Experienced Full Stack Data Scientist – Real-World Evidence (RWE) and Clinical Data Science

At arenaflex, we're on a mission to revolutionize the way we approach healthcare and pharmaceutical research. As a seasoned Data Scientist, you'll play a pivotal role in producing Real-World Evidence (RWE) and driving business decisions through cutting-edge analytics and innovative processes. Join our team of experts and contribute to shaping the future of healthcare.

About arenaflex

arenaflex is a leading healthcare and retail company with a rich history of caring for communities. With a presence in 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, providing a wide range of pharmacy and healthcare services, including those that promote equitable access to care for medically underserved populations.

Job Responsibilities

As a Data Scientist on our team, you'll be responsible for:

• Producing high-quality, standardized, and evaluation-ready patient cohorts from in-house data properties or certified systems, analyzing and interpreting results, and contributing to 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 clinical 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 about patient populations and treatment outcomes
• 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

Essential Qualifications

* Bachelor's degree or graduate degree and a minimum of four years of experience in a quantitative or computational role

• Four 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 with 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

Career Growth Opportunities and Learning Benefits

At arenaflex, we believe in investing in our employees' growth and development. As a Data Scientist, you'll have access to:

• Ongoing training and professional development opportunities
• Collaborative and dynamic work environment
• Opportunities for career advancement and growth
• Recognition and rewards for outstanding performance
• Flexible work arrangements and remote work options

Work Environment and Company Culture

arenaflex is committed to creating a diverse, inclusive, and supportive work environment. Our company culture values:

• Collaboration and teamwork
• Innovation and creativity
• Continuous learning and growth
• Respect and empathy for all employees
• Work-life balance and flexibility

Compensation, Perks, and Benefits

arenaflex offers a competitive compensation package, including:

• Salary range: $26-35/hour
• Comprehensive benefits package, including medical, dental, vision, and life insurance
• Retirement savings plan (401(k))
• Employee stock purchase plan
• Paid time off (PTO) and holidays
• Paid parental leave (PPL)
• Transportation benefit plan
• Employee store discount
• Voluntary life and personal accident insurance

How to Apply

If you're a motivated and experienced Data Scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We can't wait to hear from you!

Equal Employment Opportunity

arenaflex is an equal employment opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive and respectful work environment that values diversity, equity, and inclusion. Apply for this job