Experienced Information Researcher – Real World Evidence (RWE) Data Scientist | Clinical Research & Analytics
Posted 2026-05-06About arenaflex
Welcome to arenaflex, a forward-thinking organization at the intersection of healthcare innovation and data-driven decision making. We are committed to transforming the landscape of clinical research and real-world evidence generation through cutting-edge analytics, advanced data science methodologies, and collaborative partnerships with biopharmaceutical companies worldwide. Our mission is to harness the power of real-world data to uncover actionable insights that improve patient outcomes, inform healthcare policy, and accelerate the development of life-changing therapies.
At arenaflex, we believe that data holds the key to solving some of healthcare's most complex challenges. Our Clinical Data Science team plays a pivotal role in this mission, working diligently to extract meaningful patterns from vast datasets, generate robust real-world evidence, and provide strategic recommendations that shape the future of medical research. We foster a culture of curiosity, continuous learning, and scientific rigor, where every team member is empowered to push boundaries and contribute to groundbreaking discoveries.
As we continue to expand our capabilities in real-world evidence (RWE) and health analytics, we are seeking a talented and motivated Information Researcher to join our dynamic Scientific Issues team. This is an exceptional opportunity for a data professional who is passionate about leveraging analytics to influence both internal strategic decisions and external healthcare outcomes. If you thrive in a collaborative environment, enjoy tackling complex analytical challenges, and want to make a meaningful impact on the future of healthcare, we invite you to explore this opportunity with arenaflex.
Position Overview
We are looking for an experienced Information Researcher – Real World Evidence (RWE) who will be responsible for generating high-quality Real World Evidence through advanced research methodologies and innovative approaches in the clinical trials space. This role is an integral part of our Scientific Issues group and offers the unique opportunity to work at the forefront of healthcare data science.
The ideal candidate will have a genuine passion for influencing decision-making through the use of innovative data science and technology. In this position, you will conduct sophisticated data analysis to help address critical business questions and contribute to the development of evidence-based strategies that benefit patients, healthcare providers, and our pharmaceutical partners.
Key Responsibilities
- Data Mining and Preparation: Mine raw datasets to deliver normalized, analysis-ready patient cohorts from in-house data resources or licensed platforms, ensuring data quality and integrity for downstream analytical work.
- Analysis and Interpretation: Analyze and interpret complex results from real-world data sources, translating statistical findings into actionable insights that inform clinical and business strategies.
- Strategic Collaboration: Partner with members of the arenaflex Clinical Trial team to deliver meaningful insights from real-world, clinical, and diverse data sources to support biopharmaceutical RWE and clinical trial requests.
- Research Initiatives: Contribute to research initiatives including analysis of unmet medical needs, safety and efficacy of treatments in specific disease states, treatment patterns, healthcare economic burden, and cost-effectiveness modeling.
- Data Management: Clean, transform, and store data into a structured data lake architecture for future analysis and broader team utilization, ensuring accessibility and usability of data assets.
- Statistical Analysis: Perform data mining and advanced statistical analysis to analyze RWE/real-world data (RWD) to discover new insights regarding patient populations and treatment outcomes.
- Capability Development: Support the development of real-world data, analytics, and platform capabilities, applying advanced analytical tools and techniques to address scientific inquiries from biopharmaceutical organizations.
- Research Design: Collaborate on the design and execution of outcomes research studies, ensuring methodological rigor and statistical validity.
- Quality Assurance: Ensure high-quality, thorough, and readily interpretable outputs from RWE reviews and investigations, maintaining the highest standards of scientific integrity.
- Reporting and Visualization: Build dashboards, analyses, and comprehensive reports for both internal and external stakeholders, effectively communicating complex findings in accessible formats.
- Vendor Evaluation: Conduct due diligence on new real-world data providers and vendors, driving RWD quality assessments to inform investment decisions and partnership opportunities.
Essential Qualifications and Skills
- Statistical Expertise: Proven experience designing and executing robust and reproducible statistical investigations in the context of epidemiology and observational research with healthcare data.
