Medical Specialist

2 semanas atrás


Manaus, Brasil Innodata Inc. Tempo inteiro

Overview Generative AI Associate Analyst (LLM Training – Medical Domain) – Remote, Flexible Contract (Part‑time, up to 25 hours weekly).We are seeking highly qualified professionals with a Master’s or PhD in Medical Microbiology (or closely related biomedical discipline) to support the development of state‑of‑the‑art Large Language Models (LLMs) in the medical microbiology domain. Key Responsibilities Critically assess AI‑generated responses on topics including microbial taxonomy, infectious disease mechanisms, host–pathogen interactions, diagnostic microbiology, antimicrobial resistance, and laboratory methodologies. Apply structured annotation to texts, labeling 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 that evaluate the model’s reasoning and adaptability to professional contexts (e.g., interpreting culture reports, recommending diagnostic tests, understanding resistance profiles). Provide feedback and annotations that inform the improvement of AI systems used in healthcare education, diagnostics support, public health communication, and biomedical research. 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. Completion of an English language assessment is required. Additional Information Applicant must be willing to complete the mandatory, non‑billable English assessment. This role is part of a broader project focused on enhancing AI in healthcare. #J-18808-Ljbffr


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