Remote Real‑World Evidence Data Scientist – Clinical Insights, RWE Analytics & Data Engineering at arenaflex – $26/hr (Full‑Time)

About arenaflex

arenaflex is a global leader in health‑focused data solutions, empowering pharmaceutical innovators, clinicians, and policy makers with actionable real‑world evidence (RWE). Our mission is to transform raw health data into clear, trustworthy insights that drive better patient outcomes, accelerate drug development, and shape the future of healthcare delivery. With a collaborative, technology‑first culture, arenaflex blends cutting‑edge analytics, rigorous scientific methodology, and a deep commitment to data integrity. Join a team that values curiosity, impact, and continuous learning.

Role Overview

We are seeking a highly motivated Remote Real‑World Evidence Data Scientist to join our Clinical Insights team. In this role, you will design, execute, and interpret robust data analyses that generate certifiable evidence from real‑world data (RWD) sources. Reporting directly to the Chief of Clinical Data Science, you will partner with cross‑functional stakeholders—including epidemiologists, health economists, and biopharma collaborators—to answer critical business questions, support regulatory submissions, and inform strategic decision‑making. This is a full‑time, remote position based in Orlando, USA, offering a competitive rate of $26 per hour.

Key Responsibilities

• Data Extraction & Normalization: Mine raw data sets from internal databases and external platforms, transform them into analysis‑ready patient cohorts, and ensure consistent, high‑quality data structures.
• Collaborative Insight Generation: Work closely with clinical research scientists, health economists, and external biopharma partners to translate real‑world observations into actionable insights for drug efficacy, safety, and cost‑effectiveness studies.
• Data Lake Management: Clean, curate, and store data in a centralized data lake, enabling seamless access for downstream analytics and cross‑team initiatives.
• Statistical & Machine Learning Analyses: Conduct descriptive, predictive, and causal analyses using techniques such as regression modeling, propensity score matching, survival analysis, Bayesian methods, and unsupervised learning.
• Methodology Development: Design reproducible analytical pipelines that meet regulatory standards for RWE generation, ensuring transparency and auditability.
• Dashboard & Reporting Creation: Build interactive visualizations and executive‑level reports using Power BI, Tableau, Spotfire, or Alteryx to communicate findings to both technical and non‑technical audiences.
• Quality Assurance & Validation: Perform rigorous data quality assessments, validate external data sources, and document all analytical decisions to support regulatory submissions and internal governance.
• Project Planning & Execution: Contribute to the design, timeline, and delivery of research projects, coordinating with project managers to meet milestones and deliverables.
• Continuous Improvement: Identify opportunities to enhance data pipelines, analytical methods, and platform capabilities, driving efficiency and innovation across the RWE function.

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 observational studies using real‑world health data.
• Proficiency with statistical analysis tools and languages such as R, Python, SAS, or Stata.
• Hands‑on experience handling large, multi‑source data sets, including claims, EMR, and registry data.
• Strong knowledge of standard statistical methods: regression, clustering, decision trees, time‑series analysis, and survival analysis.
• Familiarity with at least one business intelligence platform (Power BI, Alteryx, Spotfire, Tableau, etc.) for data visualization and reporting.
• Understanding of data privacy regulations and experience working with protected health information (PHI) in compliance with HIPAA.
• Excellent written and verbal communication skills, with the ability to translate complex analytical concepts into clear business narratives.

Preferred Qualifications

• Advanced degree (PhD, Master’s) in Biostatistics, Epidemiology, Health Economics, Computer Science, or a related discipline.
• Experience with electronic medical record (EMR) systems, health‑IT standards, and clinical data vocabularies (ICD‑9/10, SNOMED CT, Read Codes).
• Background in Good Clinical Practice (GCP) and familiarity with regulatory frameworks such as ISO, MDD/MDR, or CFR for evidence generation.
• Hands‑on experience with advanced analytics techniques, including Bayesian modeling, causal inference, and machine‑learning pipelines.
• Exposure to data‑driven drug development projects, especially in therapeutic areas like oncology, rare diseases, or chronic conditions.
• Proven track record of publishing or presenting RWE findings in scientific forums or industry conferences.
• Ability to work autonomously in a remote setting while maintaining strong collaboration with distributed teams.

Core Skills & Competencies

• Analytical Rigor: Ability to design reproducible, statistically sound analyses that withstand peer review and regulatory scrutiny.
• Technical Proficiency: Mastery of data manipulation (SQL, pandas), statistical programming, and visualization tools.
• Domain Knowledge: Familiarity with clinical research processes, health‑economics concepts, and the lifecycle of drug development.
• Problem‑Solving Mindset: Proactive approach to identifying data gaps, proposing methodological solutions, and iterating on analyses.
• Communication Excellence: Ability to craft compelling narratives, produce clear documentation, and present findings to senior leadership and external partners.
• Collaboration & Influence: Strong interpersonal skills to partner with scientists, clinicians, and business stakeholders across geographies.
• Ethical Stewardship: Commitment to data privacy, security, and ethical use of patient information.

Career Growth & Learning Opportunities

arenaflex invests heavily in the professional development of its team members. As a Remote Real‑World Evidence Data Scientist, you will have access to:

• Mentorship from senior data scientists and clinical research leaders.
• Sponsored certifications in advanced analytics, data engineering, and regulatory science.
• Opportunities to lead high‑impact RWE projects that influence global drug development strategies.
• Cross‑functional rotations that broaden exposure to health‑economics, market access, and medical affairs.
• Regular internal knowledge‑sharing sessions, webinars, and hackathons focused on emerging technologies such as AI‑driven causal inference.

Work Environment & Culture at arenaflex

Our remote‑first culture is built on trust, flexibility, and a shared passion for improving health outcomes. Key aspects of our environment include:

• Flexibility: Choose your own work hours within a standard 8‑hour day, allowing you to balance personal commitments and peak productivity periods.
• Inclusive Community: A diverse, global workforce where every voice is heard, and collaboration transcends borders.
• Innovation‑Driven: Access to state‑of‑the‑art analytics platforms, cloud infrastructure, and a sandbox environment for experimentation.
• Well‑Being Focus: Programs that support mental health, ergonomic home‑office setups, and regular virtual social events.
• Recognition & Rewards: Performance‑based incentives, peer‑recognition programs, and clear pathways for promotion.

Compensation, Benefits & Perks

arenaflex offers a competitive hourly rate of $26, complemented by a comprehensive benefits package that includes:

• Health, dental, and vision insurance with generous employer contributions.
• Retirement savings plan with company matching.
• Paid time off, holidays, and sick leave to support work‑life balance.
• Professional development stipend for conferences, courses, and certifications.
• Home‑office allowance for equipment, internet, and ergonomic accessories.
• Employee assistance program (EAP) for counseling and financial guidance.
• Wellness initiatives such as virtual fitness classes, meditation sessions, and mental‑health days.

How to Apply

If you are ready to leverage your analytical expertise to generate high‑impact real‑world evidence and drive meaningful change in healthcare, we want to hear from you. Click the link below to submit your application and become part of arenaflex’s mission‑focused team.

Apply Job!

Join arenaflex Today

At arenaflex, your work will directly influence the next generation of therapies, improve patient lives, and shape industry standards. We value curiosity, rigor, and collaboration—qualities that will help you thrive in this role. Take the next step in your career and help us turn data into decisive, life‑changing evidence.