**Experienced Full Stack Data Scientist – Real-World Evidence (RWE) Research and Analysis @arenaflex**

At arenaflex, we're on a mission to revolutionize the way we approach healthcare and medical research. As a leading innovator in the industry, we're committed to harnessing the power of data science to drive meaningful insights and improve patient outcomes. We're now seeking an experienced Full Stack Data Scientist to join our team and contribute to our groundbreaking work in Real-World Evidence (RWE) research and analysis. **About arenaflex** arenaflex is a pioneering organization that's dedicated to pushing the boundaries of what's possible in healthcare and medical research. With a strong focus on innovation and collaboration, we're bringing together the brightest minds from across the industry to tackle some of the toughest challenges in healthcare. Our team is passionate about using data science to drive real-world impact, and we're excited to welcome a talented Full Stack Data Scientist to our ranks. **Job Summary** As a Full Stack Data Scientist on our RWE research and analysis team, you'll play a critical role in designing and executing cutting-edge research studies that leverage real-world evidence to inform clinical trials and biopharmaceutical research. You'll work closely with our team of experts to develop and implement advanced data analysis techniques, and collaborate with stakeholders across the industry to drive meaningful insights and recommendations. **Key Responsibilities** * Mine crude information collections to convey normalized, examination prepared patient accomplices from in-house information resources or authorized stages, break down and decipher results, and help shape investigation procedure. * Accomplices with different individuals from the arenaflex Clinical Preliminary colleagues to convey significant experiences from genuine world, clinical and different information sources to help biopharmaceutical RWE and clinical preliminary solicitations. * Cleans, changes and stores information into a coordinated information lake for future investigation and more extensive group utilization. * Performs information mining and factual examination to dissect RWE/RWD to find new experiences in regards to patient populaces and treatment results. * Upholds the improvement of genuine information, examination and stage abilities, applying progressed investigation and apparatuses to resolve logical inquiries from biopharmaceutical organizations. * Works together on plan and execution of results research studies. * Guarantees superior grade, thorough and promptly interpretable expectations from RWE review and examinations. * Assembles dashboards, investigation and reports for interior and outer utilization. * Conducts an expected level of effort on new true information suppliers merchants and drive RWD quality evaluations to illuminate venture choices. **Essential Capabilities** * 2 years of involvement with R, Python, or SQL. * Experience in planning and executing powerful and reproducible measurable examinations with regards to the study of disease transmission and observational exploration with medical care information. * Information on normal measurable testing strategies including summed up direct models, arrangement and separation, choice trees, solo learning, time series investigation and endurance examination. * Experience handling enormous information from different information sources. * Experience taking care of safeguarded patient wellbeing data. * Information on something like one of the accompanying: Scene, Power Bi, Alteryx, Spotfire, or other BI insight devices. **Favored Capabilities** * Mastery in EMR/Wellbeing IT, sickness libraries, and protection claims data sets. * Aptitude in clinical information principles, clinical phrasings and controlled vocabularies utilized in medical care information and ontologies (ICD9/10/ReadCode). * Experience in Great Clinical Practice (GCP) and additionally administrative consistence rules for genuine proof examinations or clinical preliminaries (e.g., ISO, MDD/MDR, CFR). * Experience dealing with elective information sources and elective techniques for clinical information assortment, particularly those empowered by innovation stages and additionally arrangements. * Experience with trial plan, Bayesian demonstrating, consecutive information, computational insights. * Comprehension of insights and AI strategies, capacity to proceed with self-learning of specialized and non-specialized abilities. **What We Offer** * Competitive salary of $27/hour. * Opportunity to work on cutting-edge projects that are driving real-world impact in healthcare and medical research. * Collaborative and dynamic work environment with a team of passionate and talented professionals. * Comprehensive benefits package, including health insurance, retirement plan, and paid time off. * Professional development opportunities, including training and education programs, to help you grow and advance in your career. * Flexible work arrangements, including remote work options, to support your work-life balance. **How to Apply** If you're a motivated and talented Full Stack Data Scientist who is passionate about using data science to drive real-world impact in healthcare and medical research, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you're the ideal candidate for this role. We can't wait to hear from you! Apply for this job