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

About arenaflex – Pioneering Health Innovation at Scale

arenaflex is a global leader in health‑focused retail and digital services, delivering millions of customers across the United States access to prescription medications, wellness products, and cutting‑edge health technologies. Founded over a century ago, arenaflex has evolved from a neighborhood pharmacy chain into a data‑driven health ecosystem that blends in‑store expertise with powerful analytics platforms. Our mission is to empower people to lead healthier lives by turning everyday health interactions into actionable insights that drive better outcomes for patients, providers, and the broader healthcare community.

Why This Role Matters

In today’s rapidly changing healthcare landscape, real‑world evidence (RWE) is the cornerstone of informed decision‑making for pharmaceutical partners, regulators, and clinicians. As a Remote Real‑World Evidence Data Scientist at arenaflex, you will be at the heart of this transformation, converting raw clinical data into certifiable proof that shapes therapeutic strategies, informs market access, and ultimately improves patient care. This is a unique opportunity to work on high‑impact projects that blend rigorous scientific methodology with innovative data‑engineering techniques—all from the comfort of your home office.

Role Overview

Reporting directly to the Chief, Clinical Information Science, you will join a multidisciplinary team of researchers, data engineers, and clinical experts. Your primary responsibility will be to design, execute, and communicate robust analytical studies that answer critical business questions for arenaflex’s pharmaceutical partners. You will collaborate closely with clinical research teams, external biopharma collaborators, and internal stakeholders to ensure that every insight is grounded in scientific rigor and delivered with clarity.

Key Responsibilities

• Data Extraction & Normalization: Mine raw data repositories, transform heterogeneous data sources into standardized, analysis‑ready patient cohorts, and maintain a high‑quality integrated data lake for downstream research.
• Collaborative Insight Generation: Partner with clinical research scientists to translate real‑world observations into actionable evidence that supports drug efficacy, safety, and health‑economic assessments.
• Statistical & Machine Learning Analyses: Apply advanced statistical models (e.g., propensity scoring, survival analysis, hierarchical modeling) and machine‑learning techniques (e.g., random forests, gradient boosting, Bayesian networks) to uncover patterns in patient outcomes.
• Data Governance & Security: Ensure compliance with HIPAA, GDPR, and other regulatory frameworks while handling protected health information (PHI) with the utmost confidentiality.
• Visualization & Reporting: Build interactive dashboards and comprehensive reports using BI tools such as Power BI, Tableau, or Spotfire to communicate findings to both technical and non‑technical audiences.
• Methodology Development: Lead the creation of reproducible analytical pipelines, documenting best practices and standard operating procedures for RWE generation.
• Quality Assurance: Conduct rigorous validation of data sources, analytical methods, and results to guarantee the integrity and reliability of all deliverables.
• Stakeholder Engagement: Present study designs, interim results, and final conclusions to internal leadership, external partners, and regulatory bodies, translating complex analytics into clear business value.
• Continuous Improvement: Evaluate emerging data sources (e.g., wearables, claims databases) and innovative analytical techniques to enhance the breadth and depth of arenaflex’s RWE capabilities.

Essential Qualifications

• Bachelor’s degree in a quantitative discipline (e.g., Statistics, Biostatistics, Computer Science, Epidemiology, Mathematics, or related field). A master’s degree is highly desirable.
• Minimum 3 years of hands‑on experience conducting robust observational research using real‑world health data.
• Proficiency in statistical programming languages such as R, Python, SAS, or Stata, with a strong emphasis on reproducible code and version control (Git).
• Demonstrated expertise in data manipulation, cleaning, and integration from multiple sources, including electronic medical records (EMR), claims databases, and registries.
• Solid understanding of epidemiologic study designs, causal inference methods, and health‑economic evaluation techniques.
• Experience with at least one business intelligence platform (Power BI, Tableau, Spotfire, or similar) for building dashboards and visual analytics.
• Strong communication skills, with the ability to convey complex analytical concepts to diverse audiences.
• Commitment to data privacy, security, and regulatory compliance when handling PHI.

