**Experienced Full Stack Data Scientist – Real-World Evidence (RWE) and Analytics Expert – arenaflex Remote Jobs $26/Hr**

• *Join arenaflex, a leading healthcare and retail company, in its mission to create more joyful lives through better health. As an Experienced Full Stack Data Scientist, you will play a critical role in producing Real-World Evidence (RWE) via superior analytics and progressive processes inside the medical trials space.**

• *About arenaflex**

arenaflex (www.arenaflex.com) is a leading healthcare and retail company with a 170-year history of caring for communities. Operating almost 9,000 retail locations across America, Puerto Rico, and the U.S. Virgin Islands, arenaflex is proud to be a community health destination serving almost 10 million customers every day. arenaflex pharmacists play a vital role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services, including those that promote equitable access to care for the nation's medically underserved populations.

• *Job Responsibilities**

As an Experienced Full Stack Data Scientist, you will be responsible for:

• Producing standardized, analysis-ready patient cohorts from in-house data properties or certified systems, examining and interpreting results, and assisting in the development of analytics strategy
• Partnering with other members of the arenaflex Clinical Trial group to provide actionable insights from real-world, medical, and other data assets to support biopharmaceutical RWE and medical trial requests
• Cleaning, transforming, and storing data into an integrated data lake for future analysis and broader team consumption
• Performing data mining and statistical analysis to investigate RWE/RWD to uncover new insights concerning patient populations and treatment results
• Supporting the development of real-world data, analytics, and platform capabilities, applying advanced analytics and tools to address medical questions from biopharmaceutical companies
• Collaborating on the design and execution of results reports research
• Ensuring high-quality, rigorous, and easily 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 companies and performing RWD quality tests to inform investment decisions

• *Key Qualifications**

• Bachelor's degree or graduate degree and a minimum of 4 years of experience in a quantitative or computational function
• 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, classification 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 data
• Knowledge of at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other BI intelligence tools

• *Preferred Qualifications**

• Ph.D., Master's degree in statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or related field
• Expertise in EMR/Health IT, disease registries, and 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 healthcare data collection, particularly those enabled by technology systems and/or solutions
• Experience with experimental design, Bayesian modeling, sequential data, computational statistics
• Understanding of data and systems learning techniques, ability to maintain self-learning of technical and non-technical skills

• *Benefits**

• Company-Paid Life Insurance
• Medical, Prescription Drugs, Dental, and Vision
• 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 & Personal Accident Insurance

• *Why Join arenaflex?**

• arenaflex offers a dynamic and supportive work environment that fosters growth and development
• arenaflex is committed to creating more joyful lives through better health, and we believe that our employees are essential to achieving this mission
• arenaflex offers competitive compensation and benefits packages to support the well-being of our employees
• arenaflex is a leader in the healthcare and retail industry, and we offer opportunities for professional growth and development

• *How to Apply**

If you are a motivated and experienced data scientist looking for a new challenge, please apply to this position by clicking on the link below:

We look forward to hearing from you!