Introduction to arenaflex and the Role
arenaflex is a leading integrated healthcare, pharmacy, and retail company with a 170-year history of caring for communities. Our purpose is to create more joyful lives through better health. We operate nearly 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, serving almost 10 million customers every day. As a Data Scientist for Real-World Evidence and Analytics at arenaflex, you will play a vital role in producing Real-World Evidence (RWE) via superior analytics and progressive processes inside the medical trials space. You will be a fundamental part of the Scientific Affairs group, responsible for driving internal and external decision-making through the application of advanced data technology and era.
Job Responsibilities
In this position, you will conduct state-of-the-art data analysis to assist in addressing critical business questions. Your key responsibilities will include:
- Processing raw data sets to supply standardized, evaluation-ready patient cohorts from in-house data assets or certified systems, examining and interpreting results, and assisting in shaping analytics strategy
- Partnering with other members of the arenaflex Clinical Trial group to supply actionable insights from real-world, clinical, and other data assets to support biopharmaceutical RWE and clinical trial requests
- Cleaning, transforming, and storing data into an integrated data lake for future analysis and broader group consumption
- Performing data mining and statistical analysis to investigate RWE/RWD to locate new insights concerning patient populations and treatment outcomes
- Supporting the development of real-world data, analytics, and platform capabilities, applying advanced analytics and tools to address clinical questions from biopharmaceutical companies
- Collaborating on the design and execution of outcomes research studies
- Ensuring high-quality, rigorous, and without-difficulty interpretable deliverables from RWE research and analyses
- Building dashboards, analytics, and reports for internal and external consumption
- Conducting due diligence on new real-world data vendors and powering RWD quality tests to inform investment decisions
Essential Qualifications
To be successful in this role, you will need:
- A Bachelor's degree or graduate degree and a minimum of 4 years of experience in a quantitative or computational role
- 4 years of experience in R, Python, or SQL
- Experience in designing and executing strong and reproducible statistical analyses within the context of epidemiology and observational studies with healthcare data
- Knowledge of common statistical testing methods, including generalized linear models, class and discrimination, decision trees, unsupervised learning, time series analysis, and survival analysis
- Experience processing large data from diverse 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
Preferred candidates will have:
- A 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
- Expertise in clinical data standards, clinical terminologies, and managed 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 research or clinical trials (e.g., ISO, MDD/MDR, CFR)
- Experience working on alternative data sources and alternative methods of clinical data collection, particularly those enabled by technology systems and/or solutions
- Experience with experimental design, Bayesian modeling, sequential data, computational statistics
- Understanding of machine learning and systems learning techniques, ability to maintain 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 for Real-World Evidence and Analytics, you will have the opportunity to work on complex and challenging projects, collaborating with cross-functional teams to drive business outcomes. You will also have access to training and development programs, including workshops, conferences, and online courses, to help you stay up-to-date with the latest technologies and methodologies in the field.
Work Environment and Company Culture
arenaflex is a dynamic and innovative company that values diversity, equity, and inclusion. We are committed to creating a work environment that is inclusive, respectful, and supportive of all employees. Our company culture is built on a foundation of integrity, transparency, and accountability, and we strive to make a positive impact on the communities we serve.
Compensation, Perks, and Benefits
arenaflex offers a competitive compensation package, including a salary range of $26-35 per hour. We also offer a range of benefits, including:
- Company-paid life insurance
- Medical, prescription drugs, dental, and vision insurance
- Retirement savings plan – 401(k)
- Employee stock purchase plan
- Paid time off (PTO)
- Holidays
- Paid parental leave (PPL)
- Transportation benefit plan
- Employee store discount
- Voluntary life and personal accident insurance
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. As a Data Scientist for Real-World Evidence and Analytics at arenaflex, you will have the chance to work on complex and impactful projects, collaborating with cross-functional teams to drive business outcomes. You will also have access to training and development programs, a competitive compensation package, and a range of benefits. Don't miss this opportunity to join a dynamic and innovative company that is committed to making a positive impact on the communities we serve. Apply now to become a part of the arenaflex team!
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