Introduction to arenaflex and the Industry
arenaflex is a leading organization in the healthcare industry, committed to improving patient outcomes and advancing medical research. As a key player in the field, we recognize the importance of data-driven insights in informing clinical trials and real-world evidence (RWE) studies. Our team of experts is dedicated to leveraging cutting-edge technologies and innovative methodologies to drive business growth and improve healthcare outcomes. If you are a motivated and experienced data scientist looking to make a meaningful impact in the industry, we invite you to join our team as a Remote Data Scientist – Real World Evidence Analysis and Clinical Trials Support.
Job Summary
In this role, you will be responsible for creating real-world evidence (RWE) through advanced analysis and innovative methodologies in the clinical trials space. As a key member of the Scientific Affairs team, you will 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, working closely with cross-functional teams to deliver significant insights from real-world, clinical, and other data sources.
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, 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 required, the following qualifications are preferred:
- 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, computational statistics.
- Understanding of statistical and machine learning techniques, ability to continue self-learning of technical and non-technical skills.
Career Growth Opportunities and Learning Benefits
At arenaflex, we are committed to the growth and development of our employees. As a Remote Data Scientist – Real World Evidence Analysis and Clinical Trials Support, you will have access to a range of training and development opportunities, including:
- Professional development workshops and conferences.
- Mentorship programs with experienced data scientists and industry experts.
- Opportunities to work on high-impact projects and collaborate with cross-functional teams.
- Access to cutting-edge technologies and innovative methodologies.
Work Environment and Company Culture
arenaflex is a dynamic and innovative organization that values collaboration, creativity, and diversity. Our remote work environment is designed to support flexibility and work-life balance, while our company culture is built on a foundation of respect, empathy, and open communication. As a member of our team, you can expect:
- A supportive and inclusive work environment.
- Opportunities for collaboration and knowledge-sharing with colleagues from diverse backgrounds and disciplines.
- A culture that values innovation, creativity, and continuous learning.
- Recognition and rewards for outstanding performance and contributions.
Compensation, Perks, and Benefits
arenaflex offers a competitive compensation package, including a salary of $27/hour, as well as a range of perks and benefits, such as:
- Comprehensive health insurance and wellness programs.
- Retirement savings plans and financial planning resources.
- Paid time off and flexible vacation policies.
- Opportunities for professional development and career advancement.
Conclusion
If you are a motivated and experienced data scientist looking to make a meaningful impact in the healthcare industry, we invite you to join our team at arenaflex as a Remote Data Scientist – Real World Evidence Analysis and Clinical Trials Support. With a competitive compensation package, opportunities for career growth and development, and a dynamic and innovative work environment, this is an exciting opportunity to take your career to the next level. Apply now to join our team and contribute to the advancement of medical research and patient outcomes.