Introduction to arenaflex
arenaflex is a leading organization in the healthcare industry, dedicated to improving patient outcomes and advancing medical research. As a pioneer in the field, arenaflex is committed to harnessing the power of data science and technology to drive innovation and inform decision-making. With a strong focus on real-world evidence (RWE) and clinical trials, arenaflex is seeking a highly skilled and experienced Data Scientist to join its team.
Job Overview
In this exciting role, you will be responsible for producing high-quality, certifiable RWE through cutting-edge analysis and innovative methodologies in the clinical trials space. As a vital member 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, working closely with cross-functional teams to deliver meaningful 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 analysis methodology.
- Collaborate 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 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
To be successful in this role, you will need:
- 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, 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 required, the following qualifications are highly desirable:
- 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 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, 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 and Learning Opportunities
At arenaflex, we are committed to supporting the growth and development of our employees. As a Data Scientist, you will have access to a range of training and development opportunities, including:
- Professional development courses and workshops.
- Mentorship programs.
- Opportunities to attend industry conferences and events.
- Access to cutting-edge tools and technologies.
Work Environment and Company Culture
arenaflex is a dynamic and innovative organization that values collaboration, creativity, and diversity. Our company culture is built on a foundation of:
- Respect and inclusivity.
- Open communication and transparency.
- Continuous learning and improvement.
- Recognition and reward for outstanding performance.
Compensation, Perks, and Benefits
As a Data Scientist at arenaflex, you can expect a competitive salary and benefits package, including:
- A hourly rate of $26.
- 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 new challenge, we encourage you to apply for this exciting opportunity at arenaflex. With a strong focus on real-world evidence and clinical trials, this role offers the chance to make a meaningful impact in the healthcare industry. Don't miss out on the opportunity to join our dynamic team and contribute to the development of innovative solutions that improve patient outcomes. Apply now to take the first step towards a rewarding and challenging career at arenaflex.
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