Experienced Remote Data Scientist – Real-World Evidence and Clinical Trials Analysis at arenaflex

Introduction to arenaflex arenaflex is a leading organization in the healthcare industry, dedicated to improving patient outcomes and advancing medical research. With a strong focus on innovation and excellence, arenaflex is committed to providing high-quality products and services that make a meaningful difference in people's lives. As a remote data scientist at arenaflex, you will have the opportunity to work with a talented team of professionals who share your passion for data analysis and healthcare. Job Overview We are seeking an experienced remote data scientist to join our team at arenaflex. As a data scientist, you will be responsible for producing certifiable real-world evidence (RWE) through advanced analysis and innovative methodologies in the clinical trials space. You will be a vital part of our Scientific Projects group, working closely with cross-functional teams to drive business decisions and improve patient outcomes. Key Responsibilities Mine raw data sets to deliver normalized, analysis-ready patient datasets from in-house data resources or licensed platforms, analyze and interpret results, and help shape analysis methodology. Collaborate with other members of the arenaflex Clinical Trials team to deliver meaningful insights from real-world, clinical, and other data sources to support biopharmaceutical RWE and clinical trial requests. Clean, transform, and store data into an integrated data lake for future analysis and broader team use. Perform data mining and statistical analysis to analyze RWE/RWD and discover new insights regarding patient populations and treatment outcomes. Support the development of real-world data, analytics, and platform capabilities, applying advanced analytics and tools to resolve scientific questions from biopharmaceutical companies. Collaborate on the design and implementation of outcomes research studies. Ensure high-quality, comprehensive, and readily interpretable predictions from RWE studies and analyses. Build dashboards, analytics, and reports for internal and external use. Conduct a reasonable level of effort on new real-world data suppliers, vendors, and drive RWD quality evaluations to inform project decisions. Essential Qualifications Experience in designing and executing robust and reproducible statistical analyses with regard to epidemiology and observational research with healthcare data. Knowledge of common statistical testing methods, including generalized linear models, classification and regression, decision trees, unsupervised learning, time series analysis, and survival analysis. Experience handling large data from multiple data sources. Experience handling protected patient health information. Knowledge of at least one of the following: Tableau, Power Bi, Alteryx, Spotfire, or other BI intelligence tools. Preferred Qualifications Ph.D. or Master's degree in statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or a related field. Experience with EMR/Health IT, disease registries, and insurance claims databases. Knowledge of clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode). Experience with Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR). Experience working with alternative data sources and alternative methods for clinical data collection, particularly those enabled by technology platforms and/or solutions. Experience with experimental design, Bayesian modeling, sequential data, computational statistics. Understanding of statistical and machine learning techniques, ability to continue self-learning of technical and non-technical skills. Career Growth Opportunities and Learning Benefits At arenaflex, we are committed to helping our employees grow and develop in their careers. As a remote data scientist, you will have access to a range of training and development opportunities, including workshops, webinars, and online courses. You will also have the chance to work with a talented team of professionals who are passionate about data analysis and healthcare, and who are dedicated to sharing their knowledge and expertise with others. Work Environment and Company Culture arenaflex is a dynamic and innovative organization that values collaboration, creativity, and excellence. Our company culture is built on a foundation of respect, integrity, and open communication, and we are committed to creating a work environment that is inclusive, supportive, and stimulating. As a remote data scientist, you will be part of a virtual team that is connected by a shared passion for data analysis and healthcare, and that is dedicated to making a meaningful difference in people's lives. Compensation, Perks, and Benefits arenaflex offers a competitive compensation package, including a salary of $26 per hour, as well as a range of perks and benefits that are designed to support your well-being and career development. These may include health care benefits, prescription drug discounts, employee assistance programs, paid time off, retirement plans, employee discounts, and professional development opportunities. Conclusion If you are a motivated and experienced data scientist who is passionate about healthcare and data analysis, we encourage you to apply for this exciting opportunity at arenaflex. As a remote data scientist, you will have the chance to work with a talented team of professionals who share your passion for data analysis and healthcare, and who are dedicated to making a meaningful difference in people's lives. You will also have access to a range of training and development opportunities, as well as a competitive compensation package and a range of perks and benefits. Don't miss out on this opportunity to join a dynamic and innovative organization that is committed to excellence and to making a positive impact on the world. To apply for this job, please click here to register as a candidate and submit your application. Apply for this job