Experienced Remote Data Scientist - Real World Evidence and Clinical Trials Analysis Specialist
Introduction to Walgreens and the Role
Walgreens, a leading healthcare and retail company, is seeking an experienced Data Scientist to join its team as a Real World Evidence (RWE) specialist. This is a part-time, remote position that offers a competitive hourly rate of $27. As a Data Scientist at Walgreens, you will play a critical role in analyzing complex healthcare data to inform business decisions and drive growth. If you have a passion for data analysis, a strong understanding of statistical methods, and experience working with large datasets, we encourage you to apply for this exciting opportunity.
Job Summary
The successful candidate will be responsible for creating Real World Evidence (RWE) through advanced analysis and innovative methodologies in the clinical trials space. As a key member of the Scientific Affairs team, you will lead sophisticated data analysis to address critical business questions, collaborating with cross-functional teams to deliver actionable insights. This role reports to the Director, Clinical Data Science.
Key Responsibilities
Mine raw data sets to deliver standardized, analysis-ready patient datasets from in-house data assets or licensed platforms, analyze and interpret results, and help shape analysis strategy.
Partner with various 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.
Clean, transform, and store data into an integrated data lake for future analysis and broader team use.
Perform data mining and statistical analysis to analyze RWE/RWD to discover new insights regarding 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 from biopharmaceutical companies.
Collaborate on the design and execution of outcomes research studies.
Ensure high-quality, comprehensive, and readily interpretable predictions from RWE studies and analyses.
Build dashboards, analysis, and reports for internal and external use.
Conduct a thorough review of new real-world data suppliers, vendors, and drive RWD quality assessments to inform project decisions.
Essential Qualifications
2+ years of experience with R, Python, or SQL.
Experience in designing and executing effective and reproducible statistical analyses related 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
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.
Career Growth Opportunities and Learning Benefits
At Walgreens, we are committed to helping our employees grow and develop in their careers. 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 data analysis and healthcare.
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 competitive hourly rate.
Compensation, Perks, and Benefits
Walgreens offers a range of benefits to its employees, including competitive pay, comprehensive health insurance, and a 401(k) retirement plan. As a part-time employee, you will be eligible for a range of perks, including flexible hours, remote work options, and paid time off.
Conclusion
If you are a motivated and experienced Data Scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. With a competitive hourly rate, flexible hours, and a range of benefits, this is a great chance to join a dynamic and innovative company that values diversity, equity, and inclusion. Apply now to become a part of the Walgreens team and take your career to the next level!
Apply Now
Walgreens, a leading healthcare and retail company, is seeking an experienced Data Scientist to join its team as a Real World Evidence (RWE) specialist. This is a part-time, remote position that offers a competitive hourly rate of $27. As a Data Scientist at Walgreens, you will play a critical role in analyzing complex healthcare data to inform business decisions and drive growth. If you have a passion for data analysis, a strong understanding of statistical methods, and experience working with large datasets, we encourage you to apply for this exciting opportunity.
Job Summary
The successful candidate will be responsible for creating Real World Evidence (RWE) through advanced analysis and innovative methodologies in the clinical trials space. As a key member of the Scientific Affairs team, you will lead sophisticated data analysis to address critical business questions, collaborating with cross-functional teams to deliver actionable insights. This role reports to the Director, Clinical Data Science.
Key Responsibilities
Mine raw data sets to deliver standardized, analysis-ready patient datasets from in-house data assets or licensed platforms, analyze and interpret results, and help shape analysis strategy.
Partner with various 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.
Clean, transform, and store data into an integrated data lake for future analysis and broader team use.
Perform data mining and statistical analysis to analyze RWE/RWD to discover new insights regarding 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 from biopharmaceutical companies.
Collaborate on the design and execution of outcomes research studies.
Ensure high-quality, comprehensive, and readily interpretable predictions from RWE studies and analyses.
Build dashboards, analysis, and reports for internal and external use.
Conduct a thorough review of new real-world data suppliers, vendors, and drive RWD quality assessments to inform project decisions.
Essential Qualifications
2+ years of experience with R, Python, or SQL.
Experience in designing and executing effective and reproducible statistical analyses related 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
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.
Career Growth Opportunities and Learning Benefits
At Walgreens, we are committed to helping our employees grow and develop in their careers. 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 data analysis and healthcare.
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 competitive hourly rate.
Compensation, Perks, and Benefits
Walgreens offers a range of benefits to its employees, including competitive pay, comprehensive health insurance, and a 401(k) retirement plan. As a part-time employee, you will be eligible for a range of perks, including flexible hours, remote work options, and paid time off.
Conclusion
If you are a motivated and experienced Data Scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. With a competitive hourly rate, flexible hours, and a range of benefits, this is a great chance to join a dynamic and innovative company that values diversity, equity, and inclusion. Apply now to become a part of the Walgreens team and take your career to the next level!
Apply Now