Experienced Remote Data Scientist – Real World Evidence Analysis and Clinical Trials Support at Walgreens

Introduction to Walgreens and the Role

Walgreens, a leading healthcare and retail company, is seeking an experienced Data Scientist to join its team on a part-time basis. As a Data Scientist, you will play a crucial role in creating Real World Evidence (RWE) through advanced analysis and innovative methodologies in the clinical trials space. You will be an integral part of the Scientific Affairs team, responsible for influencing internal and external decision-making through the use of cutting-edge data science and technology. This is an exceptional opportunity to work remotely and contribute to the development of RWE, analysis, and platform capabilities, applying advanced analytics and tools to resolve scientific questions from biopharmaceutical companies.

Key Responsibilities

In this role, you will lead sophisticated data analysis to address critical business questions. Your key responsibilities will include:

• Mining raw data sets to deliver standardized, analysis-ready patient partners from in-house data assets or licensed platforms, analyzing and interpreting results, and helping shape analysis strategy.
• Collaborating with other members of the Walgreens Clinical Trials team to deliver meaningful insights from real-world, clinical, and other data sources to support biopharmaceutical RWE and clinical trial requests.
• Cleaning, transforming, and storing data into an integrated data lake for future analysis and broader team use.
• Performing data mining and statistical analysis to analyze RWE/RWD and discover new insights regarding patient populations and treatment outcomes.
• Supporting the development of real-world data, analysis, and platform capabilities, applying advanced analytics and tools to resolve scientific questions from biopharmaceutical companies.
• Collaborating on the design and execution of outcomes research studies.
• Ensuring high-quality, comprehensive, and readily interpretable predictions from RWE studies and analyses.
• Building dashboards, analysis, and reports for internal and external use.
• Conducting a level of effort on new real-world data suppliers, vendors, and driving RWD quality evaluations to inform project decisions.

Essential Qualifications

To be successful in this role, you will need:

• 2 years of experience with R, Python, or SQL.
• Experience in designing and executing effective and reproducible statistical analyses with respect to epidemiology and observational research with healthcare data.
• Knowledge of common statistical testing methods, including generalized linear models, clustering and classification, decision trees, solo learning, time series analysis, and survival analysis.
• Experience handling large data from multiple data sources.
• Experience handling protected patient health information.
• Knowledge of at least one of the following: Tableau, Power Bi, Alteryx, Spotfire, or other BI intelligence tools.

Preferred Qualifications

While not essential, the following qualifications are highly desirable:

• Expertise in EMR/Health IT, disease libraries, and insurance claims databases.
• Proficiency in clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode).
• Experience in 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 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.
• Understanding of statistical and machine learning techniques, ability to continue self-learning of technical and non-technical skills.

Skills and Competencies

To excel in this role, you will need to possess excellent analytical, problem-solving, and communication skills. You should be able to work independently and collaboratively as part of a team, with a strong attention to detail and ability to prioritize tasks effectively. Proficiency in data visualization tools and programming languages, such as R or Python, is essential.

Career Growth Opportunities and Learning Benefits

At Walgreens, we are committed to supporting the growth and development of our employees. As a Data Scientist, you will have access to a range of training and development opportunities, including workshops, conferences, and online courses. You will also have the chance to work with a talented team of professionals who are passionate about using data science to drive business decisions and improve patient outcomes.

Work Environment and Company Culture

Walgreens is a dynamic and innovative company that values diversity, equity, and inclusion. We are committed to creating a work environment that is supportive, collaborative, and respectful of all employees. As a remote worker, you will be able to work from the comfort of your own home, with flexible hours and a range of benefits to support your well-being and productivity.

Compensation, Perks, and Benefits

We offer a competitive hourly rate of $27 per hour, as well as a range of benefits, including health insurance, retirement savings, and paid time off. You will also have access to a range of perks, including discounts on Walgreens products and services, and opportunities to participate in company-sponsored events and activities.

Conclusion

If you are a motivated and experienced Data Scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. As a member of the Walgreens team, you will have the chance to work on complex and meaningful projects, collaborate with a talented team of professionals, and contribute to the development of RWE and analysis capabilities. Don't miss out on this opportunity to take your career to the next level and apply today!

Apply now and join our team of talented professionals who are passionate about using data science to drive business decisions and improve patient outcomes.