**Experienced Full Stack Data Analyst – Clinical Research and Evidence Generation**

**Job Summary:** Are you a highly motivated and detail-oriented data analyst with a passion for clinical research and evidence generation? Do you have a strong background in statistical analysis and a keen eye for detail? We are seeking an experienced Full Stack Data Analyst to join our team at Walgreens, a leading healthcare company dedicated to improving patient outcomes and advancing medical research. **About Us:** Walgreens is a global leader in healthcare and retail, with a rich history of innovation and commitment to excellence. Our company is dedicated to providing high-quality products and services to our customers, while also advancing medical research and improving patient outcomes. As a Full Stack Data Analyst, you will play a critical role in our clinical research and evidence generation efforts, working closely with our team of experts to analyze complex data sets and generate actionable insights. **Key Responsibilities:** As a Full Stack Data Analyst, you will be responsible for: * **Data Mining and Analysis:** Mining crude data sets to extract meaningful insights and patterns, and developing statistical models to analyze and interpret results. * **Collaboration and Communication:** Working closely with our clinical research team to identify key research questions and develop strategic plans to address them. * **Data Visualization and Reporting:** Creating dashboards, reports, and visualizations to communicate complex data insights to stakeholders and inform business decisions. * **Data Quality and Integrity:** Ensuring the accuracy, completeness, and consistency of our data sets, and developing processes to maintain data quality and integrity. * **Research and Development:** Staying up-to-date with the latest research and development in clinical research and evidence generation, and applying this knowledge to improve our data analysis and reporting capabilities. * **Project Management:** Managing multiple projects simultaneously, prioritizing tasks, and meeting deadlines to ensure timely completion of projects. **Essential Qualifications:** * **Bachelor's Degree:** A bachelor's degree in a quantitative field, such as statistics, mathematics, computer science, or engineering. * **Experience:** At least 2 years of experience in data analysis, statistical modeling, and data visualization. * **Technical Skills:** Proficiency in statistical software packages, such as R or SAS, and data visualization tools, such as Tableau or Power BI. * **Communication Skills:** Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams. **Preferred Qualifications:** * **Advanced Degree:** A master's or doctoral degree in a quantitative field, such as statistics, mathematics, computer science, or engineering. * **Experience with EMR/Health IT:** Experience working with electronic medical records (EMR) and health information technology (HIT) systems. * **Knowledge of Clinical Research:** Knowledge of clinical research principles, including Good Clinical Practice (GCP) and regulatory compliance. * **Experience with Alternative Data Sources:** Experience working with alternative data sources, such as claims data, electronic health records, or wearable devices. * **Familiarity with Machine Learning:** Familiarity with machine learning techniques, including supervised and unsupervised learning, and experience with deep learning frameworks. **Skills and Competencies:** * **Analytical and Problem-Solving Skills:** Strong analytical and problem-solving skills, with the ability to identify complex problems and develop creative solutions. * **Communication and Collaboration Skills:** Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. * **Technical Skills:** Proficiency in statistical software packages, data visualization tools, and programming languages, such as R, Python, or SQL. * **Project Management Skills:** Strong project management skills, with the ability to prioritize tasks, manage multiple projects simultaneously, and meet deadlines. * **Continuous Learning:** A commitment to continuous learning and professional development, with a desire to stay up-to-date with the latest research and development in clinical research and evidence generation. **Career Growth Opportunities and Learning Benefits:** As a Full Stack Data Analyst at Walgreens, you will have the opportunity to: * **Develop Your Skills:** Develop your skills in data analysis, statistical modeling, and data visualization, and stay up-to-date with the latest research and development in clinical research and evidence generation. * **Work with a Talented Team:** Work with a talented team of experts in clinical research and evidence generation, and collaborate with cross-functional teams to drive business results. * **Contribute to High-Impact Projects:** Contribute to high-impact projects that drive business results and improve patient outcomes. * **Enjoy a Competitive Compensation Package:** Enjoy a competitive compensation package, including a salary range of $20-30/hour, and a comprehensive benefits package. **Work Environment and Company Culture:** As a Full Stack Data Analyst at Walgreens, you will work in a dynamic and fast-paced environment, with a focus on innovation and excellence. Our company culture is built on a foundation of collaboration, respect, and open communication, and we are committed to creating a workplace that is inclusive, diverse, and supportive of all employees. **How to Apply:** If you are a motivated and detail-oriented data analyst with a passion for clinical research and evidence generation, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience, and we will be in touch to discuss your application. Apply for this job