Remote Real-World Evidence Data Scientist – Healthcare Analytics & Clinical Insights Specialist at arenaflex

About arenaflex and the Opportunity

arenaflex is a forward-thinking organization at the intersection of healthcare, technology, and advanced analytics. As a leader in evidence-based research and clinical innovation, arenaflex partners with biopharmaceutical companies, research institutions, and healthcare providers to transform complex medical data into actionable insights that improve patient outcomes worldwide. The company cultivates a culture of curiosity, scientific rigor, and collaboration, where talented professionals can apply their analytical expertise to some of the most pressing challenges in modern medicine.

arenaflex is now hiring a talented Remote Real-World Evidence (RWE) Data Scientist to join its Scientific Affairs team. This is a fully remote position, offering the flexibility to work from anywhere in the United States while contributing to groundbreaking research that shapes the future of healthcare delivery, treatment evaluation, and clinical trial design. If you are passionate about leveraging data science to drive meaningful change in patients' lives, this opportunity at arenaflex is designed for you.

Position Summary

The Real-World Evidence Data Scientist at arenaflex will be responsible for producing high-quality, scientifically rigorous real-world evidence using advanced analytical techniques, statistical modeling, and innovative methodologies within the clinical trials and healthcare research domain. Reporting to the Director of Clinical Data Science, this individual will play a pivotal role in supporting internal and external decision-making by harnessing the power of data science, machine learning, and modern technology platforms.

In this role, you will design and execute sophisticated data analyses that help answer critical business and clinical questions, develop reproducible research workflows, and translate complex findings into clear, interpretable insights for diverse stakeholders, including biopharmaceutical partners, clinical teams, and senior leadership at arenaflex.

Key Responsibilities

• Mine raw datasets from in-house data assets and licensed platforms to deliver standardized, analysis-ready patient cohorts, interpret results accurately, and help shape the overall research and analytics strategy at arenaflex.
• Collaborate closely with cross-functional members of the arenaflex Clinical Trials team to deliver actionable insights derived from real-world data (RWD), clinical datasets, and other healthcare data sources supporting biopharmaceutical RWE and clinical trial initiatives.
• Conduct analyses that include but are not limited to evaluation of unmet medical needs, safety and effectiveness of treatments within specific disease states, treatment patterns, healthcare economic burden, and cost-effectiveness modeling.
• Clean, transform, and store data into an integrated data lake to support future analysis and broader organizational use across the arenaflex analytics ecosystem.
• Perform data mining and statistical analysis on RWE/RWD to uncover novel insights regarding patient populations, treatment outcomes, and disease progression.
• Support the development of real-world data, analytics, and platform capabilities by applying advanced analytical methods and modern tools to address scientific questions from biopharmaceutical clients and internal stakeholders.
• Collaborate on the design and execution of outcomes research studies, ensuring scientific integrity, methodological soundness, and relevance of findings.
• Guarantee the delivery of high-quality, thorough, and easily interpretable deliverables from RWE studies and analyses, including dashboards, written reports, and presentations.
• Build interactive dashboards, analytical tools, and automated reports for both internal teams at arenaflex and external partner consumption.
• Conduct due diligence on new real-world data providers and vendors, and lead RWD quality assessments to inform strategic procurement and partnership decisions.

Essential Qualifications

• Bachelor's degree in Data Science, Statistics, Biostatistics, Computer Science, Mathematics, Epidemiology, Biomedical Engineering, or a related quantitative field.
• Demonstrated experience in designing and executing robust, reproducible statistical analyses within the context of epidemiology and observational research using healthcare data.
• Solid understanding of common statistical testing methods, including generalized linear models, classification and regression, decision trees, unsupervised learning techniques, time series analysis, and survival analysis.
• Hands-on experience processing large datasets from multiple disparate data sources.
• Experience working with protected patient health information (PHI) in a compliant and ethical manner.
• Working knowledge of at least one of the following business intelligence and data visualization tools: Tableau, Power BI, Alteryx, Spotfire, or comparable BI platforms.
• Strong programming skills in SQL, Python, R, or similar languages commonly used in data science workflows.
• Excellent communication skills with the ability to translate complex technical findings into clear, accessible insights for non-technical audiences.

