Experienced Real-World Evidence Data Scientist – Healthcare Analytics, Clinical Trials & Biopharmaceutical Insights Specialist

About arenaflex

arenaflex stands at the forefront of healthcare innovation, where data meets purpose. As a leader in clinical research and biopharmaceutical partnerships, arenaflex is committed to transforming how real-world evidence (RWE) shapes patient care, drug development, and clinical trial design. Our Scientific Affairs team operates at the intersection of advanced analytics, epidemiology, and medical science, working with some of the most influential biopharmaceutical companies in the world. At arenaflex, we believe that every data point tells a story about human health, and every analytical insight has the potential to save lives, accelerate treatment discovery, and improve outcomes for patient populations around the globe.

Joining arenaflex means becoming part of a mission-driven organization that blends cutting-edge data science with deep clinical expertise. Our team thrives on intellectual curiosity, collaborative problem-solving, and the relentless pursuit of evidence that drives meaningful change. We are a fully remote-friendly organization that values flexibility, autonomy, and outcomes, while fostering a culture of inclusion, continuous learning, and professional excellence. If you are a data scientist who is passionate about healthcare, eager to apply advanced statistical methods to real-world challenges, and excited to influence decision-making at the highest levels, arenaflex is the place where your work will have extraordinary impact.

Position Overview

We are seeking a talented and motivated Real-World Evidence (RWE) Data Scientist to join our Scientific Issues team at arenaflex. This full-time, remote-eligible role is based in North Carolina, USA, and reports directly to the Director of Clinical Data Science. The successful candidate will play an instrumental role in generating rigorous real-world evidence through advanced analytics and innovative methodologies within the clinical trials and biopharmaceutical research space. You will be responsible for designing and executing sophisticated analyses that inform both internal strategy and external partnerships with biopharmaceutical sponsors, healthcare providers, and research institutions.

As an RWE Data Scientist at arenaflex, you will harness vast, complex healthcare datasets to uncover insights that drive smarter clinical trial design, enable evidence-based decision-making, and ultimately improve patient outcomes. You will work with protected health information (PHI), insurance claims, electronic medical records (EMR), and other licensed data assets to deliver standardized, analysis-ready patient cohorts, build predictive models, and craft compelling narratives from data. This is not a typical data entry or virtual assistant position — it is a high-impact, intellectually rigorous role for someone who wants to leverage data science as a force for good in healthcare.

Key Responsibilities

• Data Mining and Cohort Generation: Mine raw data sources to deliver standardized, analysis-ready patient cohorts from in-house data assets or licensed platforms. Analyze, interpret, and communicate results while helping shape the broader analytical strategy of the Scientific Issues team at arenaflex.
• Cross-Functional Partnership: Collaborate closely with members of the arenaflex Clinical Trials team to extract meaningful insights from real-world data, clinical data, and other healthcare information sources. Support biopharmaceutical RWE initiatives and clinical trial requests by analyzing unmet medical needs, evaluating safe and effective treatments in specific disease states, examining treatment patterns, assessing healthcare economic burden, and developing cost-effectiveness models.
• Data Architecture and Curation: Clean, transform, and structure data into organized data lakes for future analysis and broader team utilization. Ensure that all data assets are accurately cataloged, version-controlled, and accessible to authorized team members across arenaflex.
• Advanced Statistical Analysis: Perform sophisticated data mining and statistical analyses on RWE and real-world data (RWD) to discover new insights regarding patient populations, treatment outcomes, disease progression, and care delivery patterns.
• Platform and Capability Development: Support the development of real-world data, analytics, and platform capabilities by applying advanced analytics and modern tools to address scientific questions from biopharmaceutical clients. Help arenaflex stay ahead of the curve in an evolving evidence landscape.
• Outcomes Research Design: Collaborate on the design and execution of outcomes research studies, including protocol development, endpoint selection, and statistical analysis plans.
• Quality Assurance: Ensure the delivery of high-quality, rigorous, and readily interpretable deliverables from RWE studies and analyses. Maintain a culture of analytical excellence and reproducibility at arenaflex.
• Visualization and Reporting: Build interactive dashboards, analytical tools, and comprehensive reports for both internal stakeholders and external partners. Translate complex findings into clear, actionable insights.
• Vendor and Data Provider Evaluation: Conduct due diligence on new real-world data providers and vendors, and drive RWD quality assessments to inform investment decisions and partnership strategies at arenaflex.

