Remote – arenaflex Data Entry & Real-World Evidence Research Scientist (Healthcare Analytics) – $26/Hour

Transform Healthcare Through Data: Join arenaflex as a Real-World Evidence Research Scientist

In today's rapidly evolving healthcare landscape, data is the cornerstone of innovation. At arenaflex, we are committed to harnessing the power of real-world evidence (RWE) and real-world data (RWD) to drive meaningful improvements in patient outcomes, treatment strategies, and clinical research. We are seeking a passionate and analytically driven Information Researcher - RWE to join our dynamic Scientific Endeavors team. This is more than a data entry role—it's an opportunity to shape the future of healthcare analytics from the comfort of your home, while earning a competitive hourly rate of $26/hour.

The Information Researcher will play a pivotal role in producing Certifiable Evidence (RWE) through advanced examination methodologies, creative analytical techniques, and innovative approaches within the clinical trials space. As a vital member of our Scientific Undertakings group, you will leverage cutting-edge data science and technology to influence both internal and external decision-making processes. This position reports directly to the Chief, Clinical Information Science, and offers an exceptional opportunity to conduct sophisticated data analysis that addresses critical business questions and contributes to groundbreaking healthcare research.

About arenaflex and Our Mission

arenaflex is a forward-thinking organization at the intersection of healthcare, technology, and data science. We partner with biopharmaceutical companies, research institutions, and healthcare providers to unlock insights hidden within complex datasets. Our work spans across clinical trials, real-world evidence generation, epidemiological research, and outcomes analysis. By joining arenaflex, you become part of a mission-driven team that values intellectual curiosity, analytical rigor, and the relentless pursuit of knowledge that can transform patient care globally.

We believe in empowering our team members with the flexibility of remote work, the resources to grow professionally, and the opportunity to work on projects that make a tangible difference in the world. Our collaborative environment fosters innovation, encourages continuous learning, and celebrates diverse perspectives.

Key Responsibilities

As an Information Researcher at arenaflex, your day-to-day responsibilities will be both challenging and rewarding. You will:

• Mine and Transform Raw Datasets: Extract, clean, and process raw data to deliver standardized, analysis-ready patient cohorts from in-house data resources or licensed platforms. Analyze and interpret results while helping shape overall research strategy.
• Collaborate with Clinical Trial Teams: Partner with various members of the arenaflex Clinical Preliminary colleagues to deliver actionable insights from real-world, clinical, and other data sources supporting biopharmaceutical RWE and clinical trial initiatives. Potential projects include analysis of unmet medical needs, safety and effectiveness of treatments for specific disease states, treatment patterns, healthcare economic burden, and cost-effectiveness modeling.
• Build Integrated Data Infrastructure: Clean, transform, and store data into a unified data lake for future analysis and broader team utilization, ensuring accessibility and quality across the organization.
• Conduct Advanced Statistical Analysis: Perform data mining and statistical analysis on RWE/RWD to discover new insights regarding patient populations and treatment outcomes that can inform clinical and commercial strategies.
• Develop Analytical Platforms: Support the development of real-world data, analytics, and platform capabilities by applying advanced analytical methods and tools to address scientific questions from biopharmaceutical partners.
• Design and Execute Outcomes Research: Collaborate on the design and implementation of outcomes research studies that meet the highest scientific standards and regulatory requirements.
• Ensure Quality and Accuracy: Guarantee high-quality, comprehensive, and readily interpretable deliverables from RWE studies and analyses that can withstand rigorous scientific scrutiny.
• Build Visualization and Reporting Tools: Construct dashboards, analytics solutions, and comprehensive reports for both internal stakeholders and external client consumption.
• Vet Data Sources and Partners: Conduct thorough due diligence on new real-world data providers and vendors, driving RWD quality assessments to inform strategic partnership and procurement decisions.

Essential Qualifications

To excel in this role, candidates must demonstrate:

• Educational Foundation: A Bachelor's degree in a relevant field such as statistics, biostatistics, computer science, mathematics, epidemiology, systems engineering, biomedical engineering, or a related discipline.
• Statistical Analysis Experience: Hands-on experience in designing and executing robust, reproducible statistical analyses within the context of epidemiology and observational research using healthcare data.
• Statistical Methods Knowledge: Proficiency in common statistical testing methods including generalized linear models, classification and segmentation techniques, decision trees, unsupervised learning approaches, time series analysis, and survival analysis.
• Big Data Handling: Demonstrated experience processing large datasets from multiple, disparate data sources and integrating them into cohesive analytical frameworks.
• Data Privacy Expertise: Experience handling protected patient health information (PHI) with a thorough understanding of privacy regulations and best practices.
• BI Tool Proficiency: Knowledge of at least one of the following business intelligence tools: Tableau, Power BI, Alteryx, Spotfire, or comparable platforms.

