Remote Data Scientist – Real World Evidence & Healthcare Analytics Specialist (RWE) | $26/Hour

Join arenaflex as a Remote Data Scientist – Real World Evidence & Healthcare Analytics

Are you a passionate data scientist with a strong background in healthcare analytics, biostatistics, and real-world evidence (RWE)? arenaflex is seeking a highly motivated and analytically rigorous Remote Data Scientist to join our Scientific Affairs team. This is a unique opportunity to leverage your expertise in advanced data science, statistical modeling, and clinical research to drive meaningful insights that shape the future of healthcare decision-making. If you thrive in a collaborative, innovation-driven environment and are excited by the prospect of turning complex datasets into actionable intelligence, arenaflex wants to hear from you.

At arenaflex, we are committed to pushing the boundaries of what data can reveal about patient populations, treatment outcomes, and healthcare economics. Our work supports biopharmaceutical partners, clinical research teams, and internal stakeholders who depend on rigorous, reproducible, and forward-thinking analyses. As a fully remote position with a competitive hourly rate of $26/hour, this role offers the flexibility to work from anywhere in the United States while contributing to high-impact projects that improve lives.

About the Role

The Information Researcher – Real World Evidence (RWE) will be responsible for producing Certifiable Evidence through cutting-edge analysis and innovative methodologies within the clinical trials space. As a vital member of the Scientific Affairs team at arenaflex, you will play a central role in shaping how internal and external stakeholders make data-informed decisions. You will lead sophisticated analyses to address critical business questions, partner with cross-functional teams, and contribute to the development of next-generation analytics platforms. This position reports directly to the Director of Clinical Data Science at arenaflex.

Key Responsibilities

• Data Mining & Preparation: Mine raw datasets to deliver standardized, analysis-ready patient cohorts from in-house data assets or licensed platforms, analyze and interpret results, and help shape overall analytics strategy at arenaflex.
• Cross-Functional Partnership: Collaborate with various members of the arenaflex Clinical Trials team to deliver actionable insights from real-world, clinical, and other data sources supporting biopharmaceutical RWE and clinical trial requests. Potential projects include analysis of unmet needs, safety and efficacy of treatments in specific disease states, treatment patterns, healthcare economic burden, and cost-effectiveness modeling.
• Data Engineering & Integration: Clean, transform, and store data into an integrated data lake for future analysis and broader team utilization across arenaflex.
• Statistical Analysis: Perform data mining and statistical analysis to evaluate RWE/RWD, uncovering new insights regarding patient populations and treatment outcomes.
• Platform Development: Support the development of real-world data, analytics, and platform capabilities, applying advanced analytics and tools to address scientific questions from biopharmaceutical partners.
• Research Collaboration: Collaborate on the design and execution of outcomes research studies.
• Quality Assurance: Ensure high-quality, rigorous, and readily interpretable deliverables from RWE studies and analyses.
• Visualization & Reporting: Build dashboards, analytics, and reports for both internal and external use at arenaflex.
• Vendor Evaluation: Conduct due diligence on new real-world data providers and vendors, driving RWD quality assessments to inform project decisions.

Essential Qualifications

• Bachelor's degree in Statistics, Biostatistics, Computer Science, Mathematics, Systems Engineering, Biomedical Engineering, or a related quantitative field.
• Experience 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, time series analysis, and survival analysis.
• Hands-on experience processing large datasets from multiple data sources.
• Experience handling protected patient health information (PHI) in a compliant manner.
• Proficiency in at least one of the following BI 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 related field.
• Expertise in EMR/Health IT systems, disease registries, and insurance claims databases.
• Proficiency in clinical data standards, medical terminologies, and controlled vocabularies used in healthcare data, including ontologies such as ICD-9, ICD-10, and ReadCode.
• Experience with Good Clinical Practice (GCP) and regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR).
• Experience working with alternative data sources and innovative methods for clinical data collection, particularly those enabled by technology platforms and digital health solutions.
• Experience with exploratory study design, Bayesian modeling, sequential data analysis, and computational statistics.
• Solid understanding of advanced statistics and machine learning techniques, with a demonstrated commitment to continuous self-learning of both technical and non-technical skills.

Core Skills & Competencies

• Analytical Thinking: Ability to dissect complex problems, identify patterns, and generate evidence-based insights.
• Technical Proficiency: Strong command of statistical programming, data wrangling, and machine learning methodologies.
• Communication: Excellent written and verbal communication skills, with the ability to translate technical findings into clear, actionable narratives for diverse audiences.
• Collaboration: A team player who thrives in cross-functional environments and values diverse perspectives.
• Curiosity & Innovation: A self-starter who is eager to explore new methodologies, tools, and datasets.
• Attention to Detail: Commitment to producing rigorous, reproducible, and high-quality analyses.
• Time Management: Ability to manage multiple projects simultaneously in a fast-paced, remote work environment.

Career Growth & Learning Opportunities at arenaflex

At arenaflex, we believe that our people are our greatest asset. We are deeply invested in the professional development of every team member. As a Data Scientist at arenaflex, you will have access to:

• Mentorship from senior leaders in clinical data science and biostatistics.
• Opportunities to attend industry conferences, workshops, and continuing education programs.
• A clear career progression pathway, with potential to grow into senior data scientist, principal scientist, or leadership roles within arenaflex.
• The chance to publish research, contribute to whitepapers, and represent arenaflex at external industry events.
• Cross-functional project exposure, allowing you to expand your skills beyond pure analytics into project management, client engagement, and strategic planning.

Work Environment & Company Culture

arenaflex fosters a remote-first culture built on trust, transparency, and collaboration. Our team members enjoy the freedom to work from home while staying deeply connected through regular virtual team meetings, collaborative tools, and annual in-person gatherings. We celebrate diversity, equity, and inclusion, and we are committed to creating an environment where every voice is heard and valued. At arenaflex, you'll find a supportive community of like-minded professionals who are passionate about using data to improve healthcare outcomes around the world.

Compensation, Perks & Benefits

• Competitive Hourly Pay: $26/hour with consistent, reliable pay cycles.
• Full-Time Employment: Steady 8-hour workdays with predictable scheduling.
• Remote Flexibility: Work from anywhere within the United States, with no daily commute required.
• Comprehensive Benefits Package: Health, dental, and vision insurance options (eligibility details provided upon offer).
• Paid Time Off: Generous PTO and holiday allowance to support work-life balance.
• Professional Development Stipend: Funding available for certifications, courses, and conferences relevant to your role at arenaflex.
• Retirement Savings Plan: 401(k) plan with company match (where applicable).
• Wellness Programs: Access to mental health resources, wellness reimbursements, and employee assistance programs.

How to Apply

If you are ready to take the next step in your data science career and join a forward-thinking organization that values innovation, impact, and integrity, arenaflex encourages you to apply today. This is more than just a job — it's an opportunity to shape the future of real-world evidence and contribute to research that genuinely makes a difference in patients' lives.

Bring your expertise, your curiosity, and your passion for healthcare analytics to arenaflex. We are excited to welcome a new data scientist to our growing team. Apply now and start your journey with arenaflex!