- Statistical Techniques: Strong knowledge of common statistical testing methodologies including generalized linear models, classification and regression, decision trees, unsupervised learning, time series analysis, and survival analysis.
- Large Data Handling: Demonstrated experience processing large-scale datasets from multiple data sources, with the ability to manage, clean, and transform high-volume information effectively.
- Protected Health Information: Experience handling sensitive patient health information with strict adherence to privacy regulations and data protection standards.
- Business Intelligence Tools: Proficiency in at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other business intelligence and visualization platforms.
- Analytical Mindset: Strong problem-solving abilities and the capacity to approach complex questions with creative analytical solutions.
- Communication Skills: Excellent written and verbal communication skills, with the ability to present technical findings to both technical and non-technical audiences.
Preferred Qualifications
- Advanced Degree: PhD or Master's degree in statistics, biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or a related quantitative field.
- Healthcare Data Experience: Expertise in Electronic Medical Records (EMR), Health IT systems, disease registries, and insurance claims databases.
- Clinical Data Standards: Proficiency in clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD-9/10, ReadCode, SNOMED CT).
- Regulatory Knowledge: Experience with Good Clinical Practice (GCP) and regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO standards, Medical Device Directive/Regulation, CFR Title 21).
- Alternative Data Sources: Experience working with alternative data sources and innovative methods for clinical data collection, particularly those enabled by technology platforms and digital health solutions.
- Advanced Statistical Methods: Understanding of experimental design, Bayesian modeling, sequential analysis, and computational statistics.
- Machine Learning: Strong foundation in statistics and machine learning methodologies, with the ability to continuously self-learn both technical and non-technical skills.
Career Growth and Development
At arenaflex, we are invested in the professional development and career growth of our team members. As an Information Researcher in our RWE division, you will have access to numerous opportunities for advancement and skill enhancement:
- Professional Development: Continuous learning through internal training programs, conference attendance, and participation in industry forums.
- Career Pathways: Clear advancement trajectories toward senior analytical roles, team leadership positions, or specialized technical tracks.
- Cross-Functional Exposure: Opportunities to collaborate across departments and gain exposure to diverse aspects of healthcare data science.
- Innovation Projects: involvement in groundbreaking research initiatives and the freedom to explore novel analytical approaches.
- Mentorship: Access to experienced mentors and industry experts who will support your career journey.
Work Environment and Culture
arenaflex offers a dynamic, collaborative, and inclusive work environment where innovation thrives. Our team members enjoy:
- Flexible Work Arrangements: Hybrid and remote work options to support work-life balance and productivity.
- Collaborative Culture: A team-oriented atmosphere that values diverse perspectives and encourages open dialogue.
- Cutting-Edge Tools: Access to state-of-the-art analytical platforms, software, and technologies.
- Inclusive Environment: A commitment to diversity, equity, and inclusion in all aspects of our operations.
- Employee Wellness: Comprehensive wellness programs and resources to support physical and mental health.
Compensation and Benefits
arenaflex is proud to offer a competitive compensation package that recognizes the expertise and contributions of our team members:
- Salary Range: $20-30 per hour, commensurate with experience and qualifications.
- Health Benefits: Comprehensive health, dental, and vision insurance coverage.
- Retirement Plans: 401(k) retirement savings plan with company contributions.
- Paid Time Off: Generous paid time off policies including vacation, sick leave, and holidays.
- Additional Perks: Professional development reimbursement, employee assistance programs, and various workplace perks.
Location
This position is based in North Carolina, USA, with flexible hybrid or remote work arrangements available. We welcome candidates who are located in the greater North Carolina area and are able to collaborate effectively with our team.
Join Our Team
Are you ready to make a meaningful impact in healthcare through the power of data? At arenaflex, you will be part of a team that is transforming the way real-world evidence is generated and utilized to improve patient outcomes and advance medical science.
We are seeking a candidate who is passionate about data-driven healthcare, thrives in a collaborative environment, and is committed to excellence in scientific research. If you have the skills and experience to excel in this role, we encourage you to apply and become part of our mission to revolutionize healthcare through innovative analytics.
Take the next step in your career and join arenaflex – where data meets discovery, and your contributions truly matter.