Experienced Full Stack Data Analyst – Clinical Research and Evidence Generation

About Walgreens

Walgreens is a leading healthcare company that has been a trusted name in the industry for over a century. With a strong commitment to innovation and customer satisfaction, we strive to provide the best possible care and services to our patients. As a company, we are dedicated to improving the health and well-being of our communities, and we are seeking talented individuals to join our team of experts in the field of clinical research and evidence generation.

Job Summary

We are seeking an experienced Full Stack Data Analyst to join our team of clinical researchers and evidence generators. As a key member of our team, you will be responsible for creating genuine proof (RWE) through cutting-edge research and innovative methods in the clinical trials space. You will work closely with our team of experts to design and execute strong and reproducible statistical analyses, and to develop and implement advanced data science and technology solutions to address complex business questions.

Key Responsibilities

• Mine crude information collections to convey normalized, examination prepared patient associates from in-house information resources or authorized stages, dissect and decipher results, and help shape examination procedure.
• Accomplices with different individuals from the Walgreens Clinical Preliminary colleagues to convey significant bits of knowledge from genuine world, clinical and different information sources to help biopharmaceutical RWE and clinical preliminary solicitations.
• Cleans, changes and stores information into a coordinated information lake for future investigation and more extensive group utilization.
• Performs information mining and measurable examination to break down RWE/RWD to find new bits of knowledge in regards to patient populaces and treatment results.
• Upholds the improvement of certifiable information, examination and stage capacities, applying progressed investigation and instruments to resolve logical inquiries from biopharmaceutical organizations.
• Teams up on plan and execution of results research studies.
• Guarantees superior grade, thorough and promptly interpretable expectations from RWE review and examinations.
• Assembles dashboards, examination and reports for inner and outer utilization.
• Conducts an expected level of effort on new true information suppliers sellers and drive RWD quality evaluations to illuminate speculation choices.

Essential Capabilities

To be successful in this role, you will need to possess the following essential capabilities:

• Experience in planning and executing strong and reproducible statistical analyses with regards to the study of disease transmission and observational research with healthcare data.
• Knowledge of normal statistical testing methods including generalized linear models, regression and classification, decision trees, machine learning, time series analysis, and survival analysis.
• Experience handling large data from different information sources.
• Experience handling protected patient health data.
• Knowledge of at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other BI analytics tools.

Favored Capabilities

In addition to the essential capabilities, we are looking for candidates with the following favored capabilities:

• PhD, Graduate degree in statistics/biostatistics, software engineering, mathematics, systems engineering, biomedical engineering, or related field.
• Mastery in EMR/Health IT, disease libraries, and claims data sets.
• Skills in clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode).
• Experience in Good Clinical Practice (GCP) as well as regulatory compliance rules for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR).
• Experience working on alternative data sources and alternative methods for clinical data collection, particularly those enabled by technology platforms and solutions.
• Experience with experimental design, Bayesian modeling, sequential data, computational statistics.
• Understanding of statistics and AI techniques, ability to continue self-learning of technical and non-technical skills.

What We Offer

As a member of our team, you will have the opportunity to work on exciting projects, collaborate with experts in the field, and develop your skills and knowledge in data science and technology. We offer a competitive salary and benefits package, as well as opportunities for career growth and professional development.

Work Environment and Company Culture

Our company culture is built on a foundation of innovation, collaboration, and customer satisfaction. We are committed to creating a work environment that is inclusive, diverse, and supportive of our employees' needs and goals. We offer a flexible work schedule, remote work options, and a comprehensive benefits package.

Compensation, Perks, and Benefits

We offer a competitive salary and benefits package, including:

• Salary: $20-30/hour
• Benefits package, including health insurance, retirement plan, and paid time off
• Flexible work schedule and remote work options
• Opportunities for career growth and professional development
• Comprehensive training and support

How to Apply

If you are a motivated and talented individual with a passion for data science and technology, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you!