<p><b>What role you will play in team:</b> You will collaborate with scientists and researchers to develop data-driven solutions in the pharmaceutical industry. You will use advanced analytical techniques to analyze clinical trial data and support drug development.</p><p><b>What you will do:</b>  You will conduct statistical analysis, build predictive models and apply machine learning techniques to gain insights from complex datasets. You will translate insights into actionable recommendations.</p><p><b>Key responsibility:</b><ul><li>Collaborate with scientists and researchers.</li><li>Conduct statistical analysis of clinical trial data.</li><li>Develop and implement machine learning models.</li><li>Visualize data and communicate findings effectively.</li><li>Support drug development process with data-driven insights.</li><li>Stay up-to-date with the latest advancements in data science.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in Statistics, Biostatistics, or a related field.</li><li>1-2 years of experience in data science within the pharmaceutical or healthcare industry.</li><li>Proficiency in R or Python.</li><li>Strong knowledge of statistical methods and machine learning.</li><li>Experience with clinical trial data is a plus.</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>Positive and supportive work environment.</li><li>Health insurance.</li><li>Paid time off.</li></ul></p><p><b>A Day in the Life:</b> A typical day may involve analyzing clinical trial data, building and testing models, and discussing findings with collaborators.</p>