Experienced Data Scientist - Real World Evidence (RWE) Analytics & Clinical Research

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About arenaflex

Welcome to arenaflex, a leading innovator in healthcare analytics and clinical research solutions. At arenaflex, we believe in transforming complex healthcare data into actionable insights that improve patient outcomes and advance medical science. As part of our dynamic Scientific Projects team, you'll have the opportunity to work at the intersection of data science, clinical research, and biopharmaceutical innovation.

Our organization is committed to leveraging cutting-edge analytical methodologies and real-world data to answer critical questions in healthcare. We partner with biopharmaceutical companies, academic institutions, and healthcare providers to generate robust Real World Evidence (RWE) that informs treatment decisions, supports regulatory submissions, and ultimately improves patient care across diverse disease states.

Join arenaflex and become part of a collaborative team that values intellectual curiosity, scientific rigor, and the pursuit of excellence in healthcare analytics.

Position Overview

We are seeking a talented and motivated Data Scientist - Real World Evidence to join our Clinical Data Science division. In this pivotal role, you will be responsible for generating high-quality Real World Evidence through advanced research methodologies and innovative approaches in the clinical trials space. You will serve as a crucial member of our Scientific Projects team, working to influence decision-making both internally and externally through the use of creative data science and technology.

This position offers an exciting opportunity to conduct sophisticated data analysis that addresses critical business questions, collaborates with cross-functional teams, and contributes to groundbreaking research that shapes the future of healthcare.

Key Responsibilities

• Data Mining and Preparation: Mine raw datasets to deliver normalized, analysis-ready patient cohorts from internal data resources or licensed platforms, analyze and interpret results, and help shape overall analysis strategy
• Cross-Functional Collaboration: Partner with members of the arenaflex Clinical Trials team to deliver actionable insights from real-world, clinical, and other data sources to support biopharmaceutical RWE and clinical trial requests. Potential projects include analysis of unmet needs, safety and efficacy in specific disease states, treatment patterns and healthcare burden, and cost-effectiveness modeling
• Data Management: Clean, transform, and store data into an integrated data lake for future analysis and broader team utilization
• Statistical Analysis: Perform data mining and statistical analysis to analyze RWE/Real World Data (RWD) to discover new insights regarding patient populations and treatment outcomes
• Capability Development: Support the development of real-world data, analytics, and platform capabilities, applying advanced analysis and tools to address scientific inquiries from biopharmaceutical organizations
• Research Execution: Collaborate on design and execution of outcomes research studies
• Quality Assurance: Ensure high-quality, rigorous, and readily interpretable outputs from RWE reviews and investigations
• Reporting and Visualization: Build dashboards, analyses, and reports for internal and external use
• Vendor Evaluation: Conduct due diligence on new real-world data provider vendors and drive RWD quality assessments to inform project decisions

Essential Qualifications

• Statistical Expertise: Experience designing and executing robust and reproducible statistical analyses in the context of epidemiology and observational research with healthcare data
• Statistical Methods Knowledge: Familiarity with common statistical testing techniques including generalized linear models, clustering and segmentation, decision trees, unsupervised learning, time series analysis, and survival analysis
• Large Data Handling: Experience processing large data from diverse data sources
• Data Privacy: Experience handling protected patient health information (PHI) with strict adherence to privacy regulations and best practices
• Visualization Tools: Knowledge of at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other BI/insight tools
• Education: Bachelor's degree in statistics, biostatistics, data science, computer science, mathematics, or related field

Preferred Qualifications

• Advanced Degree: PhD or Master's degree in statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or related field
• Healthcare Data Expertise: Proficiency in EMR/Health IT, disease registries, and insurance claims databases
• Clinical Data Standards: Knowledge of clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD-9/10/ReadCode)
• Regulatory Experience: Experience in Good Clinical Practice (GCP) as well as regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR)
• Innovative Data Collection: Experience working with alternative data sources and alternative methods for clinical data collection, especially those enabled by technology platforms and/or solutions
• Advanced Analytics: Experience with experimental design, Bayesian modeling, sequential data, and computational statistics
• Continuous Learning: Strong understanding of statistics and machine learning methods, with the ability to continuously self-learn technical and non-technical skills

