Healthcare Data Scientist

Skills

• Python programming
• Machine learning libraries (e.g., scikit-learn, TensorFlow)
• SQL for querying databases
• Visualization tools (e.g., matplotlib, seaborn, Tableau)
• Understanding of EHRs, claims data, and clinical workflows

Responsibilities

• Analyze healthcare data to identify trends, patterns, and insights.
• Leverage Python programming skills to manipulate and analyze large datasets.
• Design and develop custom machine learning solutions for healthcare applications.
• Collaborate with data scientists and engineers to address industry-specific challenges.
• Train and evaluate machine learning models for healthcare use cases.
• Prepare data features for analysis and modeling.
• Implement MLOps practices for model management, deployment, and monitoring.
• Interpret data to assess the clinical value of healthcare interventions.
• Collaborate with cross-functional teams including clinicians, data engineers, and business stakeholders.

Education

• Master’s or Ph.D. in a relevant field (e.g., data science, computer science, bioinformatics)

Benefits