Join REDI as a Medical Copy Editor Advancing Early Cancer Detection
About theRole:The Ratner Early Detection Initiative (REDI) seeks an experienced medical copy editor to support our ongoing research and policy work in early cancer detection. This is a regular part-time position for someone who combines meticulous attention to detail with a deep understanding of oncology literature and early detection science. PrimaryResponsibilities:• Edit white papers, journal articles, and policy documents focused on early cancer detection, AI-enhanced screening technologies, and CBC-based machine learning applications• Verify accuracy of every citation against original sources using medical databases (PubMed, Cochrane Library, etc.)• Fact-check clinical data, statistical claims, and research findings against primary literature• Review and improve AI-generated content to ensure scientific accuracy, appropriate tone, and elimination of hallucinations or fabricated references• Ensure consistency in terminology, formatting, and citation style across documents• Flag any scientific or logical inconsistencies in arguments or data interpretation• Prepare manuscripts for journal submission, ensuring compliance with bolthires journal requirementsRequiredQualifications:• Advanced degree (MS, PhD, MD, or equivalent) in oncology, public health, epidemiology, or related field, OR extensive professional experience in medical editing/writing in oncology• Full working knowledge of major AI language models, including Claude, ChatGPT, and Gemini – must understand their capabilities, limitations, and common error patterns• Proven experience editing peer-reviewed medical literature, particularly in cancer screening, early detection, or related fields• Expert knowledge of major citation styles (AMA, APA, Vancouver)• Proficiency with citation management systems (EndNote, Zotero, Mendeley, etc.)• Demonstrated experience identifying and correcting AI-generated content issues, including hallucinated references, fabricated studies, and inappropriate synthesis• Demonstrated ability to verify complex medical and statistical claims against primary sources• Excellent understanding of research methodology and biostatisticsStrongly Preferred:• Familiarity with machine learning/AI applications in healthcare• Experience with hematology and complete blood count (CBC) analysis• Knowledge of health policy, healthcare economics, or health disparities research• Previous work with healthcare systems, academic medical centers, or research institutions• Experience using AI tools productively while maintaining scientific rigorAboutOur Work:You'll be editing content on cutting-edge topics, including CBC-based AI cancer detection, mobile screening initiatives, risk stratification programs, and bolthires-effectiveness analyses of early detection technologies.Our work involves collaboration with major healthcare systems, including Mayo Clinic, Mercy Hospital, and Weill Cornell Medicine. Work Arrangement:• Part-time, ongoing position (approximately 10-20 hours per week, flexible based on project flow)• Remote work acceptable• Compensation commensurate with experience• Projects include both shorter white papers and longer comprehensive analyses requiring deep fact-checkingTo Apply, please submit:1. Resume/CV highlighting relevant medical editing experience2.Cover letter describing your experience with oncology literature, reference verification, and working with AI-generated content3. Two samples of medical editing work (before/after if possible, with identifying information redacted)4. Three professional references Apply tot his job