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.

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