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Experienced Remote Data Scientist – Real World Evidence and Clinical Trials Analysis Expert

Remote, USA Full-time Posted 2025-11-24

Introduction to arenaflex

arenaflex is a leading organization in the private industry, dedicated to delivering innovative solutions and exceptional services. As a pioneer in the field, we are committed to fostering a culture of excellence, collaboration, and continuous learning. Our team of experts is passionate about making a meaningful impact, and we are now seeking a highly skilled and motivated Data Scientist to join our ranks.

Job Overview

In this exciting role, you will be responsible for creating Real World Evidence (RWE) through cutting-edge analysis and innovative methodologies in the clinical trials space. As a key member of the Scientific Affairs team, you will have the opportunity to influence internal and external decision-making through the use of creative data science and technology. Your primary focus will be on leading sophisticated data analysis to address critical business questions, and you will report directly to the Chief, Clinical Data Science.

Key Responsibilities

  • Mine raw data sets to deliver standardized, analysis-ready patient datasets from in-house data resources or licensed platforms, analyze and interpret results, and help shape analysis strategy.
  • Collaborate with other members of the arenaflex Clinical Trials team to deliver meaningful insights from real-world, clinical, and other data sources to support biopharmaceutical RWE and clinical trial requests.
  • Clean, transform, and store data into a unified data lake for future analysis and broader team use.
  • Perform data mining and statistical analysis to analyze RWE/RWD and discover new insights regarding patient populations and treatment outcomes.
  • Support the development of real-world data, analytics, and platform capabilities, applying advanced analytics and tools to resolve scientific questions from biopharmaceutical companies.
  • Collaborate on the design and execution of outcomes research studies.
  • Ensure high-quality, comprehensive, and readily interpretable predictions from RWE studies and analyses.
  • Build dashboards, analysis, and reports for internal and external use.
  • Conduct a thorough review of new real-world data suppliers and vendors and drive RWD quality assessments to inform project decisions.

Essential Qualifications

To be successful in this role, you will need:

  • 2 years of experience with R, Python, or SQL.
  • Experience in designing and executing effective and reproducible statistical analyses in the context of epidemiology and observational research with healthcare data.
  • Knowledge of common statistical testing methods, including generalized linear models, clustering and classification, decision trees, solo learning, time series analysis, and survival analysis.
  • Experience handling large data from multiple data sources.
  • Experience handling protected patient health information.
  • Knowledge of at least one of the following: Tableau, Power Bi, Alteryx, Spotfire, or other BI intelligence tools.

Preferred Qualifications

While not essential, the following skills and experience are highly desirable:

  • Expertise in EMR/Health IT, disease libraries, and insurance claims databases.
  • Proficiency in clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode).
  • Experience in Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR).
  • Experience working with alternative data sources and alternative methods for clinical data collection, particularly those enabled by technology platforms and/or solutions.
  • Experience with trial design, Bayesian modeling, sequential data, and computational statistics.
  • Understanding of statistical and machine learning techniques, with the ability to continue self-learning of technical and non-technical skills.

Career Growth and Learning Opportunities

At arenaflex, we are committed to supporting the growth and development of our team members. As a Data Scientist, you will have access to a range of training and development opportunities, including:

  • Professional development workshops and conferences.
  • Mentorship programs.
  • Online courses and tutorials.
  • Cross-functional project work.

Work Environment and Company Culture

arenaflex is a dynamic and inclusive workplace, where collaboration, creativity, and innovation are valued. Our team is passionate about making a positive impact, and we are committed to fostering a culture of respect, empathy, and open communication. As a remote worker, you will be part of a distributed team, with opportunities to connect with colleagues and contribute to the development of our organization.

Compensation, Perks, and Benefits

arenaflex offers a competitive compensation package, including a salary of $27 per hour, as well as a range of perks and benefits, such as:

  • Flexible working hours.
  • Remote work opportunities.
  • Comprehensive health insurance.
  • Retirement savings plan.
  • Paid time off and holidays.

Conclusion

If you are a motivated and experienced Data Scientist, looking for a new challenge and opportunity to make a meaningful impact, we encourage you to apply for this exciting role at arenaflex. With a strong focus on innovation, collaboration, and continuous learning, we are confident that you will thrive in our dynamic and inclusive workplace. Apply now to join our team and take the first step towards an exciting and rewarding career with arenaflex.

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