Medical Writer Subject Matter Expert

Innodata (NASDAQ: INOD) is a leading data engineering company.With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider of choice for 4 out of 5 of the world's biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we're helping usher in the promise of AI.Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel, and Germany.We're poised for a period of explosive growth over the next few years.About the Role:At Innodata, we're working with the world's largest technology companies on the next generation of generative AI and large language models (LLMs).We're looking for smart, savvy, and curious subject matter experts.We are seeking a Medical Writer Subject Matter Expert with exceptional writing and analytical skills to join our AI/ML data team.In this role, you will help train advanced Large Language Models (LLMs) by producing, curating, and reviewing high-quality medical and scientific content.Your expertise will directly shape the way AI systems understand, explain, and communicate clinical and biomedical information.Key Responsibilities:Create high-quality, accurate, and medically sound content, including:Clinical and scientific explanations of medical topicsResearch summaries, clinical abstracts, and literature reviewsPatient education materialsMedical problem sets, case studies, and evidence-based Q&ARegulatory, pharmacological, or public health-focused content (as applicable)Collaborate with AI researchers and engineers to:Review and refine medical-related model outputsIdentify and address conceptual gaps in LLM training dataBuild diverse datasets across medical and healthcare domains (e.g., anatomy, pathology, pharmacology, public health, epidemiology, evidence-based medicine)Provide feedback to improve LLM performance in reasoning, comprehension, and communication of healthcare contentEligibility Criteria:Master's degree or PhD in Medicine, Biomedical Sciences, Pharmacy, Public Health, or a related healthcare/clinical discipline(Exceptional candidates with professional degrees such as MD, DO, PharmD, MPH, or equivalent clinical experience will be considered)Strong background in medical/scientific writing, with the ability to communicate complex topics clearly and accuratelyExperience with literature review, evidence synthesis, or regulatory writing is a plusFamiliarity with scientific publishing standards, citation practices, and biomedical databases (e.g., PubMed, Cochrane)Additional Requirement:As part of the project, you are required to complete the English language assessment.This assessment is mandatory and non-billable.