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**Experienced Full Stack Data Scientist – Real-World Evidence and Clinical Trials Development @arenaflex**

Remote, USA Full-time Posted 2025-11-24
**Job Summary:** At arenaflex, we are seeking an experienced Full Stack Data Scientist to join our Clinical Trials Development team. As a key member of our team, you will be responsible for creating genuine proof (RWE) through cutting-edge research and innovative methodologies in the clinical trials space. You will lead refined data analysis to help address critical business questions, and your expertise will be essential in shaping the investigation process. If you are passionate about leveraging creative data science and technology to drive business outcomes, we encourage you to apply for this exciting opportunity. **About arenaflex:** arenaflex is a leading American pharmaceutical retailer and company, founded in 1901 in Chicago, Illinois. With a rich history of innovation and growth, we have become one of the largest drug store chains in the United States. Our mission is to provide a wide range of products and services, including prescription drugs, over-the-counter drugs, health and wellness products, beauty products, photo shoots, and more. At arenaflex, we are committed to delivering exceptional customer experiences and making a positive impact on our communities. **Key Responsibilities:** As a Full Stack Data Scientist at arenaflex, you will be responsible for: * Mining crude information collections to convey normalized, analysis-ready patient partners from in-house information resources or authorized stages, breaking down and deciphering results, and helping shape investigation procedure. * Collaborating with other members of the arenaflex Clinical Trials Development team to convey significant experiences from genuine world, clinical, and other information sources to help biopharmaceutical RWE and clinical trials solicitations. * Cleaning, changing, and storing information into a coordinated information lake for future investigation and more extensive group utilization. * Performing information mining and factual examination to dissect RWE/RWD to find new experiences in regards to patient populaces and treatment results. * Upholding the improvement of genuine information, examination, and stage abilities, applying progressed investigation and apparatuses to resolve logical inquiries from biopharmaceutical organizations. * Working together on plan and execution of results research studies. * Guaranteeing superior grade, thorough, and promptly interpretable expectations from RWE review and examinations. * Assembling dashboards, investigation, and reports for interior and outer utilization. * Conducting 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. **About Working at arenaflex:** At arenaflex, we offer a dynamic and supportive work environment that fosters growth and development. Our team is passionate about delivering exceptional customer experiences and making a positive impact on our communities. We are committed to providing a range of benefits to our employees, including: * Health care benefits: arenaflex generally offers health care benefits such as medical, dental, and vision insurance to eligible employees. * Prescription drug discounts: because of its focus on pharmaceutical services, arenaflex employees can receive discounts on prescription drugs and over-the-counter drugs when filling prescriptions at arenaflex pharmacies. * Employee assistance program (EAP): many companies, including arenaflex, offer EAPs that provide confidential counseling and support services to employees and their families. * Paid time off: arenaflex generally provides paid time off for holidays, vacations, and sick days. * Retirement plans: arenaflex typically offers retirement savings plans, such as 401(K) plans, to help employees save for retirement. * Employee discounts: employees often receive discounts on products and services sold in arenaflex stores. * Professional development: arenaflex may offer opportunities for professional development and advancement within the company. * Wellness programs: because of its focus on health and wellness, arenaflex may offer wellness programs designed to promote employee health. * Flexible scheduling: depending on your specific job role, arenaflex may offer flexible scheduling options to meet different employee needs. **How to Apply:** If you are a motivated and experienced data scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We look forward to hearing from you! Apply Job! Apply for this job    

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