**Experienced Full Stack Data Scientist – Real-World Evidence (RWE) and Clinical Data Science**

Are you a highly skilled data scientist with a passion for leveraging advanced analytics and technologies to drive business growth and improve patient outcomes? Do you have a strong background in data analysis, machine learning, and statistical modeling? If so, we invite you to join blithequark's Clinical Data Science team as a Data Scientist – RWE, where you will play a critical role in producing Real-World Evidence (RWE) to support biopharmaceutical companies and medical trials. **About blithequark** blithequark is a leading healthcare, pharmacy, and retail company with a 170-year history of caring for communities. As part of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), we are committed to creating more joyful lives through better health. With over 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, blithequark is proud to be a community health destination serving nearly 10 million customers every day. Our pharmacists play a vital role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services, including those that promote equitable access to care for the nation's medically underserved populations. **Job Responsibilities** As a Data Scientist – RWE, you will be responsible for producing high-quality, actionable insights from real-world data to support biopharmaceutical companies and medical trials. Your key responsibilities will include: * Developing and executing advanced data analysis and statistical modeling techniques to identify new insights and trends in patient populations and treatment outcomes * Collaborating with cross-functional teams to design and execute studies, including data collection, analysis, and interpretation * Developing and maintaining data pipelines and infrastructure to support data analysis and visualization * Building and maintaining dashboards, analytics, and reports for internal and external stakeholders * Conducting due diligence on new real-world data companies and evaluating the quality of RWD to inform investment decisions * Ensuring high-quality, rigorous, and easily interpretable deliverables from RWE research and analyses **Essential Qualifications** * Bachelor's degree or graduate degree in a quantitative or computational field (e.g., statistics, mathematics, computer science, engineering) * Minimum 4 years of experience in a quantitative or computational role, with a strong background in data analysis, machine learning, and statistical modeling * Proficiency in R, Python, or SQL programming languages * Experience designing and executing strong and reproducible statistical analyses in the context of epidemiology and observational studies with healthcare data * Knowledge of common statistical testing methods, including generalized linear models, classification and discrimination, decision trees, unsupervised learning, time series analysis, and survival analysis * Experience processing large datasets from diverse data sources * Experience working with covered patient health data **Preferred Qualifications** * Ph.D. or Master's degree in a field related to data science, statistics, computer science, or mathematics * Expertise in EMR/Health IT, disease registries, and claims databases * Knowledge of medical data standards, clinical terminologies, and managed 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 research or clinical trials (e.g., ISO, MDD/MDR, CFR) * Experience working with alternative data sources and alternative methods of collecting medical data, particularly those enabled by technology systems and/or solutions * Experience with experimental design, Bayesian modeling, sequential data, and computational statistics * Understanding of data and systems learning techniques, ability to maintain self-learning of technical and non-technical skills **Career Growth Opportunities and Learning Benefits** As a Data Scientist – RWE at blithequark, you will have the opportunity to work on high-impact projects that drive business growth and improve patient outcomes. You will also have access to a range of learning and development opportunities, including: * Regular training and professional development programs to enhance your skills and knowledge * Opportunities to collaborate with cross-functional teams and work on diverse projects * Access to cutting-edge technologies and tools to support data analysis and visualization * A dynamic and supportive work environment that encourages innovation and creativity **Work Environment and Company Culture** blithequark is committed to creating a work environment that is inclusive, diverse, and supportive of our employees' well-being. We offer a range of benefits and perks, including: * Company-paid life insurance * Medical, prescription drugs, dental, and vision benefits * Retirement savings plan (401(k)) * Employee stock purchase plan * Paid time off (PTO) * Holidays * Paid parental leave (PPL) * Transportation benefit plan * Employee store discount * Voluntary life and personal accident insurance **Compensation and Benefits** We offer a competitive salary range of $26-35/hour, depending on experience and qualifications. In addition to a comprehensive benefits package, you will also have access to a range of perks and discounts, including: * Employee store discount * Transportation benefit plan * Paid time off (PTO) * Holidays * Paid parental leave (PPL) * Voluntary life and personal accident insurance **How to Apply** If you are a highly skilled data scientist with a passion for leveraging advanced analytics and technologies to drive business growth and improve patient outcomes, we invite you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for this role. We look forward to hearing from you! Apply for this job