Experienced Remote Data Scientist – Real-World Evidence and Clinical Trials Analysis at arenaflex

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 are dedicated to harnessing the power of data science and technology to drive innovation and inform decision-making. The healthcare industry is rapidly evolving, with an increasing focus on real-world evidence (RWE) and clinical trials to support the development of new treatments and therapies. At arenaflex, we are at the forefront of this movement, and we are seeking a talented Data Scientist to join our team.

Job Summary

The Information Researcher - RWE will be responsible for producing certifiable proof (RWE) through cutting-edge analysis and innovative methodologies in the clinical trials space. As a vital part of the Scientific Projects group, the successful candidate will be expected to impact both internal and external decision-making through the use of innovative data science and technology. In this role, you will conduct sophisticated data analysis to help address critical business questions, reporting 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 methodology.
• 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 an integrated data lake for future analysis and broader team use.
• Perform data mining and statistical analysis to analyze RWE/RWD to discover new insights regarding patient populations and treatment outcomes.
• Support the development of real-world data, analysis, 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 study and analyses.
• Build dashboards, analysis, and reports for internal and external use.
• Conduct a reasonable level of effort on new real-world data suppliers, vendors, and drive RWD quality evaluations to inform project decisions.

Essential Qualifications

To be successful in this role, you will need:

• Experience in designing and executing robust and reproducible statistical analyses with regard to epidemiology and observational research with healthcare data.
• Knowledge of common statistical testing methods, including generalized linear models, classification and regression, decision trees, unsupervised 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 qualifications are preferred:

• PhD, Master's degree in statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or a related field.
• Expertise in EMR/Health IT, disease registries, 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) as well as regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR).
• Experience working on alternative data sources and alternative methods for clinical data collection, particularly those enabled by technology platforms and/or solutions.
• Experience with experimental 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 Data Scientist, you will have the opportunity to work on complex and challenging projects, collaborating with experienced professionals in the field. You will also have access to ongoing training and development opportunities, including workshops, conferences, and online courses, to help you stay up-to-date with the latest advancements in data science and technology.

Work Environment and Company Culture

arenaflex is a dynamic and innovative organization, with a strong focus on teamwork and collaboration. Our company culture is built on a foundation of respect, integrity, and open communication, and we are committed to creating a positive and inclusive work environment for all employees. 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 salary and benefits package, including:

• A hourly rate of $26/hour.
• Comprehensive health insurance.
• Retirement savings plan.
• Paid time off and holidays.
• Opportunities for professional development and growth.

Conclusion

If you are a motivated and experienced Data Scientist, looking for a challenging and rewarding role in the healthcare industry, we encourage you to apply for this exciting opportunity at arenaflex. With a strong focus on innovation, teamwork, and employee development, we offer a unique and supportive work environment that will help you achieve your career goals. Apply now to join our team and contribute to the advancement of medical research and patient outcomes.