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Part Time Nih Neuroscience Jobs (NOW HIRING)

Corewell Health

RN Nuclear Medicine

Dearborn, MI · On-site

CRT-NIH Stroke Certification - NIHSS National Institute of Health Stroke Scale Neuro ICU 90 Days ... Part time Shift Day (United States of America) Weekly Scheduled Hours 20 Hours of Work 8 Days ...

Spectrum Health

RN Nuclear Medicine

Dearborn, MI · On-site

CRT-NIH Stroke Certification - NIHSS National Institute of Health Stroke Scale Neuro ICU 90 Days ... Part time Shift Day (United States of America) Weekly Scheduled Hours 20 Hours of Work 8 Days ...

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As of Aug 26, 2026, the average hourly pay for part time nih neuroscience in the United States is $18.38, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $18.99 per hour, depending on experience, location, and employer.

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Biology & Biophysics Research Collaborator (Part-time)

Remote

Weekday AI
See more jobs at Weekday AIexternal

$80 - $110/hr

Part-time

Posted 29 days ago

Job description

This role is for one of our clients
Compensation: $80 - $110 per hour
Join a leading AI research initiative developing the next generation of AI systems for scientific reasoning. We are seeking accomplished Biology & Biophysics Research Collaborators to help advance AI models capable of reasoning across complex life science disciplines at the level of active researchers-not textbooks.
This opportunity is ideal for researchers with expertise in molecular biology, biophysics, structural biology, immunology, neuroscience, genomics, and related life science disciplines. Your research experience will directly contribute to improving AI systems that solve advanced scientific problems through rigorous biological reasoning.
This is a remote, part-time engagement requiring up to 20 hours per week.
Requirements
Key Responsibilities
  • Review and evaluate biology and biophysics research papers for scientific rigor, novelty, and validity.
  • Design and review challenging biology and biophysics problems used to train and evaluate advanced AI models.
  • Assess AI-generated solutions involving:
    • Biological mechanism prediction
    • Experimental design
    • Scientific literature interpretation
    • Research methodology and scientific reasoning
  • Identify reasoning errors and scientific gaps that experienced life science researchers would readily recognize.
  • Provide detailed, evidence-based written feedback to improve AI model performance.
  • Collaborate with fellow researchers and project teams to ensure consistency and quality across evaluation tasks.

Required Qualifications
We're seeking researchers who demonstrate several of the following:
  • 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 (including EXROP, Hanna H. Gray, or Investigator)
    • NIH F31, F32, or K99 Fellowships
    • NSF Graduate Research Fellowship or 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
    • Or equivalent internationally recognized research awards
  • 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 are strongly encouraged to apply. Demonstrated research excellence is valued more than years of professional experience.

Engagement Details
  • Schedule: Part-time (up to 20 hours per week)
  • Work Arrangement: Fully Remote
  • Compensation: Competitive and based on research experience, publication record, and academic credentials.
  • Duration: Ongoing, subject to project requirements and performance.

Why Join?
  • Help shape the future of AI-powered scientific reasoning across the life sciences.
  • Apply your research expertise to cutting-edge AI evaluation and training initiatives.
  • Collaborate with accomplished researchers across biology, biophysics, and related disciplines.
  • Influence the development of AI systems capable of solving complex biological and biomedical research problems.

We welcome applicants from all backgrounds and are committed to providing equal opportunities and reasonable accommodations throughout the recruitment process.
Contract Details
  • Independent contractor engagement.
  • Fully remote with flexible working hours.
  • Project duration may be extended, shortened, or concluded based on project requirements and performance.
  • Weekly payments for approved work completed.
  • Please note that H1-B and STEM OPT sponsorship is not available for this engagement.

Apply