Sr. Data Scientist - Healthcare AI & Analytics - (Remote - US)

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Requirements:

• Master’s or Ph.D. in a quantitative field such as Data Science, Computer Science, or a related discipline.
• At least 5 years of experience in data science with a strong focus on healthcare analytics, machine learning, and NLP.
• Proficiency in Python, Jupyter Notebooks, and libraries like Pandas, Numpy, and Scikit-learn.
• Expertise in cloud technologies, with experience using AWS, Azure, and GCP for AI/ML model deployment.
• Strong experience with Generative AI, LLMs, and cloud-based AI solutions.
• Familiarity with healthcare data standards (HL7, FHIR) and HIPAA regulatory requirements.

Responsibilities:

• Lead the design and deployment of machine learning and AI models, including NLP techniques, to address key healthcare challenges.
• Develop and maintain scalable data analytics pipelines on cloud platforms (AWS, Azure, GCP).
• Collaborate with product teams to identify healthcare issues and define data science solutions that align with business goals.
• Conduct exploratory data analysis on both structured and unstructured healthcare data to generate insights.
• Implement text classification, sentiment analysis, and named entity recognition models to support healthcare applications.
• Mentor and provide technical guidance on GenAI and LLMs to other team members, ensuring best practices in model development.