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

At arenaflex, we're on a mission to revolutionize the way we approach healthcare and medical research. As a leading player in the industry, we're committed to creating more happy lives through better health. We're now seeking an experienced Full Stack Data Scientist to join our team and contribute to the production of Real-World Evidence (RWE) via superior analytics and progressive processes. **Job Responsibilities:** As a Data Scientist at arenaflex, you'll 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: * Providing standardized, evaluation-ready patient cohorts from in-house data properties or certified systems, examining and interpreting results, and assisting in the development of analytics strategy * Partnering with other members of the arenaflex Clinical Trial group 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 evaluation and broader group consumption * Performing data mining and statistical analysis to investigate RWE/RWD to uncover 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 **About arenaflex:** arenaflex is a leading healthcare, pharmacy, and retail company with a 170-year history of caring for communities. We're proud to be a community health destination serving almost 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. To meet the needs of our customers and patients, we provide a real omnichannel experience, with fully integrated physical and virtual systems supported by state-of-the-art technology to deliver high-quality services and products in communities nationwide. **Basic 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 with 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?** At arenaflex, we're committed to creating a culture that values innovation, collaboration, and growth. We offer a dynamic and supportive work environment that encourages our employees to learn, grow, and thrive. Our benefits package is designed to support your physical, emotional, and financial well-being, and our commitment to diversity and inclusion ensures that everyone feels welcome and valued. If you're a motivated and experienced data scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. Join our team and contribute to the production of high-quality, actionable insights that will help us create more happy lives through better health. **Apply Now:** To apply for this position, please visit our website at [insert link]. We can't wait to hear from you! Apply for this job