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

Introduction to arenaflex

arenaflex is a leading organization in the healthcare industry, dedicated to providing innovative solutions and exceptional services to its customers. With a strong commitment to excellence and a passion for making a positive impact, arenaflex has established itself as a trusted and respected name in the field. As a remote data scientist at arenaflex, you will have the opportunity to work with a talented team of professionals who share your passion for data analysis and your commitment to delivering high-quality results.

Job Overview

In this exciting role, you will be responsible for producing certifiable real-world evidence (RWE) through advanced analysis and innovative methodologies in the clinical trials space. As a vital part of the Scientific Projects team, you will have the opportunity to impact both internal and external decision-making through the use of creative data science and technology. Your primary focus will be on conducting 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 cohorts 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 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, analytics, 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

• 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

• 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 with 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 statistics 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 helping our employees grow and develop in their careers. As a remote data scientist, you will have access to a range of training and development opportunities, including workshops, webinars, and online courses. You will also have the chance to work with a talented team of professionals who are passionate about data analysis and committed to delivering high-quality results. With a strong focus on innovation and excellence, arenaflex is the perfect place to take your career to the next level.

Work Environment and Company Culture

arenaflex is a dynamic and innovative organization that values creativity, collaboration, and excellence. Our company culture is built on a foundation of respect, integrity, and a passion for making a positive impact. As a remote data scientist, you will be part of a talented team of professionals who share your values and your commitment to delivering high-quality results. With a flexible and supportive work environment, you will have the freedom to work from anywhere and achieve a healthy work-life balance.

Compensation, Perks, and Benefits

At arenaflex, we offer a competitive salary and benefits package that reflects our commitment to our employees' well-being and success. As a remote data scientist, you can expect a salary of $26 per hour, as well as a range of benefits, including health care benefits, prescription drug discounts, employee assistance programs, paid time off, retirement plans, employee discounts, and wellness programs. With a strong focus on employee satisfaction and retention, arenaflex is the perfect place to build a rewarding and successful career.

Conclusion

If you are a motivated and talented data scientist looking for a new challenge, we encourage you to apply for this exciting opportunity at arenaflex. With a strong commitment to innovation, excellence, and employee satisfaction, we offer a dynamic and supportive work environment that is perfect for professionals who are passionate about data analysis and committed to delivering high-quality results. Don't miss out on this chance to join our team and take your career to the next level. Apply now and discover the arenaflex difference!

Apply Now