**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 crucial 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, covered in the U.S. Retail Pharmacy and U.S. Healthcare segments of arenaflex Boots Alliance, Inc. (Nasdaq: arenaflex), an included healthcare, pharmacy and retail chief with a 170-year history of caring for communities. arenaflex's mission is to create more joyful lives through better health. 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. To meet the needs of customers and patients, arenaflex provides a real omnichannel experience, with fully integrated physical and virtual systems supported by state-of-the-art technology to deliver high-quality services and products in communities nationwide.

• *Job Responsibilities**

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

• Producing Real-World Evidence (RWE) via superior analytics and progressive processes inside the medical trials space
• Working closely with the Scientific Affairs group to provide actionable insights from real-world, medical and other data assets to support biopharmaceutical RWE and clinical trial requests
• Partnering with other members of the arenaflex Clinical Trial group to provide insights on unmet needs, safe and effective treatments in specific disease states, treatment patterns and healthcare financial burden, and value effectiveness modeling
• 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 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, 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 Business 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 collaboration, innovation, and growth
• arenaflex is committed to creating a culture of inclusion, diversity, and equity
• arenaflex provides opportunities for professional development and career advancement
• arenaflex offers a comprehensive benefits package, including health, dental, and vision insurance, retirement savings plan, and paid time off
• arenaflex is a leader in the healthcare and retail industry, with a strong reputation for quality and customer service

• *How to Apply**

If you are a motivated and experienced data scientist looking for a new challenge, please apply to this role by clicking the link below. arenaflex is an equal opportunity employer and welcomes applications from diverse candidates.