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:

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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:

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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:

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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