Biology & Biophysics Research Collaborator (Part-time)

About the role

This role is for one of our clients.

Compensation

Competitive and based on research experience, publication record, and academic credentials.

Requirements

• First-author or co-first-author publications in leading journals such as: Nature, Science, Cell, PNAS, eLife, The New England Journal of Medicine (NEJM), Nature Methods, Nature Medicine, Nature Biotechnology, Nature Communications.
• PhD or postdoctoral training from a globally recognized institution in the life sciences or a related STEM discipline.
• Recipient of prestigious fellowships or research awards such as: HHMI Fellowships, NIH F31, F32, or K99 Fellowships, NSF Graduate Research Fellowship, Postdoctoral Research Fellowship, Damon Runyon Fellowship, Helen Hay Whitney Fellowship, Jane Coffin Childs Fellowship, Searle Scholars Program, Pew Scholars Program, Sloan Research Fellowship, Packard Fellowship, Simons Fellowship, Fulbright Scholarship.
• Named inventor on patents, founder of a research spin-out, or Principal Investigator/Co-Investigator on funded research grants.
• Current or recent experience in an active research role, including: PhD Candidate, Postdoctoral Researcher, Faculty Member, Instructor, Principal Scientist, Industry Researcher, Outstanding senior PhD students and recent graduates with exceptional publication records.

Qualifications

• Demonstrated research excellence is valued more than years of professional experience.

Skills

• Expertise in molecular biology, biophysics, structural biology, immunology, neuroscience, genomics, and related life science disciplines.
• Ability to review and evaluate biology and biophysics research papers for scientific rigor, novelty, and validity.
• Experience in designing and reviewing challenging biology and biophysics problems used to train and evaluate advanced AI models.
• Knowledge of assessing AI-generated solutions involving: Biological mechanism prediction, Experimental design, Scientific literature interpretation, Research methodology, and scientific reasoning.
• Ability to identify reasoning errors and scientific gaps that experienced life science researchers would readily recognize.
• Experience in providing detailed, evidence-based written feedback to improve AI model performance.
• Collaboration skills to ensure consistency and quality across evaluation tasks.

Benefits

• Part-time (up to 20 hours per week)
• Fully Remote
• Ongoing, subject to project requirements and performance.

Pay

Competitive and based on research experience, publication record, and academic credentials.

Schedule

Part-time (up to 20 hours per week)

Benefits

• Flexible working hours
• Weekly payments for approved work completed