Applied Data Scientist - Healthcare AI/ ML

Dice is a company seeking an Applied Data Scientist specialized in Healthcare AI/ML for a long-term contract. The role involves designing and deploying machine learning models for healthcare applications and collaborating with various stakeholders to develop AI solutions.

Responsibilities:

• Design, develop, and deploy machine learning and deep learning models for healthcare applications
• Analyze large-scale structured and unstructured healthcare datasets
• Build predictive models for clinical decision support, disease prediction, patient risk stratification, and operational optimization
• Collaborate with clinicians, product managers, engineers, and researchers to translate healthcare problems into AI solutions
• Develop NLP models for clinical notes and medical documentation
• Evaluate model performance and ensure robustness, fairness, and explainability
• Stay current with advances in AI, healthcare informatics, and biomedical research
• Publish research findings or contribute to patents where applicable
• Ensure compliance with healthcare regulations and data privacy standards

Requirements:

• Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Biomedical Informatics, Bioinformatics, Statistics, or a related field
• 3–8+ years of experience in machine learning or applied AI
• Experience with healthcare datasets such as: Electronic Health Records (EHR), Claims data, Medical imaging, Clinical notes, Wearable device data
• Strong knowledge of: Machine Learning, Deep Learning, NLP, Time-series forecasting, Statistical modeling
• Proficiency in Python
• Experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Experience with SQL and big data tools
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform)