Data Scientist In LLM Multimodal Healthcare

Job Description: 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. Apply Job!