Medical Specialist

Medical Specialist role at Innodata Inc. Overview Job Title: Generative AI Associate Analyst (LLM Training – Medical Domain)Location: RemoteEmployment Type: Flexible Contract Role (Part-time, up to 25 hours weekly) About the Role We are seeking highly qualified professionals with (Master's or PhD) in Medical Microbiology to support the development of state-of-the-art Large Language Models (LLMs). You will play a critical role in shaping how AI understands and communicates complex biomedical knowledge, with a specific focus on microbiological sciences. Key Responsibilities Critically assess AI-generated responses in topics including microbial taxonomy, infectious disease mechanisms, host–pathogen interactions, diagnostic microbiology, antimicrobial resistance, and laboratory methodologies. Apply structured annotation to texts, including labelling for scientific correctness, terminology accuracy, logical structure, and clinical relevance. Categorize model outputs using domain‑specific taxonomies (e.g., pathogen type, disease process, diagnostic method). Create real‑world clinical or laboratory scenarios with researchers to design and test prompts to assess the model's reasoning and adaptability to professional contexts. Required Qualifications Master's or PhD in Medical Microbiology, Immunology, or a closely related biomedical discipline. Demonstrated expertise in core areas such as microbial pathogenesis, clinical diagnostics, virology, bacteriology, parasitology, and immunology. Familiarity with laboratory procedures, microbiological instrumentation, and interpretation of diagnostic test results (e.g., blood cultures, PCR, AST). Excellent written communication skills and fluency in English. Additional Information Referrals increase your chances of interviewing at Innodata Inc. by 2x. #J-18808-Ljbffr