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Remote Part-Time Data Scientist - Real World Evidence Research at Walgreens ($27/Hour)

Remote · USA Full-time New today

Unlock Your Potential as a Data Scientist at Walgreens

Walgreens, a leading name in the healthcare industry, is seeking a highly skilled and experienced Data Scientist to join their team on a part-time, remote basis. As a Data Scientist - Real World Evidence (RWE) Research, you will play a crucial role in shaping the future of healthcare by analyzing complex data to inform business decisions and drive innovation.

About Walgreens and the Role

Walgreens is a trusted brand with a rich history of providing quality healthcare services and products. As a part-time Data Scientist, you will be an integral part of the Scientific Issues team, working closely with cross-functional teams to drive business growth through data-driven insights. This is an exciting opportunity to leverage your analytical skills and expertise in data science to make a meaningful impact in the healthcare industry.

Key Responsibilities

  • Mine and analyze large datasets to deliver normalized, research-ready patient cohorts from in-house data sources or licensed platforms, and interpret results to inform research strategy.
  • Collaborate with various stakeholders, including biopharmaceutical companies, to deliver insights from real-world data sources, clinical data, and other relevant data sources.
  • Design, 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 resolve scientific questions.
  • Work collaboratively on the design and execution of outcomes research studies.
  • Ensure high-quality, rigorous, and interpretable outputs from RWE studies and analyses.
  • Develop dashboards, analyses, and reports for internal and external use.
  • Conduct due diligence on new real-world data suppliers and vendors, and drive RWD quality assessments to inform investment decisions.

Essential Qualifications and Skills

To be successful in this role, you will need:

  • A Bachelor's degree in a relevant field (e.g., Computer Science, Statistics, Mathematics).
  • At least 2 years of experience with programming languages such as R, Python, or SQL.
  • Experience in designing and executing robust and reproducible statistical analyses in the context of epidemiology and observational research with healthcare data.
  • Knowledge of common statistical testing methodologies, including generalized linear models, clustering and classification, decision trees, machine 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, Spotfire, or other similar tools.

Preferred Qualifications and Skills

While not essential, the following skills and experience will be considered a plus:

  • Expertise 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 (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 alternative methods for clinical data collection, particularly those enabled by technology platforms and/or solutions.
  • Experience with trial design, Bayesian modeling, sequential data, computational statistics.
  • A strong understanding of statistics and machine learning methodologies, with a commitment to ongoing self-learning of technical and non-technical skills.

What We Offer

As a part-time Data Scientist at Walgreens, you can expect:

  • A competitive hourly rate of $27.
  • The opportunity to work remotely and maintain a healthy work-life balance.
  • A dynamic and supportive work environment that fosters growth and innovation.
  • Access to cutting-edge technologies and tools.
  • Opportunities for career advancement and professional development.
  • A comprehensive benefits package (details available upon request).

Why Join Walgreens?

Walgreens is a company with a rich history and a strong commitment to improving the health and wellbeing of its customers. By joining our team, you will be part of a dynamic organization that is shaping the future of healthcare. As a Data Scientist, you will have the opportunity to make a meaningful impact on business decisions and drive innovation in the industry.

How to Apply

If you are a motivated and experienced Data Scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. To submit your application, please visit our website and follow the registration process. We look forward to hearing from you!

Don't miss this chance to take your career to the next level. Apply now and join the Walgreens team!

Apply for this job

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