Experienced Full Stack Data Scientist – Clinical Research and Evidence Generation

Are you a highly skilled data scientist with a passion for clinical research and evidence generation? Do you want to join a leading American pharmaceutical retailer and company that is dedicated to improving health outcomes and enhancing the quality of life for its customers? Look no further! Walgreens is seeking an experienced full stack data scientist to join its team of talented professionals who are committed to driving innovation and excellence in the field of clinical research and evidence generation.

About Walgreens

Walgreens is a well-established and respected American pharmaceutical retailer and company that was founded in 1901 in Chicago, Illinois. With a rich history of innovation and a commitment to excellence, Walgreens has grown to become one of the largest drug store chains in the United States. Our company offers a wide range of products and services, including prescription drugs, over-the-counter drugs, health and wellness products, beauty products, photo shoots, and more.

Job Summary

As an experienced full stack data scientist at Walgreens, you will play a critical role in generating evidence to support clinical research and development. You will be responsible for designing and executing complex data analysis projects, developing and implementing data visualization tools, and collaborating with cross-functional teams to drive business decisions. If you are a highly motivated and detail-oriented data scientist with a passion for clinical research and evidence generation, we encourage you to apply for this exciting opportunity.

Key Responsibilities

As an experienced full stack data scientist at Walgreens, your key responsibilities will include:

• Designing and executing complex data analysis projects to generate evidence to support clinical research and development
• Developing and implementing data visualization tools to communicate complex data insights to stakeholders
• Collaborating with cross-functional teams, including clinical research, regulatory, and commercial teams, to drive business decisions
• Developing and maintaining data pipelines and infrastructure to support data analysis and visualization
• Identifying and implementing opportunities to improve data quality, accuracy, and efficiency
• Staying up-to-date with industry trends and emerging technologies in data science and clinical research
• Collaborating with external partners and vendors to develop and implement data solutions
• Developing and maintaining documentation and technical specifications for data analysis and visualization projects

Essential Capabilities

To be successful in this role, you will need to possess the following essential capabilities:

• A bachelor's degree in a quantitative field, such as mathematics, statistics, computer science, or engineering
• A minimum of 5 years of experience in data science, with a focus on clinical research and evidence generation
• Strong programming skills in languages such as Python, R, or SQL
• Experience with data visualization tools, such as Tableau, Power BI, or D3.js
• Strong analytical and problem-solving skills, with the ability to communicate complex data insights to stakeholders
• Experience working with large datasets and developing data pipelines and infrastructure to support data analysis and visualization
• Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams

Preferred Capabilities

While not required, the following preferred capabilities would be beneficial in this role:

• A master's or Ph.D. degree in a quantitative field, such as mathematics, statistics, computer science, or engineering
• Experience with machine learning and artificial intelligence techniques, such as deep learning or natural language processing
• Experience with cloud-based data platforms, such as Amazon Web Services or Microsoft Azure
• Experience with data governance and compliance, such as HIPAA or GDPR
• Experience with agile development methodologies and version control systems, such as Git

About the Role

As an experienced full stack data scientist at Walgreens, you will have the opportunity to work on a wide range of projects and initiatives that are focused on generating evidence to support clinical research and development. You will be part of a talented team of data scientists, clinicians, and researchers who are passionate about improving health outcomes and enhancing the quality of life for our customers. You will have the opportunity to work on complex data analysis projects, develop and implement data visualization tools, and collaborate with cross-functional teams to drive business decisions.

Work Environment and Culture

Walgreens is a dynamic and fast-paced work environment that is committed to excellence and innovation. Our company culture is built on a foundation of teamwork, collaboration, and mutual respect. We are a diverse and inclusive organization that values the contributions of all employees, regardless of their background, experience, or perspective. We offer a range of benefits and perks, including health care benefits, prescription drug discounts, employee assistance programs, paid time off, retirement plans, employee discounts, professional development opportunities, and wellness programs.

Compensation and Benefits

As an experienced full stack data scientist at Walgreens, you will be compensated with a competitive salary and benefits package, including:

• A salary of $26 per hour
• Health care benefits, including medical, dental, and vision insurance
• Prescription drug discounts
• Employee assistance program (EAP)
• Paid time off, including holidays, vacations, and sick days
• Retirement plans, including 401(k) plans
• Employee discounts on products and services sold in Walgreens stores
• Professional development opportunities, including training programs and skills development initiatives
• Wellness programs, including fitness challenges, health screenings, and wellness resources

How to Apply

If you are a highly motivated and detail-oriented data scientist 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 that outlines your experience and qualifications for the role. We look forward to hearing from you!

Apply Now

Apply Job! Apply for this job