Preferred Qualifications

• Ph.D. or advanced degree in Biostatistics, Epidemiology, Health Economics, Computer Science, or a related discipline.
• Hands‑on experience with cloud‑based data platforms (AWS, Azure, GCP) and big‑data processing frameworks (Spark, Hadoop).
• Familiarity with clinical data standards and vocabularies (ICD‑9/10, SNOMED CT, LOINC, RxNorm) and the ability to map raw data to these ontologies.
• Knowledge of Good Clinical Practice (GCP) and regulatory guidelines (ISO 14155, FDA 21 CFR 11, EU MDR) for real‑world evidence generation.
• Experience in health‑technology assessment (HTA) or market‑access research, including cost‑effectiveness and budget‑impact modeling.
• Exposure to advanced analytics such as deep learning, natural language processing (NLP) for unstructured clinical notes, or reinforcement learning for treatment optimization.
• Track record of publishing peer‑reviewed articles or presenting at scientific conferences.

Core Skills & Competencies

• Analytical Rigor: Ability to design statistically sound studies, select appropriate methodologies, and interpret results with scientific precision.
• Technical Acumen: Mastery of data‑engineering tools, scripting languages, and visualization platforms to build end‑to‑end analytical pipelines.
• Problem‑Solving Mindset: Proactive approach to identifying data gaps, troubleshooting analytical challenges, and delivering innovative solutions.
• Collaboration & Influence: Comfortable working in cross‑functional teams, influencing decision‑makers, and building consensus across diverse stakeholder groups.
• Communication Excellence: Clear, concise, and compelling storytelling through written reports, slide decks, and oral presentations.
• Ethical Stewardship: Deep respect for patient privacy, data integrity, and the ethical implications of health research.

Career Growth & Learning Opportunities

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

• Mentorship from senior scientists and industry thought leaders who have shaped national health‑policy discussions.
• Funding for certifications (e.g., Certified Clinical Data Scientist, AWS Certified Data Analytics) and advanced coursework in AI, causal inference, and health economics.
• Opportunities to lead multi‑disciplinary projects, publish findings, and present at international conferences.
• Rotational programs that allow you to explore adjacent domains such as pharmacovigilance, digital therapeutics, and population health management.
• A collaborative community of data professionals who share best practices through internal hackathons, brown‑bag sessions, and knowledge‑sharing portals.

Work Environment & Culture at arenaflex

Our remote workforce is built on trust, flexibility, and a shared commitment to impact. arenaflex fosters an inclusive culture where diverse perspectives are celebrated and every voice matters. Key cultural pillars include:

• Flexibility: Choose a work schedule that aligns with your personal rhythm while meeting project milestones.
• Innovation: A “sandbox” mindset encourages experimentation with new data sources, analytical techniques, and technology stacks.
• Well‑Being: Comprehensive wellness programs, virtual fitness challenges, and mental‑health resources support a balanced lifestyle.
• Community: Regular virtual town‑halls, employee resource groups, and mentorship circles create a sense of belonging across geographic boundaries.
• Recognition: Performance‑based awards and peer‑nominated honors celebrate achievements and reinforce a culture of excellence.

Compensation, Perks & Benefits (General Overview)

arenaflex offers a competitive compensation package that reflects the expertise you bring to the role. While the base hourly rate for this position is $26, additional components may include:

• Performance bonuses tied to project milestones and analytical impact.
• Comprehensive health, dental, and vision coverage for you and eligible dependents.
• Retirement savings plans with employer matching contributions.
• Generous paid time off, including holidays, vacation days, and sick leave.
• Employee discounts on arenaflex products and services, including prescription savings.
• Professional development stipend for conferences, certifications, and continuing education.
• Home‑office allowance to support ergonomic equipment and high‑speed internet connectivity.

How to Apply

If you are passionate about turning real‑world health data into actionable evidence and thrive in a collaborative, remote‑first environment, we want to hear from you. Join arenaflex’s mission‑driven analytics team and help shape the future of healthcare.

Apply Now – Start Your Journey with arenaflex Today!