Experienced Full Stack Data Scientist – Real-World Evidence (RWE) and Analytics Expert – arenaflex Remote Jobs $26-35/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, covered in the U.S. Retail Pharmacy and U.S. Healthcare segments of arenaflex Boots Alliance, Inc., is an included healthcare, pharmacy, and retail chief with a 170-year history of caring for communities. arenaflex's purpose 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.

Job Responsibilities

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

• Providing standardized, evaluation-ready patient cohorts from in-house data properties or certified systems, examining and interpreting results, and assisting in forming 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 checks to inform investment decisions

Essential 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 Business Intelligence (BI) tools

Preferred Qualifications

* Ph.D., Master's degree in statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or related field

• Expertise in Electronic Medical Records (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 medical 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

Career Growth Opportunities and Learning Benefits

As an Experienced Full Stack Data Scientist at arenaflex, you will have opportunities to:

• Work on cutting-edge projects that drive innovation in the healthcare and retail industries
• Collaborate with a diverse team of experts in data science, analytics, and healthcare
• Develop your skills in advanced analytics, machine learning, and data visualization
• Participate in professional development programs and training sessions to stay up-to-date with industry trends and best practices
• Contribute to the development of arenaflex's data science and analytics capabilities, shaping the future of healthcare and retail

Work Environment and Company Culture

arenaflex is committed to creating a work environment that is inclusive, diverse, and supportive. As an Experienced Full Stack Data Scientist, you will be part of a team that values collaboration, innovation, and continuous learning. arenaflex offers a range of benefits and perks, including:

• 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

Compensation and Benefits

arenaflex offers a competitive compensation package, including a salary range of $26-35/hour, depending on experience and qualifications. In addition to the benefits listed above, arenaflex offers a range of perks and incentives to support your career growth and well-being.

How to Apply

If you are a motivated and experienced data scientist looking for a new challenge, apply now to join arenaflex's team of experts in data science and analytics. Click on the link below to register your interest and submit your application. Apply Job! Apply for this job