Remote Data Scientist - Real World Evidence (RWE) Expert for Walgreens at $27/Hour

Unlock Your Career Potential as a Remote Data Scientist at Walgreens

Join the innovative team at Workwarp and Walgreens, where you're not just a Data Scientist, but a pioneer in shaping the future of healthcare through cutting-edge data analysis and Real World Evidence (RWE). As a key member of the Scientific Issues team, you'll be at the forefront of driving informed decision-making and influencing both internal and external stakeholders with your expertise.

About the Role

We're seeking a highly skilled and experienced Data Scientist to fill an immediate opening for a remote position with Walgreens, a leading name in the healthcare industry. As a Data Scientist - RWE, you'll be responsible for analyzing complex data sets, developing insights, and collaborating with cross-functional teams to drive business growth and improve patient outcomes.

Key Responsibilities

• Mine and normalize raw data sets from various sources, including in-house data resources and licensed platforms, to deliver high-quality, analysis-ready patient cohorts.


• Collaborate with Walgreens Clinical Trial colleagues to derive meaningful insights from real-world, clinical, and other data sources, supporting biopharmaceutical RWE and clinical trial requests.


• Clean, transform, and store data in an integrated data lake for future analysis and broader team utilization.


• Perform advanced data mining and statistical analysis to uncover new insights into patient populations and treatment outcomes.


• Support the development of real-world data, analytics, and platform capabilities, applying advanced analytics and tools to address scientific questions from biopharmaceutical companies.


• Co-develop study designs and execution plans for outcomes research studies.


• Ensure high-quality, rigorous, and interpretable outputs from RWE studies and analyses.


• Create dashboards, analyses, and reports for internal and external use.


• Conduct due diligence on new real-world data suppliers and vendors, driving RWD quality assessments to inform project decisions.

Essential Qualifications

To succeed in this role, you'll need:

• A Bachelor's degree or higher in a quantitative or computational field, such as statistics, computer science, mathematics, or engineering.


• At least 3 years of experience in a quantitative or computational role, with a strong background in data analysis and interpretation.


• 4+ years of experience with programming languages such as R, Python, or SQL.


• Experience designing and executing robust and reproducible statistical analyses in the context of epidemiology and observational research with healthcare data.


• Knowledge of common statistical testing methods, including generalized linear models, classification and regression, decision trees, unsupervised learning, time-series analysis, and survival analysis.


• Experience handling large datasets from multiple sources.


• Experience working with protected patient health information.


• Familiarity with at least one Business Intelligence (BI) tool, such as Tableau, Power BI, Alteryx, or Spotfire.

Preferred Qualifications

To take your application to the next level, consider the following preferred qualifications:

• A PhD or graduate degree in a relevant field, such as statistics, biostatistics, computer science, mathematics, or biomedical engineering.


• Proficiency in EMR/Health IT, disease libraries, and insurance claims datasets.


• Knowledge of clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (e.g., ICD9/10/ReadCode).


• Experience with Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence studies or clinical trials.


• Experience working with alternative data sources and methods for clinical data collection, particularly those enabled by technology platforms and/or devices.


• Experience with study design, Bayesian modeling, longitudinal data, and computational statistics.


• A strong understanding of statistics and machine learning techniques, with a commitment to ongoing self-learning and professional development.

What We Offer

As a valued member of our team, you'll enjoy:

• A competitive salary of $27/hour.


• A flexible, remote work arrangement that allows you to work from anywhere.


• Opportunities for career growth and professional development in a dynamic and innovative industry.


• A collaborative and supportive work environment that fosters creativity and excellence.


• A comprehensive benefits package and perks that support your overall well-being.

Company Culture and Work Environment

At Workwarp and Walgreens, we're committed to creating a work environment that's inclusive, collaborative, and supportive. Our team is passionate about harnessing the power of data to drive positive change in the healthcare industry, and we're looking for talented individuals who share our vision.

As a remote Data Scientist, you'll have the opportunity to work with a diverse team of experts from various backgrounds and disciplines. You'll be encouraged to share your ideas, challenge assumptions, and develop innovative solutions to complex problems.

Career Growth and Learning Benefits

We're dedicated to helping our team members grow and develop their skills. As a Data Scientist at Walgreens, you'll have access to:

• Ongoing training and professional development opportunities.


• Collaboration with experienced professionals who can mentor and guide you.


• Opportunities to work on high-impact projects that drive business results.


• A culture that encourages innovation, creativity, and experimentation.

Join Our Team

If you're a motivated and talented Data Scientist looking for a challenging and rewarding role, we encourage you to apply. With our competitive salary, flexible work arrangement, and opportunities for career growth, we offer a compelling proposition for professionals who are passionate about data analysis and healthcare.

Ready to take the next step? Click the "Apply Now" button to submit your application and join our team of innovative professionals.

Don't miss this opportunity to shape the future of healthcare and advance your career as a Data Scientist at Walgreens. Apply today!

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