<p><b>What role you will play in team:</b> Contribute to the development and application of advanced analytics techniques to improve drug discovery and development processes. Collaborate with scientists and engineers to solve complex problems.</p><p><b>What you will do:</b> Develop and apply machine learning models to analyze large biological datasets.  Conduct experiments and evaluate model performance.  Collaborate with cross-functional teams to translate findings into actionable insights.</p><p><b>Key responsibility:</b><ul><li>Develop and apply machine learning algorithms to analyze biological data.</li><li>Collaborate with scientists and engineers to solve complex problems.</li><li>Develop and maintain data pipelines for processing large datasets.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Communicate findings and recommendations to stakeholders.</li><li>Stay up-to-date with the latest advancements in machine learning and bioinformatics.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>PhD or Master's degree in Bioinformatics, Computational Biology, or related field.</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning algorithms and statistical modeling.</li><li>Experience working with biological datasets (e.g., genomics, proteomics).</li><li>Excellent communication and collaboration skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Meaningful work contributing to advancements in healthcare.</li><li>Hybrid work options.</li></ul></p><p><b>A Day in the Life:</b> You'll be working with large biological datasets, developing and testing machine learning models, and collaborating with other scientists and engineers.</p>