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Biophysics Research Jobs (NOW HIRING)

The Pennsylvania State University

Research may involve protein structure and function, molecular interactions, molecular assemblies, intrinsically disordered proteins, biomolecular condensates, cellular organization, biological ...

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Biophysics Research information

What is biophysics research?

Biophysics research is a scientific field that combines principles from biology and physics to study living organisms at a molecular and cellular level. Researchers in this area use techniques from physics, such as spectroscopy and computational modeling, to understand biological processes like protein folding, cell signaling, and DNA structure. The goal is to uncover the physical mechanisms that underlie life, which can lead to advancements in medicine, biotechnology, and our basic understanding of biology. Biophysics researchers often work in interdisciplinary teams and collaborate with chemists, biologists, and engineers.

What are the typical collaborative aspects of working in a biophysics research team?

In biophysics research, collaboration is essential due to the interdisciplinary nature of the field. Researchers often work closely with colleagues from biology, physics, chemistry, and computational sciences to tackle complex problems. Regular team meetings, joint experiments, and shared data analysis sessions are common, and effective communication is key to integrating diverse expertise. Additionally, biophysics researchers frequently collaborate with external partners, such as other academic institutions or industry labs, to access specialized equipment or unique datasets.

What are the key skills and qualifications needed to thrive in biophysics research, and why are they important?

To excel in Biophysics Research, a strong background in biology, physics, mathematics, and often a PhD in a related field are essential. Familiarity with laboratory techniques, data analysis software (such as MATLAB or Python), and advanced imaging or spectroscopy systems is typically required. Critical thinking, problem-solving, and effective collaboration are vital soft skills for driving innovation and working within multidisciplinary teams. These competencies are crucial for advancing scientific understanding and achieving meaningful research outcomes in the complex field of biophysics.
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Biophysics Research jobs near you
Infographic showing various Biophysics Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Biology & Biophysics Research Collaborator (Part-time)

Weekday AI

Remote

$80 - $110/hr

Part-time

Re-posted 9 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