<p><strong>What role you will play in team:</strong> Contribute to a team focused on using data science to improve healthcare outcomes.</p><p><strong>What you will do:</strong> You'll develop and deploy models to analyze large healthcare datasets, providing valuable insights.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement predictive models for healthcare applications.</li><li>Perform exploratory data analysis (EDA) of large datasets.</li><li>Build and maintain data pipelines.</li><li>Collaborate with healthcare professionals and other data scientists.</li><li>Present findings and recommendations to stakeholders.</li><li>Adhere to ethical considerations related to healthcare data.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Statistics, Biostatistics, Computer Science, or a related field.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries (scikit-learn, TensorFlow).</li><li>Strong analytical and problem-solving skills.</li><li>Knowledge of healthcare data and regulations (preferred).</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Meaningful work with a positive impact on healthcare.</li><li>Opportunities for professional development.</li><li>Hybrid work model.</li></ul></p><p><strong>A Day in the Life:</strong> A day could involve data cleaning, model development, collaborating with healthcare professionals, and presenting your findings to leadership.</p>