Remote Data Scientist - Walgreens Real-World Evidence (RWE) Data Entry & Analysis Opportunity - $26/Hour

Unlock Your Potential as a Remote Data Scientist at Walgreens

Join the innovative team at Workwarp and take on a pivotal role in shaping the future of healthcare through data-driven insights. We're seeking a highly skilled and experienced Data Scientist to work on Walgreens' Real-World Evidence (RWE) projects, driving business success and improving patient outcomes. As a Remote Data Scientist, you'll be part of a dynamic team that leverages cutting-edge analysis and creative methodologies to inform critical business decisions.

About the Opportunity

Walgreens, a leading healthcare company, is committed to harnessing the power of data science to drive innovation and excellence in patient care. As a Data Scientist on the Scientific Affairs team, you'll play a key role in producing Real-World Evidence (RWE) through advanced analysis and innovative approaches in the clinical trials space. Your contributions will be valued, and you'll be rewarded with a competitive compensation package starting at $26/hour.

Key Responsibilities

• Mine raw datasets to deliver normalized, analysis-ready patient cohorts from in-house data sources or licensed platforms, analyze and interpret results, and inform research strategy.
• Collaborate with cross-functional teams to derive meaningful insights from real-world, clinical, and other data sources to support biopharmaceutical RWE and clinical trial requests.
• Clean, transform, and store data in an integrated data lake for future analysis and broader team utilization.
• Perform 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.
• Build 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 investment decisions.

Essential Qualifications

To succeed in this role, you'll need:

• 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, clustering and partitioning, decision trees, unsupervised learning, time-series analysis, and survival analysis.
• Experience handling large datasets from multiple data sources.
• Experience handling protected patient health information.
• Familiarity with at least one Business Intelligence (BI) tool, such as Tableau, Power BI, Alteryx, or Spotfire.
• A Bachelor's degree in a relevant field, such as statistics, biostatistics, computer science, mathematics, or engineering.

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 engineering.
• Proficiency in EMR/Health IT, disease registries, and insurance claims databases.
• Knowledge of clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode).
• Experience with Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR).
• Experience working with alternative data sources and methods for clinical data collection, particularly those enabled by technology platforms and/or arrangements.
• Familiarity with experimental design, Bayesian modeling, longitudinal data, and computational statistics.
• A strong understanding of statistics and machine learning techniques, with a commitment to ongoing self-learning of technical and non-technical skills.

Career Growth Opportunities and Learning Benefits

As a Data Scientist at Walgreens, you'll have access to a wealth of career growth opportunities and learning benefits. You'll be part of a dynamic team that is shaping the future of healthcare, and you'll have the chance to develop your skills and expertise in a rapidly evolving field. Some of the benefits you can expect include:

• Ongoing training and professional development opportunities.
• Access to cutting-edge tools and technologies.
• Collaboration with cross-functional teams and industry experts.
• Opportunities for career advancement and leadership development.

Work Environment and Company Culture

At Walgreens, we're committed to fostering a culture of innovation, collaboration, and inclusivity. As a remote worker, you'll be part of a distributed team that values flexibility, work-life balance, and employee well-being. Our company culture is built on a foundation of respect, empathy, and teamwork, and we're dedicated to creating an environment that supports the success and growth of our employees.

Compensation, Perks, and Benefits

We offer a competitive compensation package that includes a salary of $26/hour, as well as a range of benefits and perks, such as:

• Comprehensive health insurance.
• Retirement savings plan.
• Paid time off and holidays.
• Professional development opportunities.
• Access to cutting-edge tools and technologies.

Join Our Team!

If you're a motivated and experienced Data Scientist looking to drive business success and improve patient outcomes, we want to hear from you! Apply now to join our team and take the first step towards a rewarding and challenging career at Walgreens.

Ready to join us? The first step is easy. Click apply now and we'll be in touch soon!