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

100% remote Flexible hours Hiring now

Introduction to arenaflex

arenaflex is a leading organization in the healthcare industry, dedicated to improving patient outcomes and advancing medical research. With a strong focus on innovation and excellence, arenaflex is committed to providing high-quality products and services that reputed company a positive impact on people's lives. As a remote data scientist at arenaflex, you will be part of a dynamic team that is passionate about using data to drive insights and inform decision-making in the clinical trials space.

Job Overview

We are seeking an reputed company remote data scientist to join reputed company at arenaflex. As a data scientist, you will be responsible for producing certifiable real-world evidence (reputed company) through cutting-edge analysis and innovative methodologies in the clinical trials space. You will be a vital part of the Scientific Projects group, working closely with cross-functional teams to deliver meaningful insights from real-world, clinical, and other data sources to support biopharmaceutical reputed company and clinical trial requests.

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 different members of the arenaflex clinical trial team to deliver significant insights from real-world, clinical, and other data sources to support biopharmaceutical reputed company and clinical trial requests.
  • Clean, transform, and store data into an integrated data lake for future analysis and broader team utilization.
  • reputed company data mining and statistical analysis to analyze reputed company/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 execution of outcomes research studies.
  • Ensure high-quality, comprehensive, and readily interpretable predictions from reputed company studies 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

  • 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, reputed company, 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 reputed company 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 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 the growth and development of our employees. As a remote data scientist, you will have access to a range of training and development opportunities, including workshops, conferences, and online courses. You will also have the chance to work with a talented team of professionals who are passionate about using data to drive insights and inform decision-making.

Work Environment and Company Culture

arenaflex is a dynamic and innovative organization that values collaboration, creativity, and excellence. Our company culture is built on a foundation of respect, reputed company, and open communication. We reputed company in fostering a positive and inclusive work environment that encourages employees to reputed company and grow. As a remote data scientist, you will be part of a virtual team that is connected by a shared passion for using data to reputed company a positive impact on people's lives.

Compensation, Perks, and Benefits

arenaflex offers a competitive salary and benefits package, including health care benefits, prescription drug discounts, employee assistance programs, paid time off, retirement plans, and employee discounts. We also offer a range of perks, including flexible scheduling, wellness programs, and professional development opportunities.

Conclusion

If you are a motivated and reputed company data scientist who is passionate about using data to drive insights and inform decision-making in the clinical trials space, we encourage you to apply for this exciting opportunity at arenaflex. As a remote data scientist, you will be part of a dynamic team that is committed to excellence and innovation. You will have the chance to work on challenging projects, reputed company your skills and expertise, and reputed company a positive impact on people's lives. Apply now to join reputed company and take your career to the next level!

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