:We are seeking a highly skilled Data Scientist and contribute to groundbreaking advancements in LLM multimodal healthcare. The ideal candidate will have a strong foundation in data science methodologies and a deep understanding of LLM applications, particularly in the context of radiology, visual images, and text.Key Responsibilities:Develop and implement innovative LLM models for analyzing and interpreting radiology images, text data, and other relevant healthcare information.Collaborate with cross-functional teams to identify and address complex healthcare challenges using advanced data science techniques.Explore and apply state-of-the-art LLM architectures and methodologies to enhance the accuracy and efficiency of our models.Contribute to the development of intellectual property (patents, publications) related to LLM applications in healthcare.Qualifications:Advanced degree in Computer Science, Data Science, Statistics, or a related field.6+ years of hands-on experience in data science, with a strong focus on LLM applications.Proven expertise in working with large-scale datasets, including radiology images, text data, and other healthcare-related information.Deep understanding of LLM architectures, training methodologies, and evaluation metrics.Proficiency in Python, R, or other relevant programming languages.Experience with cloud-based platforms (e.g., AWS, GCP, Azure) and data science tools (e.g., TensorFlow, PyTorch, Scikit-learn).Strong problem-solving, analytical, and communication skills.Preferred Qualifications:Experience working on cancer-related projects.Familiarity with healthcare data standards and regulations (e.g., HIPAA, GDPR).A track record of obtaining patents or publishing research papers in the field of data science or healthcare.Graduation from a prestigious institution such as IIT, NIT, IIM, or BITS Pilani.
Expertia AI Technologies
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