**Experienced Full Stack Data Scientist – Real-World Evidence (RWE) and Analytics Expert – arenaflex**

**Job Summary:** arenaflex is seeking an experienced and highly skilled Full Stack Data Scientist to join our Scientific Affairs team. As a Data Scientist – RWE, you will play a crucial role in producing Real-World Evidence (RWE) through superior analytics and progressive processes within the medical trials space. You will be responsible for designing and executing strong and reproducible statistical analyses, collaborating with cross-functional teams, and developing actionable insights from real-world, medical, and other data assets to support biopharmaceutical RWE and medical trial requests. **About arenaflex:** arenaflex 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 almost 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, we are 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: * Providing standardized, analysis-ready patient cohorts from in-house data properties or certified systems, examining and interpreting results, and assisting in developing analytics strategy * Partnering with other members of the arenaflex Clinical Trial team to provide actionable insights from real-world, medical, and other data assets to support biopharmaceutical RWE and medical trial requests * Cleaning, transforming, and storing data into an integrated data lake for future analysis and broader team consumption * Performing data mining and statistical analysis to investigate RWE/RWD to identify new insights concerning patient populations and treatment results * Supporting the development of real-world data, analytics, and platform capabilities, applying advanced analytics and tools to address medical questions from biopharmaceutical companies * Collaborating on the design and execution of results reports research * Ensuring high-quality, rigorous, and easily interpretable deliverables from RWE research and analyses * Building dashboards, analytics, and reports for internal and external consumption * Conducting due diligence on new real-world data companies and performing RWD quality tests to inform investment decisions **Essential Qualifications:** * Bachelor's degree or graduate degree and a minimum of four years of experience in a quantitative or computational function * Four years of experience in R, Python, or SQL * Experience in designing and executing strong and reproducible statistical analyses within 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 data from diverse data sources * Experience handling protected patient health data * Knowledge of at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other business intelligence tools **Preferred Qualifications:** * Ph.D., Master's degree in statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or related field * Expertise in EMR/Health IT, disease registries, and claims databases * Expertise in clinical 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 on alternative data sources and alternative methods of healthcare 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 **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 & Personal Accident Insurance **Why Join arenaflex?** * Opportunity to work with a leading healthcare, pharmacy, and retail company with a 170-year history of caring for communities * Collaborative and dynamic work environment with a team of experienced professionals * Comprehensive benefits package, including company-paid life insurance, medical, prescription drugs, dental, and vision * Opportunities for career growth and professional development * Flexible work arrangements, including remote work options **How to Apply:** If you are a motivated and experienced data scientist looking for a new challenge, please submit your application, including your resume and cover letter, to [insert contact information]. We look forward to hearing from you! Apply for this job