Experienced Data Scientist – Real-World Evidence (RWE) Research Specialist

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Join arenaflex as an Information Researcher – Real-World Evidence

Are you passionate about transforming healthcare through data-driven insights? Are you excited about the opportunity to influence critical business decisions using cutting-edge analytics and innovative methodologies? arenaflex is looking for a talented and motivated Data Scientist – Real-World Evidence (RWE) Research Specialist to join our dynamic Clinical Data Science team in Orlando, Florida.

At arenaflex, we believe that data has the power to revolutionize patient care and shape the future of healthcare. As part of our Logical Undertakings team, you will play a pivotal role in generating credible real-world evidence that drives meaningful outcomes for patients, healthcare providers, and biopharmaceutical partners. This is a unique opportunity to leverage your analytical expertise while contributing to groundbreaking research that makes a real difference in people's lives.

About arenaflex

arenaflex is a well-known American healthcare and pharmaceutical company that has been serving communities since its founding in 1901. With a rich history spanning over a century, we have grown to become one of the most trusted names in the healthcare industry, offering a wide range of products and services including prescription medications, over-the-counter drugs, health and wellness products, beauty solutions, and more. Our commitment to innovation, customer service, and community wellness has made us a leader in the industry, and we continue to expand our capabilities through advanced technology and data-driven approaches.

Our Clinical Data Science division is at the forefront of transforming raw healthcare data into actionable insights. We partner with biopharmaceutical companies, academic researchers, and healthcare providers to deliver high-quality real-world evidence that informs clinical development, treatment strategies, and healthcare policy decisions. By joining our team, you will become part of a forward-thinking organization that values innovation, collaboration, and excellence in all that we do.

Position Overview

As an Information Researcher – Real-World Evidence (RWE) at arenaflex, you will be responsible for producing credible real-world evidence through advanced research and innovative methodologies in the clinical trials space. You will be a vital member of our Logical Undertakings group, working alongside cross-functional teams to deliver insights that shape the future of healthcare.

This role offers the chance to impact both internal and external decision-making through the use of innovative data science and technology. You will conduct sophisticated data analysis to help address critical business questions, working closely with clinical trial teams, biopharmaceutical partners, and internal stakeholders to translate complex data into clear, actionable recommendations.

Key Responsibilities

• Data Mining and Preparation: Mine raw datasets to deliver normalized, analysis-ready patient companions from in-house data resources or licensed platforms. Analyze and interpret results while contributing to the development of overall analysis strategy.
• Cross-Functional Collaboration: Partner with members of the Clinical Trial team to deliver meaningful insights from real-world, clinical, and other data sources to support biopharmaceutical RWE and clinical trial requests. Potential projects include analysis of unmet needs, safety and efficacy of treatments in specific disease states, treatment patterns and healthcare economic burden, and cost-effectiveness modeling.
• Data Integration and Management: Clean, transform, and store data into an integrated data lake for future analysis and broader team usage. Ensure data quality, consistency, and accessibility across the organization.
• Statistical Analysis and Insights: Perform data mining and statistical analysis to analyze RWE/RWD and discover new insights regarding patient populations and treatment outcomes. Apply advanced statistical techniques to uncover patterns and trends that inform clinical and business decisions.
• Capability Development: Support the development of real-world data, analytics, and platform capabilities. Apply advanced analytics and tools to address scientific inquiries from biopharmaceutical organizations and drive innovation in our analytical approaches.
• Research Study Execution: Collaborate on the design and execution of outcomes research studies, ensuring methodological rigor and scientific validity in all research activities.
• Quality Assurance: Ensure high-quality, rigorous, and readily interpretable outputs from RWE reviews and investigations. Maintain high standards of accuracy and reproducibility in all analytical work.
• Reporting and Visualization: Build dashboards, analyses, and reports for both internal and external use. Effectively communicate complex findings to technical and non-technical audiences.
• Vendor Assessment: Conduct due diligence on new real-world data providers and vendors. Drive RWD quality assessments to inform investment decisions and partnership opportunities.

Essential Qualifications

• Statistical Analysis Expertise: Experience in designing and executing robust and reproducible statistical analyses in the context of epidemiology and observational research with healthcare data.
• Statistical Techniques Proficiency: Knowledge of common statistical testing techniques including generalized linear models, clustering and segmentation, decision trees, unsupervised learning, time series analysis, and survival analysis.
• Big Data Experience: Experience handling large datasets from various data sources. Ability to work with complex, multi-dimensional data structures and extract meaningful insights from massive volumes of information.
• Healthcare Data Privacy: Experience handling protected patient health information (PHI) with the highest level of confidentiality and in compliance with HIPAA regulations and other relevant privacy requirements.
• Business Intelligence Tools: Knowledge of at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other BI/visualization tools. Ability to create compelling data visualizations that drive decision-making.

