Remote Part‑Time Real‑World Evidence Data Scientist – Clinical Research Analytics & Data Engineering – $27/hr at arenaflex

About arenaflex – Innovating Health at Scale

arenaflex is a global leader in health‑focused retail and data‑driven clinical research. With a heritage that spans more than a century, arenaflex combines deep expertise in pharmacy services, consumer health, and cutting‑edge data science to improve outcomes for millions of patients worldwide. Our mission is to turn real‑world health data into actionable insights that shape the future of medicine, support pharmaceutical innovation, and empower clinicians to make better decisions. As a remote‑first organization, arenaflex offers flexible work arrangements, a collaborative culture, and a commitment to continuous learning.

Why This Role Matters

In the rapidly evolving landscape of real‑world evidence (RWE), the ability to extract, clean, and analyze large, heterogeneous data sets is critical. As a Remote Part‑Time Real‑World Evidence Data Scientist, you will be at the heart of arenaflex’s Clinical Research team, turning raw health data into reliable evidence that drives drug development, health‑policy decisions, and patient‑centric care pathways. Your work will directly influence how new therapies are evaluated for safety, effectiveness, and value in real‑world settings.

Key Responsibilities

• Mine raw data collections from internal databases and licensed external platforms to create normalized, analysis‑ready patient cohorts.
• Collaborate with clinical research scientists, epidemiologists, and external partners to translate real‑world data (RWD) into robust real‑world evidence (RWE) for therapeutic area studies.
• Clean, transform, and store data in a curated data lake, ensuring compliance with data‑governance standards and patient privacy regulations.
• Perform advanced statistical and machine‑learning analyses (e.g., propensity‑score matching, survival analysis, time‑series modeling) to uncover insights on treatment patterns, outcomes, and cost‑effectiveness.
• Develop and maintain reproducible analytical pipelines using R, Python, or SQL, adhering to best practices for version control and documentation.
• Partner with cross‑functional teams to design and execute outcomes research studies, including protocol development, data extraction plans, and statistical analysis plans.
• Produce high‑quality dashboards, visualizations, and written reports for internal stakeholders and external sponsors, ensuring clarity and actionable recommendations.
• Evaluate new data sources and vendors, conducting data‑quality assessments to inform strategic acquisition decisions.
• Stay current with emerging methodologies in epidemiology, health economics, and AI‑driven analytics, and proactively share knowledge with the team.

Essential Qualifications

• Education: Bachelor’s degree in a quantitative discipline (e.g., Statistics, Computer Science, Epidemiology, Bioinformatics, or related field).
• Experience: Minimum 2 years of hands‑on experience with R, Python, or SQL for data manipulation and statistical analysis.
• Demonstrated ability to design and execute reproducible quantitative analyses on large health‑care data sets.
• Solid understanding of statistical testing methods, including regression modeling, clustering, decision trees, unsupervised learning, and survival analysis.
• Experience handling big data from multiple sources (claims, EMR, registries, etc.) while maintaining data integrity and security.
• Familiarity with data‑visualization tools such as Tableau, Power BI, Alteryx, Spotfire, or similar platforms.
• Strong communication skills, with the ability to translate complex analytical results into clear, concise narratives for both technical and non‑technical audiences.

Preferred Qualifications & Skills

• Advanced degree (M.S. or Ph.D.) in a relevant field.
• Expertise in EMR/Health‑IT systems, disease registries, and claims data structures.
• Knowledge of clinical terminology and ontologies (ICD‑9/10, SNOMED CT, Read Codes).
• Experience with Good Clinical Practice (GCP), ISO, MDD/MDR, or CFR compliance for real‑world evidence studies.
• Proficiency in advanced analytics techniques such as Bayesian modeling, sequential analysis, and causal inference.
• Exposure to AI/ML pipelines for predictive modeling and natural language processing of clinical notes.
• Ability to work independently in a remote environment while maintaining strong collaboration with distributed teams.

Core Skills & Competencies

• Analytical Rigor: Ability to critically assess data quality, identify biases, and apply appropriate statistical corrections.
• Technical Proficiency: Mastery of data‑wrangling libraries (pandas, dplyr), statistical packages (statsmodels, survival), and database querying (SQL, NoSQL).
• Problem‑Solving: Creative approach to complex research questions, leveraging interdisciplinary knowledge.
• Communication: Clear storytelling through visualizations, executive summaries, and presentations.
• Compliance Awareness: Understanding of HIPAA, GDPR, and other privacy regulations governing patient data.
• Collaboration: Strong teamwork ethic, comfortable partnering with clinicians, data engineers, and external sponsors.

Career Growth & Learning Opportunities

arenaflex invests heavily in employee development. As a part‑time member of our Clinical Research team, you will have access to:

• Mentorship from senior data scientists and epidemiologists who are thought leaders in RWE.
• Sponsored certifications (e.g., Certified Health Data Analyst, SAS Advanced Programming) and tuition reimbursement for advanced degrees.
• Regular internal webinars on emerging topics such as real‑world AI, health‑economics modeling, and regulatory science.
• Opportunities to present findings at industry conferences and co‑author publications with arenaflex researchers.
• A clear pathway to transition into full‑time or senior roles, including Lead Data Scientist, Clinical Analytics Manager, or Director of Real‑World Evidence.

Work Environment & Culture at arenaflex

arenaflex fosters an inclusive, purpose‑driven culture where curiosity is celebrated and impact is measured. Our remote‑first policy means you can work from anywhere in the United States while staying connected through:

• Weekly virtual team huddles and quarterly in‑person meet‑ups.
• Collaborative platforms (Slack, Microsoft Teams, Confluence) that keep projects transparent and accessible.
• Employee resource groups focused on diversity, wellness, and professional growth.
• A supportive leadership team that encourages work‑life balance and recognizes achievements.

Compensation, Perks & Benefits (General Overview)

arenaflex offers a competitive hourly rate of $27, reflecting the specialized expertise required for this role. In addition to base compensation, part‑time team members enjoy a comprehensive benefits package that may include:

• Health, dental, and vision insurance options with employer contributions.
• Prescription drug discounts at arenaflex pharmacies.
• Employee Assistance Program (EAP) for confidential counseling and support services.
• Paid Time Off (PTO) for holidays, vacation, and sick days, prorated for part‑time schedules.
• Retirement savings plans (e.g., 401(k)) with matching contributions where eligible.
• Employee discounts on arenaflex products and services.
• Wellness initiatives such as virtual fitness challenges, health screenings, and mental‑health resources.
• Flexible scheduling to accommodate personal commitments and time‑zone differences.

How to Apply

If you are passionate about turning real‑world health data into evidence that drives better patient outcomes, we want to hear from you. Join arenaflex’s innovative team and help shape the future of clinical research while enjoying the flexibility of remote, part‑time work.

Take the next step in your career today – apply now and become a catalyst for change at arenaflex!