Experienced Data Scientist – Real World Evidence (RWE) Research & Clinical Data Analytics Specialist

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About arenaflex

Welcome to arenaflex, a leading innovator in healthcare data science and real-world evidence (RWE) solutions. At arenaflex, we are transforming the landscape of clinical research and healthcare analytics by harnessing the power of big data to drive meaningful insights that improve patient outcomes and advance medical science. As part of our Strategic Initiatives team, you will have the opportunity to work at the intersection of cutting-edge technology and life-changing healthcare research.

Our organization is committed to leveraging advanced data science methodologies to address some of the most critical questions in modern medicine. We collaborate with biopharmaceutical companies, healthcare providers, and research institutions to generate robust real-world evidence that informs treatment decisions, supports regulatory submissions, and ultimately helps bring innovative therapies to patients who need them most.

Join our dynamic team of data scientists, epidemiologists, and clinical research professionals who share a common goal: to revolutionize healthcare through data-driven discovery. At arenaflex, we value innovation, collaboration, and the relentless pursuit of scientific excellence.

Position Overview

We are seeking a talented and motivated Data Scientist – Real World Evidence (RWE) Research Specialist to join our Clinical Data Science team. In this pivotal role, you will be responsible for generating high-quality real-world evidence through advanced research methodologies and innovative approaches in the clinical trials space. You will serve as a vital member of our Strategic Initiatives group, working to impact decision-making both internally and externally through the use of creative data science and technology.

This position offers an exciting opportunity to conduct sophisticated data analysis that addresses critical business questions while contributing to meaningful advancements in healthcare. You will report directly to the Chief of Clinical Data Science and collaborate with cross-functional teams to deliver actionable insights from real-world, clinical, and other data sources.

Key Responsibilities

• Data Mining and Preparation: Mine raw datasets to deliver normalized, analysis-ready patient cohorts from in-house data resources or licensed platforms, analyze and interpret results, and help shape comprehensive analysis strategies.


• Cross-Functional Collaboration: Partner with various members of the arenaflex 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, safe and effective treatments in specific disease states, treatment patterns, and healthcare economic burden and cost-effectiveness modeling.


• Data Management: Clean, transform, and store data into an integrated data lake for future analysis and broader team utilization, ensuring data integrity and accessibility.


• Statistical Analysis: Perform data mining and statistical analysis to analyze RWE/RWD to discover new insights regarding patient populations and treatment outcomes, utilizing advanced statistical methodologies.


• Capability Development: Support the development of real-world data, analytics, and platform capabilities, applying advanced analytics and tools to address scientific inquiries from biopharmaceutical organizations.


• Research Study Execution: Collaborate on the design and execution of outcomes research studies, ensuring methodological rigor and scientific validity.


• Quality Assurance: Ensure high-quality, rigorous, and readily interpretable outputs from RWE reviews and investigations, maintaining the highest standards of scientific excellence.


• Reporting and Visualization: Build dashboards, analyses, and reports for both internal and external use, effectively communicating complex findings to diverse stakeholders.


• Vendor Assessment: Conduct due diligence on new real-world data providers and vendors, driving RWD quality assessments to inform project decisions and ensure data reliability.

Essential Qualifications

• Statistical Expertise: Experience in designing and executing robust and reproducible statistical analyses in the context of epidemiology and observational research with healthcare data. Strong foundation in study design, statistical methodology, and research best practices.


• Statistical Techniques: Knowledge of common statistical testing techniques including generalized linear models, clustering and classification, decision trees, unsupervised learning, time series analysis, and survival analysis. Proficiency in applying these methods to real-world healthcare datasets.


• Large-Scale Data Handling: Experience processing large data from multiple data sources, with the ability to manage, clean, and transform high-volume datasets efficiently.


• Data Privacy Compliance: Experience handling protected patient health information (PHI) with strict adherence to HIPAA regulations and other privacy requirements.


• Business Intelligence Tools: Knowledge of at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other BI and insight tools for data visualization and reporting.


• Educational Background: Bachelor's degree in a relevant field such as statistics, biostatistics, data science, epidemiology, or equivalent practical experience.

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 Expertise: Proficiency in EMR/Health IT systems, disease registries, and insurance claims databases, with understanding of the unique characteristics and analytical considerations of each data source.


• Clinical Data Standards: Expertise in clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies, including ICD-9/10 and ReadCode.


• Regulatory Knowledge: Experience in Good Clinical Practice (GCP) as well as regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR).


• 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.


