Experienced Data Analyst and Virtual Assistant – Remote Job Opportunity for Statistical Analysis and Research in the Healthcare Industry

Introduction to arenaflex

arenaflex is a leading organization in the healthcare industry, committed to delivering high-quality services and innovative solutions to its clients. With a strong focus on research and development, arenaflex is seeking a highly skilled and motivated Data Analyst and Virtual Assistant to join its team. As a remote job opportunity, this role offers the flexibility to work from anywhere, while being part of a dynamic and forward-thinking organization.

Job Summary

The successful candidate 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, the Data Analyst and Virtual Assistant will conduct modern 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 research strategy.
• Collaborate with various 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 utilization.
• 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 implementation 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 investment decisions.

Essential Qualifications

To be successful in this role, the candidate should have:

• Experience in designing and executing robust and reproducible statistical analyses related to epidemiology and observational research with healthcare data.
• Knowledge of common statistical testing methods, including generalized linear models, classification and regression, 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

Preferred candidates will have:

• A PhD or Master's degree in statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or a related field.
• Expertise in EMR/Health IT, disease libraries, and insurance claims databases.
• Knowledge of 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 arrangements.
• Experience with experimental 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 Opportunities and Learning Benefits

At arenaflex, we are committed to the growth and development of our employees. As a Data Analyst and Virtual Assistant, you will have access to:

• Ongoing training and professional development opportunities to enhance your skills and knowledge.
• Mentorship and coaching from experienced professionals in the field.
• Opportunities to work on diverse projects and collaborate with cross-functional teams.
• A dynamic and supportive work environment that encourages innovation and creativity.

Work Environment and Company Culture

arenaflex is a company that values its employees and is committed to creating a positive and inclusive work environment. We offer:

• A flexible and remote work arrangement that allows you to work from anywhere.
• A collaborative and dynamic team environment that encourages open communication and feedback.
• A culture that values diversity, equity, and inclusion, and is committed to creating a workplace that is welcoming and inclusive to all employees.
• Opportunities to participate in company-wide initiatives and events that promote employee engagement and well-being.

Compensation, Perks, and Benefits

arenaflex offers a competitive compensation package that includes:

• A salary range of $20-30 per hour, depending on experience.
• A comprehensive benefits package that includes health, dental, and vision insurance, as well as a 401(k) retirement plan.
• Opportunities for professional development and growth, including training and education programs.
• A flexible and remote work arrangement that allows you to work from anywhere.

Conclusion

If you are a motivated and skilled Data Analyst and Virtual Assistant looking for a challenging and rewarding role, we encourage you to apply for this exciting opportunity at arenaflex. With its commitment to innovation, diversity, and employee growth, arenaflex is the perfect place to take your career to the next level. Apply now and join our team of talented professionals who are passionate about making a difference in the healthcare industry.