Experienced Data Scientist – Real-World Evidence and Analytics Expert

Join arenaflex, a leading healthcare and retail company, in shaping the future of medical trials and real-world evidence. Are you a data-driven professional with a passion for analytics and a desire to make a meaningful impact in the healthcare industry? Do you have a strong background in data science, statistics, and programming languages such as R, Python, or SQL? If so, we invite you to apply for the Experienced Data Scientist position at arenaflex.

About arenaflex

arenaflex is a leading healthcare and retail company with a rich history of caring for communities. As a part of Walgreens Boots Alliance, Inc., we are committed to creating more joyful lives through better health. With over 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, we serve nearly 10 million customers every day. Our 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 medically underserved populations.

Job Summary

As an Experienced Data Scientist at arenaflex, you will be responsible for producing high-quality, actionable insights from real-world evidence (RWE) and real-world data (RWD) to support biopharmaceutical companies and medical trials. You will work closely with the Scientific Affairs group to design and execute advanced analytics strategies, develop predictive models, and create data visualizations to inform business decisions. This is an exciting opportunity to join a team of talented professionals who are passionate about using data science to drive innovation and improve patient outcomes.

Key Responsibilities

* Develop and maintain advanced analytics models and algorithms to analyze RWE and RWD

• Design and execute data visualizations, reports, and dashboards to communicate insights to stakeholders
• Collaborate with cross-functional teams to develop and implement data-driven solutions
• Conduct due diligence on new RWE and RWD companies and evaluate their quality and relevance
• Develop and maintain expertise in RWE and RWD standards, terminologies, and ontologies
• Stay up-to-date with emerging trends and technologies in data science and analytics
• Participate in the development of arenaflex's data science strategy and roadmap

Essential Qualifications

* Bachelor's degree in a quantitative or computational field (e.g., mathematics, statistics, computer science, engineering)

• Minimum 4 years of experience in a quantitative or computational role
• Proficiency in R, Python, or SQL programming languages
• Experience in designing and executing strong and reproducible statistical analyses in the context of epidemiology and observational studies with healthcare data
• Knowledge of common statistical testing methods, including generalized linear models, classification and regression trees, decision trees, unsupervised learning, time series analysis, and survival analysis
• Experience processing large datasets from diverse data sources
• Experience working with covered patient health data
• Knowledge of at least one business intelligence tool (e.g., Tableau, Power BI, Alteryx, Spotfire)

Preferred Qualifications

* Ph.D. or Master's degree in a quantitative or computational field (e.g., statistics, computer science, mathematics, systems engineering)

• Expertise in electronic medical records (EMR) and health information technology (HIT)
• Experience with disease registries and policy claims databases
• Knowledge of medical information standards, clinical terminologies, and managed vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode)
• Experience with Good Clinical Practice (GCP) and/or regulatory compliance guidelines for RWE research or clinical trials (e.g., ISO, MDD/MDR, CFR)
• Experience working with 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, and computational statistics
• Understanding of machine learning 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 coverage
• 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

How to Apply

If you are a motivated and detail-oriented data scientist with a passion for analytics and a desire to make a meaningful impact in the healthcare industry, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for this role. Apply for this job