• Advanced Statistical Methods: Experience with experimental design, Bayesian modeling, sequential data, and computational statistics.


• Machine Learning: Understanding of statistics and machine learning methods, with the ability to continuously self-learn both technical and non-technical skills.

Skills and Competencies Required for Success

• Analytical Thinking: Strong analytical skills with the ability to approach complex problems methodically and develop innovative solutions.


• Technical Proficiency: Advanced proficiency in programming languages such as Python, R, or SAS for statistical analysis and data manipulation.


• Database Knowledge: Familiarity with SQL and database management systems, as well as cloud-based data platforms.


• Communication Skills: Excellent written and verbal communication skills, with the ability to translate complex technical findings into clear, actionable insights for non-technical stakeholders.


• Attention to Detail: Meticulous attention to detail with a commitment to producing high-quality, accurate work.


• Team Collaboration: Strong interpersonal skills and the ability to work effectively in cross-functional teams.


• Time Management: Excellent organizational and time management skills with the ability to manage multiple projects simultaneously.


• Problem-Solving: Creative problem-solving abilities and a proactive approach to overcoming challenges.

Career Growth Opportunities and Learning Benefits

At arenaflex, we are deeply invested in the professional development and career growth of our team members. As a Data Scientist in our RWE division, you will have access to numerous opportunities for advancement and skill development:

• Career Advancement: This role serves as a gateway to senior-level positions within our data science organization, including Lead Data Scientist, Principal Scientist, and management opportunities.


• Continuous Learning: We support ongoing education through access to professional development courses, conferences, and certifications in emerging areas of data science and healthcare analytics.


• Industry Exposure: Work on diverse projects across multiple therapeutic areas, gaining invaluable experience with different data sources and research methodologies.


• Mentorship Programs: Benefit from mentorship relationships with senior scientists and industry experts who will guide your professional journey.


• Technical Training: Access to cutting-edge tools and technologies, with comprehensive training on our internal platforms and industry-standard software.


• Research Opportunities: Possibility to contribute to peer-reviewed publications and present findings at national and international conferences.

Work Environment and Company Culture

At arenaflex, we foster a collaborative, inclusive, and innovation-driven work environment that values diverse perspectives and encourages creative problem-solving. Our culture is built on the foundation of scientific integrity, teamwork, and a shared commitment to improving healthcare outcomes through data-driven insights.

We believe in maintaining a healthy work-life balance and offer flexible work arrangements to support your well-being. Our team members enjoy a supportive atmosphere where their contributions are recognized and valued. We regularly host team-building events, knowledge-sharing sessions, and social activities that promote camaraderie and professional growth.

As part of our commitment to innovation, we encourage experimentation and new ideas. You'll have the opportunity to propose and lead initiatives that can shape the future of our RWE capabilities. At arenaflex, your voice matters, and your contributions have a direct impact on our success and the advancement of healthcare science.

Compensation, Perks, and Benefits

We recognize that our people are our most valuable asset, and we are committed to providing competitive compensation and comprehensive benefits that support your physical, financial, and emotional well-being.

• Competitive Salary: Attractive compensation package commensurate with experience and qualifications.


• Health and Wellness: Comprehensive medical, dental, and vision insurance plans to support your health needs.


• Financial Security: 401(k) retirement plan with employer matching to help you save for the future.


• Paid Time Off: Generous paid time off for holidays, vacation, and personal days to recharge and maintain work-life balance.


• Professional Development: Professional development budget for courses, certifications, and conference attendance.


• Employee Assistance Program: Confidential counseling and support services for you and your family.


• Employee Discounts: Discounts on products and services, including prescription medications and wellness products.


• Wellness Programs: Access to wellness programs designed to promote employee health, including fitness challenges and health screenings.


• Flexible Scheduling: Flexible work arrangements to meet your individual needs and support productivity.

Join Our Team

If you are passionate about leveraging data science to transform healthcare and improve patient outcomes, we invite you to apply for this exciting opportunity at arenaflex. We are looking for individuals who thrive in a collaborative environment, are excited by complex challenges, and are committed to scientific excellence.

At arenaflex, you will be part of a team that is making a real difference in the world of healthcare. Your work will contribute to groundbreaking research that informs treatment decisions, supports regulatory approvals, and ultimately helps patients access better therapies. We offer a supportive environment where your skills will be honed, your career will flourish, and your contributions will matter.

Don't miss this opportunity to join a leader in real-world evidence research and advance your career in data science. Apply today and become part of the arenaflex family!

arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.