<p><b>What role you will play in team:</b> You'll be a vital member of our team, developing and implementing machine learning solutions for healthcare analytics.</p><p><b>What you will do:</b> You will work with large healthcare datasets to extract insights and improve patient outcomes.</p><p><b>Key responsibility:</b><ul><li>Develop and deploy machine learning models for healthcare applications (e.g., predictive modeling, risk stratification).</li><li>Analyze large, complex healthcare datasets using various statistical techniques.</li><li>Collaborate with clinicians and other stakeholders to identify and solve healthcare problems.</li><li>Communicate findings and recommendations effectively to both technical and non-technical audiences.</li><li>Maintain and improve existing machine learning models.</li><li>Stay up-to-date on the latest advances in healthcare analytics and machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree or PhD in a quantitative field (e.g., statistics, biostatistics, computer science).</li><li>1-2 years of experience in data science, with a focus on healthcare applications preferred.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Understanding of HIPAA regulations and healthcare data privacy.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and comprehensive benefits package.</li><li>Opportunities for professional development and growth within a leading healthcare organization.</li><li>Meaningful work with a positive impact on patient care.</li><li>Collaborative and supportive team environment.</li></ul></p><p><b>A Day in the Life:</b> Your days will be focused on applying data science techniques to healthcare data to uncover important insights and develop solutions.</p>