<p><strong>What role you will play in team:</strong> Lead the development and implementation of advanced analytics solutions for drug discovery and development.</p><p><strong>What you will do:</strong> You will design, develop, and deploy machine learning models to improve the efficiency and effectiveness of our research processes.</p><p><strong>Key responsibility:</strong><ul><li>Lead the development and implementation of advanced analytics solutions</li><li>Design, develop, and deploy machine learning models for drug discovery and development</li><li>Work with large, complex biological and chemical datasets</li><li>Perform feature engineering and model selection</li><li>Collaborate with scientists and engineers across different departments</li><li>Communicate findings and insights to stakeholders</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>PhD in a relevant field (e.g., Bioinformatics, Computational Biology, Statistics)</li><li>5+ years of experience in a data science role</li><li>Proficiency in Python or R</li><li>Experience with machine learning libraries (e.g., scikit-learn, TensorFlow)</li><li>Strong understanding of statistical modeling and machine learning techniques</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package</li><li>Opportunities for career advancement</li><li>Work on impactful projects that contribute to improving human health</li><li>A collaborative and supportive work environment</li><li>Health Insurance</li></ul></p><p><strong>A Day in the Life:</strong> Your day might involve designing experiments, building machine learning models, analyzing results, and collaborating with other researchers to interpret findings.</p>