<p><strong>What role you will play in team:</strong>  Develop and apply advanced statistical and machine learning techniques to analyze large datasets related to clinical trials and drug discovery.</p><p><strong>What you will do:</strong> Contribute to the design and implementation of statistical models to support research and development in the pharmaceutical industry.</p><p><strong>Key responsibility:</strong><ul><li>Develop and apply statistical and machine learning models to analyze clinical trial data.</li><li>Design and conduct statistical analyses to evaluate the efficacy and safety of new drugs.</li><li>Collaborate with scientists and researchers to interpret results and inform decision-making.</li><li>Develop and maintain data pipelines and databases.</li><li>Communicate results clearly and concisely to both technical and non-technical audiences.</li><li>Stay abreast of the latest developments in statistical modeling and machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>PhD in Statistics, Biostatistics, or a related field.</li><li>Strong programming skills in R or Python.</li><li>Experience with statistical modeling techniques (e.g., regression, survival analysis).</li><li>Experience with machine learning algorithms (e.g., classification, regression).</li><li>Excellent communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional growth and development.</li><li>Work in a collaborative and supportive environment focused on improving human health.</li><li>Contribute to cutting-edge research in the pharmaceutical industry.</li></ul></p><p><strong>A Day in the Life:</strong>  A typical day involves analyzing data, developing and testing statistical models, collaborating with researchers, and presenting findings to stakeholders.</p>