Preferred Qualifications

• PhD or Master's degree in Statistics, Biostatistics, Computer Science, Mathematics, Systems Engineering, Biomedical Engineering, or a closely related discipline.
• Proficiency in working with electronic medical records (EMR), Health IT systems, disease registries, and insurance claims databases.
• Deep familiarity with clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data, including ontologies such as ICD-9, ICD-10, and Read Code.
• Experience with Good Clinical Practice (GCP) and regulatory compliance guidelines governing real-world evidence studies or clinical trials, including ISO, MDD/MDR, and CFR frameworks.
• Background in working with alternative data sources and innovative methods for clinical data collection, particularly those enabled by emerging technology platforms and digital health solutions.
• Experience with experimental design, Bayesian modeling, sequential data analysis, and computational statistics.
• Strong understanding of machine learning techniques, with a demonstrated commitment to ongoing self-learning of both technical and non-technical skills.

Core Skills and Competencies

• Analytical Thinking: Ability to break down complex problems, identify patterns, and develop data-driven solutions that align with business and scientific objectives.
• Technical Proficiency: Deep expertise in statistical programming, data wrangling, and visualization tools commonly used in healthcare analytics.
• Attention to Detail: A meticulous approach to data quality, methodology, and reproducibility of analytical outputs.
• Collaboration: A team-oriented mindset with the ability to work effectively across functional boundaries and contribute to a culture of shared success at arenaflex.
• Communication: Strong written and verbal communication skills, with the ability to present findings to executive leadership, scientific teams, and external partners.
• Curiosity and Innovation: A passion for exploring new methods, tools, and data sources to push the boundaries of what real-world evidence can deliver.
• Adaptability: Comfort working in a fast-paced, evolving environment where priorities can shift and new challenges arise regularly.

Career Growth and Learning Opportunities at arenaflex

arenaflex believes that the growth of its people is the growth of the company. As a member of the Scientific Affairs team, you will have access to a wealth of professional development resources, including sponsored continuing education, conference attendance, internal mentorship programs, and structured career pathways into senior scientific, technical, and leadership roles. The remote-first nature of this position means you can design a work environment that supports deep focus and personal well-being while staying connected to a global community of scientists, analysts, and healthcare innovators. Whether your ambition is to become a recognized subject matter expert in real-world evidence, lead a cross-functional analytics team, or transition into a strategic leadership role, arenaflex will invest in your journey.

Work Environment and Company Culture

At arenaflex, you will join a diverse, inclusive, and intellectually curious team that values scientific excellence, integrity, and impact. The company fosters a remote-friendly culture built on trust, transparency, and accountability. Employees enjoy flexible working hours that accommodate different time zones and personal schedules, regular virtual team-building events, and a collaborative environment where every voice is heard. arenaflex is committed to diversity, equity, and inclusion, recognizing that the best insights emerge when teams reflect a wide range of perspectives and lived experiences. You will be empowered to take ownership of your work, propose bold ideas, and see them through to measurable outcomes that matter.

Compensation, Perks, and Benefits

arenaflex offers a competitive compensation package designed to attract and retain top talent in the field of real-world evidence and data science. The hourly rate for this position is $26 per hour, with the potential for performance-based bonuses and regular compensation reviews. In addition to base pay, full-time employees of arenaflex enjoy a comprehensive benefits package that may include:

• Comprehensive medical, dental, and vision insurance plans
• Generous paid time off, including vacation days, sick leave, and company holidays
• 401(k) retirement savings plan with company match
• Flexible work hours and fully remote work arrangements
• Annual professional development budget for certifications, courses, and conferences
• Wellness programs and mental health support resources
• Home office setup stipend for remote employees
• Employee assistance programs and family-friendly benefits

(Specific benefits may vary based on location and employment classification. Full details will be provided during the interview process.)

Work Schedule and Location

This is a full-time, remote position based in the United States, with preferred proximity to Orlando, Florida, for occasional on-site collaboration and team events. The standard work schedule is 8 hours per day, Monday through Friday, with flexibility to accommodate project deadlines and cross-time-zone collaboration as needed.

How to Apply

If you are a driven, analytical, and innovative data scientist with a passion for transforming healthcare through real-world evidence, arenaflex wants to hear from you. This is your opportunity to make a tangible impact on patient lives while advancing your career in one of the most dynamic and meaningful fields of data science. Submit your updated resume and a cover letter outlining your relevant experience and motivation for joining arenaflex through our official careers portal today. The arenaflex talent acquisition team will review applications on a rolling basis, and qualified candidates will be contacted for initial interviews within ten business days of submission.

Join arenaflex and help shape the future of evidence-based healthcare. Your expertise, curiosity, and dedication can drive the discoveries that change lives around the world. We look forward to welcoming you to the team.