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

Are you a data-driven professional with a passion for advancing healthcare through innovative analytics and insights? Do you thrive in a collaborative environment where you can leverage your expertise to drive business decisions and improve patient outcomes? 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) and supporting the development of cutting-edge analytics and platform capabilities. **About blithequark and Our Mission** blithequark is a leading healthcare, pharmacy, and retail company with a 170-year history of caring for communities. Our mission is to create more joyful lives through better health. With over 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, we serve 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 RWE and medical trial requests. Your key responsibilities will include: * Developing and executing advanced data analysis and statistical modeling to investigate RWE/RWD and identify new insights about patient populations and treatment outcomes * Collaborating with cross-functional teams to design and execute results research studies and ensure high-quality, interpretable deliverables * Building dashboards, analytics, and reports for internal and external consumption * Conducting due diligence on new real-world data companies and performing RWD quality assessments to inform investment decisions * Partnering with other members of the Walgreens Clinical Trial group to provide actionable insights from real-world, medical, and other data assets * Supporting the development of real-world data, analytics, and platform capabilities using advanced analytics and tools **Essential Qualifications** * Bachelor's degree or graduate degree in a quantitative or computational field (e.g., computer science, mathematics, statistics, biostatistics) * Minimum 4 years of experience in a quantitative or computational role, with a strong focus on data analysis 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 such as statistics, biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or a related field * 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 medical data collection, particularly those enabled by technology systems and/or solutions * Experience with experimental design, Bayesian modeling, sequential data, 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** At blithequark, we believe in investing in our employees' growth and development. As a Data Scientist – RWE, you will have opportunities to: * Collaborate with cross-functional teams to drive business decisions and improve patient outcomes * Develop and apply advanced analytics and statistical modeling techniques to real-world data * Stay up-to-date with the latest industry trends and technologies through ongoing training and professional development * Contribute to the development of cutting-edge analytics and platform capabilities * Participate in mentorship programs and knowledge-sharing initiatives to support your growth and development **Work Environment and Company Culture** Our work environment is collaborative, dynamic, and fast-paced, with a focus on innovation and continuous improvement. We value diversity, equity, and inclusion, and strive to create a workplace culture that is welcoming and inclusive for all employees. Our company culture is built on the following values: * **Caring**: We care about our customers, patients, and employees, and strive to make a positive impact on their lives. * **Innovation**: We are committed to innovation and continuous improvement, and encourage our employees to think creatively and challenge the status quo. * **Collaboration**: We believe in the power of collaboration and teamwork, and strive to build strong relationships with our colleagues, customers, and partners. * **Integrity**: We operate with integrity and transparency, and are committed to doing the right thing, even when it's difficult. **Compensation, Perks, and Benefits** We offer a competitive compensation package, including: * **Salary**: $26-35/hour * **Benefits**: Company-paid life insurance, medical, prescription drugs, dental, and vision; 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 **How to Apply** If you are a motivated and talented data scientist with a passion for advancing healthcare through innovative analytics and insights, 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! Apply for this job