sciences, neuroscience, genomics, or a closely related STEM field is highly relevant
Research backgrounds in molecular biology, structural biology, immunology, neuroscience, genomics, systems biology, computational biology, or quantitative biophysics may be especially valuable
Outstanding senior PhD candidates and recent graduates with strong publication records are encouraged to apply

Nice To Haves

First-author or co-first-author publications in highly regarded life sciences or multidisciplinary scientific journals
Competitive research fellowships, early-career awards, or major academic distinctions
Experience holding research grants as a Principal Investigator or Co-Investigator
Issued patents, scientific commercialization experience, or involvement in a research spin-out
Experience with microscopy, structural methods, sequencing, computational biology, molecular modeling, or quantitative data analysis
Familiarity with experimental reproducibility, statistical interpretation, and research methodology review
Previous experience reviewing manuscripts, grant proposals, technical assessments, or advanced scientific benchmarks

Responsibilities

Review biology and biophysics research papers for scientific rigor, novelty, validity, and methodological quality
Assess experimental design, mechanistic arguments, analytical methods, quantitative results, and biological interpretation
Evaluate whether scientific claims are adequately supported by evidence, established principles, and available literature
Identify subtle conceptual, experimental, statistical, or methodological issues requiring researcher-level expertise
Author and review challenging biology and biophysics problems for advanced scientific reasoning and evaluation workflows
Develop tasks involving mechanism prediction, experimental design, data interpretation, structural analysis, and literature reasoning
Calibrate problem difficulty, expected solutions, and evaluation criteria against graduate and research-level standards
Produce clear reference explanations, solution pathways, and technical assessment guidance
Evaluate technical outputs across molecular biology, biophysics, structural biology, immunology, neuroscience, genomics, and related fields
Identify unsupported assumptions, flawed mechanisms, experimental inconsistencies, and biologically implausible conclusions
Assess outputs involving literature synthesis, experimental proposals, quantitative analysis, and complex scientific reasoning
Document evaluation decisions clearly and support conclusions with rigorous scientific evidence