Preferred Qualifications

• Advanced Degree: PhD or Master's degree in statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or a related field.
• Healthcare Data Systems: Proficiency in EMR/Health IT, disease registries, and insurance claims databases. Familiarity with electronic health record systems and healthcare data ecosystems.
• Clinical Data Standards: Expertise in clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD-9/10, Read Code, SNOMED CT).
• Regulatory Compliance: Experience in Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO standards, MDD/MDR, CFR Title 21).
• Innovative Data Collection: Experience working with alternative data sources and alternative methods for clinical data collection, especially those enabled by technology platforms and/or solutions (wearables, patient apps, remote monitoring).
• Advanced Statistical Methods: Experience with experimental design, Bayesian modeling, sequential analysis, and computational statistics.
• Continuous Learning: Strong understanding of statistics and machine learning methods, with the ability to continuously self-learn both technical and non-technical skills in this rapidly evolving field.

Skills and Competencies

• Strong analytical and problem-solving skills with attention to detail


• Excellent written and verbal communication skills


• Ability to translate complex technical findings into clear, actionable insights


• Strong collaboration and teamwork abilities


• Self-motivated with the ability to work independently and manage multiple projects


• Proficiency in programming languages such as Python, R, or SAS


• Experience with SQL and database management


• Knowledge of machine learning algorithms and their applications in healthcare

Work Environment and Culture

At arenaflex, we pride ourselves on fostering a collaborative, inclusive, and innovative work environment. We believe that diverse perspectives drive creativity and better outcomes. Our employees are our greatest asset, and we are committed to providing the resources, support, and opportunities you need to succeed.

As part of our team, you will have access to state-of-the-art tools and technologies, opportunities for professional development, and the chance to work on meaningful projects that impact patient care. We value work-life balance and offer flexible scheduling options to meet the diverse needs of our employees.

Compensation and Benefits

arenaflex offers a competitive compensation package that reflects your skills, experience, and contributions to our organization. The position offers a salary of $26 per hour with full-time employment (8 hours per day). In addition to competitive pay, arenaflex provides a comprehensive benefits package that may include:

• Health Care Benefits: Comprehensive medical, dental, and vision insurance coverage for eligible employees and their families.
• Prescription Drug Discounts: As a healthcare company, arenaflex employees receive discounts on prescription medications and over-the-counter drugs.
• Paid Time Off: Generous paid time off for holidays, vacations, and sick days, with amounts varying based on job title and seniority.
• Retirement Plans: 401(k) retirement savings plans with employer matching contributions to help you save for the future.
• Employee Discounts: Discounts on products and services sold at arenaflex stores, including over-the-counter medications and wellness products.
• Professional Development: Opportunities for ongoing training, skills development, and career advancement within the organization.
• Wellness Programs: Comprehensive wellness programs designed to promote employee health, including fitness challenges, health screenings, and wellness resources.
• Employee Assistance Program (EAP): Confidential counseling and support services for employees and their families to help with work and personal challenges.
• Flexible Scheduling: Depending on your specific job role, flexible scheduling options may be available to meet different employee needs.

Career Growth Opportunities

arenaflex is committed to the professional growth and development of our employees. As a Data Scientist – RWE Specialist, you will have access to numerous opportunities for career advancement, including:

• Leadership roles within the Clinical Data Science organization


• Specialization in advanced analytics areas such as machine learning and artificial intelligence


• Exposure to a wide range of therapeutic areas and clinical research projects


• Collaboration with external partners including biopharmaceutical companies, academic institutions, and regulatory agencies


• Continuous learning through internal training programs, conferences, and certifications

Join Our Team

If you are passionate about leveraging data to improve healthcare outcomes and want to be part of a team that values innovation, collaboration, and excellence, we invite you to apply for this exciting opportunity at arenaflex. This is your chance to make a meaningful impact while growing your career in one of the most dynamic fields in healthcare.

We are looking for candidates who are enthusiastic about working in a fast-paced, collaborative environment and who are committed to delivering high-quality work that advances our mission of helping people live healthier lives. If you have the skills and experience we're looking for, we encourage you to apply and become part of the arenaflex family.

Ready to make an impact? Apply now and join the arenaflex team today!