This role is for one of our clientsCompensation: $80 - $110 per hourJoin 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.Key ResponsibilitiesReview 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 predictionExperimental designScientific literature interpretationResearch methodology and scientific reasoningIdentify 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 QualificationsWe're seeking researchers who demonstrate several of the following:First-author or co-first-author publications in leading journals such as:NatureScienceCellPNASeLifeThe New England Journal of Medicine (NEJM)Nature MethodsNature MedicineNature BiotechnologyNature CommunicationsPhD 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 FellowshipsNSF Graduate Research Fellowship or Postdoctoral Research FellowshipDamon Runyon FellowshipHelen Hay Whitney FellowshipJane Coffin Childs FellowshipSearle Scholars ProgramPew Scholars ProgramSloan Research FellowshipPackard FellowshipSimons FellowshipFulbright ScholarshipOr equivalent internationally recognized research awardsNamed 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 CandidatePostdoctoral ResearcherFaculty MemberInstructorPrincipal ScientistIndustry ResearcherOutstanding 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 DetailsSchedule: Part-time (up to 20 hours per week)Work Arrangement: Fully RemoteCompensation: 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 DetailsIndependent 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.

Biology & Biophysics Research Collaborator (Part-Time)

Emma

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