Required Skills and Competencies

• Proficiency in programming languages such as Python, R, or SAS


• StrongSQL skills for database querying and manipulation


• Excellent problem-solving abilities and analytical thinking


• Strong communication skills with the ability to present complex findings to both technical and non-technical audiences


• Ability to work independently and as part of a collaborative team


• Attention to detail and commitment to data quality


• Strong project management skills and ability to meet deadlines


• Knowledge of healthcare data structures and terminology

Career Growth and Learning Opportunities

At arenaflex, we invest in the professional development of our team members. As a Data Scientist in our RWE division, you will have access to:

• Advanced Training Programs: Opportunities to enhance your skills in cutting-edge analytics methodologies, machine learning, and healthcare data science


• Career Advancement: Clear pathways for career progression within the organization, including potential transitions to senior analytical roles, team leadership positions, or specialized research areas


• Industry Exposure: Work on diverse projects across multiple therapeutic areas and gain experience with various biopharmaceutical clients


• Conference Participation: Opportunities to present research findings at industry conferences and contribute to scientific publications


• Mentorship Programs: Access to experienced mentors who can guide your professional development


• Cross-Functional Learning: Exposure to different aspects of clinical research, data engineering, and strategic consulting

Work Environment and Culture

arenaflex offers a dynamic and inclusive work environment that fosters innovation and collaboration. Our culture is built on:

• Collaboration: Working together across disciplines to solve complex healthcare challenges


• Innovation: Encouraging creative approaches to data analysis and problem-solving


• Work-Life Balance: Flexible scheduling options to meet diverse employee needs


• Inclusivity: A diverse team that values different perspectives and experiences


• Integrity: Commitment to scientific rigor and ethical data practices


• Continuous Improvement: Regular feedback loops and opportunities for process improvement

We understand the importance of maintaining a healthy work-life balance and offer flexible working arrangements to support our team members' well-being.

Compensation and Benefits

arenaflex is committed to providing competitive compensation and comprehensive benefits to our employees. We offer:

• Competitive Salary: An attractive base salary commensurate with experience and qualifications (starting at $26/hour for this position)


• Health Insurance: Comprehensive medical, dental, and vision coverage for employees and their families


• Retirement Plans: 401(k) retirement savings plan with employer matching contributions


• Paid Time Off: Generous paid time off including holidays, vacation, and sick leave


• Professional Development: Financial support for continuing education, certifications, and professional development programs


• Wellness Programs: Access to wellness resources, fitness programs, and health screenings


• Employee Assistance Program: Confidential counseling and support services for employees and their families


• Employee Discounts: Discounts on products and services


• Remote Work Options: Flexible work arrangements including remote work opportunities

Why Join arenaflex?

By joining arenaflex, you become part of an organization that is transforming healthcare through data-driven insights. You'll work alongside talented professionals who are passionate about improving patient outcomes and advancing medical science. This role offers the unique opportunity to:

• Make a meaningful impact on healthcare decisions through rigorous data analysis


• Develop expertise in real-world evidence generation and clinical research


• Collaborate with leading biopharmaceutical companies on innovative research projects


• Build a rewarding career in a growing field at the intersection of data science and healthcare


• Contribute to publications and presentations that shape the industry


• Work with diverse datasets and advanced analytical tools

How to Apply

If you are passionate about leveraging data science to improve healthcare outcomes and meet the qualifications outlined above, we encourage you to apply for this exciting opportunity at arenaflex.

To apply, please submit your updated resume, cover letter, and any relevant certifications or portfolio items demonstrating your analytical capabilities. Our recruitment team will review applications on a rolling basis and contact qualified candidates for further discussion.

arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applications from qualified individuals regardless of race, color, religion, sex, national origin, age, disability, or any other protected characteristic.

Join arenaflex today and be part of a team that is revolutionizing healthcare through the power of data science and Real World Evidence!