Preferred Qualifications

Candidates who stand out will bring:

• Advanced Degree: A PhD or Master's degree in statistics, biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or a closely related field.
• Healthcare Data Expertise: Proficiency in working with Electronic Medical Records (EMR), Health Information Technology systems, disease registries, and insurance claims databases.
• Clinical Data Standards Knowledge: Mastery of clinical data standards, medical terminologies, and controlled vocabularies used in healthcare data and ontologies, including ICD-9, ICD-10, Read Code, and related classification systems.
• Regulatory and Compliance Experience: Experience with Good Clinical Practice (GCP) and regulatory compliance guidelines for real-world evidence studies or clinical trials, including familiarity with ISO, MDD/MDR, CFR, and other relevant frameworks.
• Alternative Data Sources: Experience working with alternative data sources and innovative methods for clinical data collection, particularly those enabled by emerging technology platforms and digital health solutions.
• Advanced Modeling Techniques: Experience with exploratory data analysis, Bayesian modeling, sequential data analysis, and computational statistics.
• Machine Learning Acumen: Strong understanding of statistical and machine learning techniques, with the demonstrated ability to continue self-directed learning of both technical and non-technical skills.

Skills and Competencies for Success

Beyond technical qualifications, the ideal candidate will possess:

• Analytical Thinking: The ability to break down complex problems, identify patterns, and derive meaningful insights from large and varied datasets.
• Communication Skills: Excellent written and verbal communication abilities to translate technical findings into clear, actionable insights for non-technical stakeholders.
• Collaboration Mindset: A team-oriented approach with the ability to work effectively across functional groups, including clinical, commercial, and technical teams.
• Attention to Detail: Meticulous attention to data quality, accuracy, and methodological rigor in all analytical work.
• Project Management: Strong organizational skills with the ability to manage multiple projects simultaneously and deliver results within established timelines.
• Intellectual Curiosity: A passion for continuous learning and staying current with emerging trends in data science, healthcare analytics, and clinical research.

Career Growth and Learning Opportunities

At arenaflex, we invest in our people. As an Information Researcher, you will have access to:

• Professional development programs including conference attendance, certification support, and continuing education opportunities.
• Mentorship from senior data scientists and clinical research experts who are leaders in the field.
• Cross-functional project exposure that broadens your understanding of clinical research, biopharmaceutical partnerships, and healthcare economics.
• A clear career progression pathway from individual contributor roles to team leadership and strategic positions.
• Access to cutting-edge tools, technologies, and datasets that will sharpen your analytical capabilities and enhance your professional portfolio.

Work Environment and Company Culture at arenaflex

arenaflex is more than a workplace—it's a community of innovators, scientists, and healthcare advocates united by a common purpose. Our culture is built on:

• Remote-First Flexibility: Work from anywhere in the United States with flexible hours that support work-life balance. Our remote infrastructure ensures seamless collaboration and productivity.
• Collaborative Spirit: We foster an environment where ideas are welcomed, diverse perspectives are celebrated, and teamwork drives success.
• Innovation and Impact: Every project at arenaflex has the potential to influence patient care, shape treatment guidelines, and contribute to scientific knowledge.
• Inclusive Workplace: We are committed to building a diverse team that reflects the communities we serve and the patients whose lives we aim to improve.
• Work-Life Integration: With full-time employment at 8 hours per day, we respect your time and encourage sustainable productivity.

Compensation, Perks, and Benefits

We offer a comprehensive compensation and benefits package designed to attract and retain top talent:

• Competitive Pay: $26/hour with regular performance reviews and opportunities for merit-based increases.
• Full-Time Employment: Stable, full-time position with consistent hours and predictable schedule.
• Health and Wellness Benefits: Comprehensive medical, dental, and vision insurance options for you and your dependents.
• Retirement Planning: 401(k) or equivalent retirement savings plan with potential company matching contributions.
• Paid Time Off: Generous vacation, sick leave, and holiday policies to support your well-being.
• Professional Development Stipend: Financial support for certifications, courses, and conferences relevant to your role.
• Home Office Setup: Stipend or reimbursement for essential home office equipment and ergonomic needs.
• Flexible Work Arrangements: Flexibility to structure your workday around peak productivity hours while meeting team collaboration needs.

Location and Employment Details

This remote position is based out of Orlando, USA, with full-time employment at 8 hours per day. While remote work is supported, occasional virtual team meetings and collaboration sessions may require flexible scheduling.

How to Apply

If you are ready to leverage your analytical expertise to make a meaningful impact in healthcare research, we invite you to apply. This is your opportunity to join a team that values your skills, supports your growth, and empowers you to contribute to work that truly matters.

At arenaflex, we are not just processing data—we are transforming lives. Every dataset you analyze, every insight you uncover, and every report you deliver contributes to a larger mission: improving patient outcomes, advancing medical knowledge, and shaping the future of healthcare. If you are a data professional with a passion for healthcare, a commitment to scientific excellence, and the skills to turn complex information into actionable intelligence, we want to hear from you.

Take the next step in your career. Apply today and become part of the arenaflex team. Your expertise can help us unlock the full potential of real-world evidence and drive innovations that benefit patients worldwide. We look forward to reviewing your application and welcoming you to our growing community of healthcare data scientists and research professionals.