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Data Scientist with Healthcare Expertise
at Client based at Bangalore location.
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Data Scientist with LLM and Healthcare Expertise
Keywords: Data Scientist, LLM, Radiology, Healthcare, Machine Learning, Deep Learning, AI, Python, TensorFlow, PyTorch, Scikit-learn, Data Analysis, Medical Imaging, Clinical Data, HIPAA, FDA.
Responsibilities:
· Develop and deploy advanced machine learning models, particularly focusing on Large Language Models (LLMs) and their application in the healthcare domain.
· Leverage your expertise in radiology, visual images, and text data to extract meaningful insights and drive data-driven decision-making.
· Collaborate with cross-functional teams to identify and address complex healthcare challenges.
· Conduct research and explore new techniques to enhance the performance and efficiency of our AI models.
· Stay up-to-date with the latest advancements in machine learning and healthcare technology.
Qualifications:
· Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
· 6+ years of hands-on experience in data science and machine learning.
· Strong proficiency in Python and popular data science libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
· Deep understanding of LLM architectures, training methodologies, and applications.
· Expertise in working with radiology images, visual data, and text data.
· Experience in the healthcare domain, particularly in areas such as medical imaging, clinical data analysis, or patient outcomes.
· Excellent problem-solving, analytical, and communication skills.
Preferred Qualifications:
· PhD in Computer Science, Data Science, or a related field.
· Experience with cloud platforms (e.g., AWS, GCP, Azure).
· Knowledge of healthcare standards and regulations (e.g., HIPAA, FDA).
· Publications in relevant academic journals or conferences.
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- Documentation & Communication: Document data management procedures, contribute to data governance practices, and effectively communicate findings with team members and stakeholders.
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- Exposure to global clients and complex data management projects.
- Competitive benefits, including health coverage, paid time off, and a collaborative work environment.
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