Senior Real‑World Evidence (RWE) Data Analyst – Remote Clinical Insights & Research – arenaflex

About arenaflex – Pioneering Innovation in Healthcare Data

arenaflex is a global leader in the transformation of health‑care through data‑driven insights. With a mission to improve patient outcomes and accelerate therapeutic discovery, arenaflex leverages cutting‑edge analytics, real‑world evidence (RWE), and a collaborative culture that empowers every employee to make a meaningful impact. Our remote teams span the United States and beyond, bringing together diverse expertise in clinical research, data science, and regulatory affairs. As a member of the arenaflex family, you will join a forward‑thinking organization that values curiosity, integrity, and continuous learning.

Position Overview – Information Researcher (RWE) – Remote

arenaflex is seeking a highly motivated Information Researcher – Real‑World Evidence (RWE) to lead the creation of authentic, actionable evidence through innovative data analysis and scientific methodology. Reporting directly to the Chief of Clinical Information Science, you will be a pivotal member of the Clinical Research team, driving data‑centric solutions that answer critical business questions for pharmaceutical partners and internal stakeholders.

Key Responsibilities

• Data Extraction & Normalization: Mine raw data collections from internal sources and licensed platforms, transform and standardize patient‑level data, and prepare it for downstream analysis.
• Collaborative Knowledge Transfer: Partner with arenaflex Clinical Research scientists to translate real‑world data (RWD) into meaningful insights that support drug development, health‑economic assessments, and market access strategies.
• Data Lake Management: Clean, curate, and store data in a structured data lake, ensuring accessibility for future investigations and cross‑functional use.
• Statistical & Quantitative Analysis: Conduct rigorous statistical analyses—including descriptive modeling, regression, classification trees, machine learning, time‑series analysis, and survival analysis—to uncover new insights about patient populations and treatment outcomes.
• Methodology Development: Uphold best‑in‑class data, analysis, and reporting standards by applying advanced research methods and tools to solve scientific questions posed by pharmaceutical clients.
• Study Design & Execution: Contribute to the planning and implementation of outcomes research studies, ensuring alignment with regulatory and scientific standards.
• Quality Assurance: Deliver high‑quality, reproducible, and timely deliverables, including dashboards, analytical reports, and visualizations for internal and external audiences.
• Vendor & Data Source Evaluation: Conduct effort estimations for new real‑world data sources, perform data quality assessments, and provide recommendations that inform strategic decisions.

Essential Qualifications

• Bachelor’s degree in a quantitative discipline (e.g., Statistics, Biostatistics, Computer Science, Mathematics, Epidemiology, or related field).
• Demonstrated experience designing and executing robust, reproducible statistical analyses focused on disease epidemiology and observational research using health‑care data.
• Strong knowledge of standard statistical techniques, including regression models, clustering, decision trees, machine learning, time‑series, and survival analysis.
• Hands‑on experience handling large, multi‑source datasets and ensuring data integrity and privacy compliance.
• Proficiency with at least one business intelligence or data‑visualization tool such as Tableau, Power BI, Alteryx, Spotfire, or similar platforms.
• Experience working with protected health information (PHI) and adhering to HIPAA and other data‑privacy regulations.

Preferred Qualifications

• Advanced degree (Ph.D. or Master’s) in Biostatistics, Data Science, Biomedical Engineering, or a related quantitative field.
• Expertise in electronic medical records (EMR) systems, health‑IT, disease registries, and claims data.
• Familiarity with clinical terminology, controlled vocabularies, and ontologies (e.g., ICD‑9/10, SNOMED CT, Read Codes).
• Knowledge of Good Clinical Practice (GCP) and regulatory compliance frameworks for real‑world evidence studies (e.g., ISO, MDD/MDR, CFR).
• Experience designing data collection strategies for emerging data sources, including wearable devices, digital health platforms, and cloud‑based repositories.
• Proficiency in advanced analytical approaches such as Bayesian modeling, causal inference, longitudinal data analysis, and AI‑driven predictive modeling.
• Ability to self‑direct learning in emerging technologies and methodologies, demonstrating a growth mindset.

Core Skills & Competencies

• Analytical Rigor: Ability to translate complex clinical questions into structured analytical plans and deliver actionable insights.
• Technical Proficiency: Strong command of statistical software (e.g., R, SAS, Python) and data‑wrangling tools.
• Communication Excellence: Clear articulation of findings to both technical and non‑technical audiences, including senior leadership and external partners.
• Collaboration & Teamwork: Proven track record of working effectively across multidisciplinary teams, fostering a culture of shared knowledge.
• Attention to Detail: Commitment to data quality, reproducibility, and rigorous documentation.
• Problem‑Solving Orientation: Proactive identification of analytical challenges and innovative solutions.
• Ethical Stewardship: Upholding the highest standards of data privacy, security, and ethical research conduct.

Career Growth & Learning Opportunities

arenaflex invests heavily in the professional development of its employees. As an Information Researcher, you will have access to:

• Mentorship from senior data scientists and clinical research leaders.
• Sponsored certifications in data analytics, machine learning, and regulatory affairs.
• Opportunities to present research at industry conferences and publish in peer‑reviewed journals.
• Cross‑functional project rotations that broaden exposure to drug development, health‑economics, and market access.
• Continuous learning platforms offering courses on emerging technologies such as cloud analytics, AI, and advanced visualization.

Compensation, Perks & Benefits

arenaflex offers a competitive hourly rate ranging from $20–$30 per hour**, commensurate with experience and expertise. In addition to base compensation, you will enjoy a comprehensive benefits package that includes: