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, dedicated to providing innovative solutions and exceptional services to its clients. As a renowned player in the field, arenaflex is committed to advancing the use of real-world evidence (RWE) and clinical trials to improve patient outcomes and drive business growth. With a strong focus on data-driven decision-making, arenaflex is seeking a highly skilled and experienced Data Scientist to join its team.

Job Summary

The Data Scientist will be responsible for producing high-quality, certifiable RWE through advanced analysis and innovative methodologies in the clinical trials space. As a vital member of the Scientific Projects team, the successful candidate will be expected to drive internal and external decision-making through the use of cutting-edge data science and technology. This role will involve conducting sophisticated data analysis to address critical business questions, working closely with cross-functional teams, and collaborating with external partners to deliver meaningful insights from real-world, clinical, and other data sources.

Key Responsibilities

• Mine raw data sets to deliver normalized, analysis-ready patient cohorts from in-house data resources or licensed platforms, analyze and interpret results, and help shape analysis methodology.
• Partner with various members of the arenaflex Clinical Trials team to deliver significant 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 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, 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

• Ph.D. or 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) 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 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 providing our employees with opportunities for growth and development. As a Data Scientist, you will have the chance to work on complex and challenging projects, collaborate with experienced professionals, and develop your skills in data science and analytics. Our organization offers a range of training programs, workshops, and conferences to help you stay up-to-date with the latest trends and technologies in the field.

Work Environment and Company Culture

arenaflex is a dynamic and innovative organization that values diversity, inclusivity, and collaboration. Our team is passionate about using data science and analytics to drive business growth and improve patient outcomes. We offer a flexible and supportive work environment, with opportunities for remote work and professional development. Our company culture is built on a foundation of integrity, respect, and open communication, and we are committed to creating a positive and inclusive work environment for all employees.

Compensation, Perks, and Benefits

arenaflex offers a competitive salary and benefits package, including health insurance, retirement savings plans, and paid time off. We also provide opportunities for professional development, flexible scheduling, and a range of perks and discounts. As a remote employee, you will have the flexibility to work from anywhere, with the support of our virtual team and technology platforms.

Conclusion

If you are a motivated and experienced Data Scientist looking for a challenging and rewarding role, we encourage you to apply for this opportunity at arenaflex. With a strong focus on data-driven decision-making and a commitment to innovation and excellence, we are confident that you will find this role both stimulating and fulfilling. Join our team and contribute to the advancement of real-world evidence and clinical trials analysis in the healthcare industry.

Apply now and take the first step towards a rewarding and challenging career at arenaflex. Apply Now

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