Essential Qualifications

• Bachelor's degree in a quantitative or scientific discipline such as statistics, biostatistics, computer science, mathematics, systems engineering, biomedical engineering, epidemiology, or a related field.
• Experience in designing and executing robust, reproducible statistical analyses within the context of epidemiology and observational research using healthcare data.
• Strong knowledge of common statistical testing methods, including generalized linear models, classification and regression, decision trees, unsupervised learning techniques, time series analysis, and survival analysis.
• Demonstrated experience processing large datasets from multiple, disparate data sources.
• Experience handling protected patient health information (PHI) in compliance with HIPAA and other regulatory standards.
• Proficiency in at least one of the following business intelligence or analytics tools: Tableau, Power BI, Alteryx, Spotfire, or comparable platforms.

Preferred Qualifications

• PhD or Master's degree in statistics, biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or a closely related field.
• Expertise in electronic medical records (EMR), health information technology (Health IT), disease registries, and insurance claims databases.
• Deep familiarity with clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies, including ICD-9, ICD-10, Read Code, SNOMED CT, and related frameworks.
• Experience working under Good Clinical Practice (GCP) guidelines and regulatory compliance standards for real-world evidence analyses or clinical trials, including familiarity with ISO, MDD/MDR, and CFR requirements.
• Experience working with alternative data sources and novel methods of clinical data collection, particularly those enabled by technology platforms and connected health devices.
• Experience with experimental design, Bayesian modeling, sequential data analysis, and computational statistics.
• Strong understanding of machine learning techniques and the ability to pursue self-directed learning of both technical and non-technical skills to stay current with emerging methodologies.

Skills and Competencies for Success

To excel as a Real-World Evidence Data Scientist at arenaflex, you will need a blend of technical, analytical, and interpersonal skills. You should be highly proficient in programming languages commonly used in data science such as Python, R, or SAS, and comfortable working in cloud-based or hybrid computing environments. Strong SQL skills and experience with relational databases are essential. Beyond technical capabilities, you must possess exceptional critical thinking skills, the ability to translate ambiguous business questions into structured analytical approaches, and outstanding written and verbal communication skills to convey complex findings to non-technical audiences. You should be a self-starter who thrives in a remote work environment, demonstrates strong project management capabilities, and is comfortable managing multiple priorities in a fast-paced, deadline-driven setting. Intellectual humility, attention to detail, and an unwavering commitment to data integrity are non-negotiable.

Career Growth and Learning Opportunities

At arenaflex, we are deeply invested in the professional development of our team members. As an RWE Data Scientist, you will have access to a generous continuing education budget, opportunities to attend leading industry conferences such as ISPOR, DIA, and AMIA, and dedicated time each quarter for personal skill development. We offer a clear career progression framework that allows you to grow from a contributing individual contributor into senior scientific, technical, or leadership roles. Many of our data scientists have transitioned into principal scientist positions, team leadership, or strategic consulting roles within arenaflex. You will work alongside some of the most respected minds in real-world evidence and clinical research, building a network and reputation that will serve you throughout your career. We also partner with academic institutions to support employees pursuing advanced degrees and certifications in biostatistics, epidemiology, and data science.

Work Environment and Company Culture

arenaflex is a remote-first organization that trusts our team members to deliver exceptional results from wherever they work best. We cultivate a culture of transparency, mutual respect, and shared purpose, where every team member understands how their work contributes to our mission. Our leadership team is approachable, accessible, and committed to removing barriers that stand in the way of great work. We celebrate diversity in all its forms and are proud to be an equal opportunity employer. Regular virtual team-building events, annual in-person retreats, and robust employee resource groups help foster genuine connection across our distributed workforce. At arenaflex, your voice matters, your ideas are heard, and your contributions are recognized.

Compensation, Perks, and Benefits

arenaflex offers a competitive compensation package designed to attract and retain top talent. For this position, the hourly pay range is $20 to $30, commensurate with experience, education, and demonstrated skills. Full-time employees enjoy a comprehensive benefits package that includes:

• Medical, dental, and vision insurance with premium coverage options
• Generous paid time off, including vacation, sick leave, and company holidays
• 401(k) retirement plan with company matching contributions
• Life insurance, short-term disability, and long-term disability coverage
• Flexible spending accounts for healthcare and dependent care expenses
• Wellness reimbursement program covering gym memberships, mental health services, and fitness equipment
• Home office stipend to support your remote work setup
• Annual professional development allowance for conferences, courses, and certifications
• Parental leave policies that support growing families
• Employee assistance program offering confidential counseling and support services

How to Apply

If you are ready to bring your data science expertise to a role where it truly matters, arenaflex wants to hear from you. This is more than a job — it is an opportunity to shape the future of real-world evidence and contribute to groundbreaking research that improves the lives of patients worldwide. We review applications on a rolling basis and encourage qualified candidates to apply promptly. Please submit your resume, a cover letter detailing your relevant experience and motivation for joining arenaflex, and any portfolio materials that showcase your analytical work. Join arenaflex, and become part of a team that is redefining what is possible in healthcare data science.