Senior Data Scientist - Healthcare AI and Analytics

October 13

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MedeAnalytics

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analytics • performance • healthcare • clinical • financial

201 - 500

Description

• With over 30 years in the industry, MedeAnalytics is a leader in healthcare analytics. • Seeking experienced Senior Data Scientist to drive innovation in healthcare analytics using advanced data science techniques. • Focus on developing cutting-edge solutions for payers, providers, value-based care, and population health management. • Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. • Design, develop, evaluate, and deploy robust solutions that leverage innovations in data science, machine learning, and predictive modeling techniques. • Collaborate with product teams and clients to translate real-world healthcare issues into well-defined problem statements and data science solutions. • Develop AI agents for healthcare analytics, enabling autonomous decision-making.

Requirements

• Advanced Degree (Master’s or Ph.D.) in a quantitative field • 5+ years of experience in data science, with a focus on healthcare analytics and NLP. • Proficiency in Python, Jupyter Notebooks, and Python libraries like Pandas, Numpy, and Scikit-learn. • Strong background in machine learning, deep learning, LLM applications, and NLP techniques. • Experience with cloud services: • AWS: Bedrock, SageMaker, Comprehend Medical, Lambda, S3 • Azure: Machine Learning, Cognitive Services, Azure Functions • GCP: Vertex AI, Cloud Natural Language API, Cloud Functions • Experience using and implementing RAG systems and AI agents. • Familiarity with healthcare data standards (HL7, FHIR) and regulatory requirements (HIPAA). • Strong communication skills for presenting complex findings to various stakeholders. • Experience with big data technologies such as Hadoop, Spark, and distributed computing.