Experienced Full Stack Data Scientist – Clinical Trials and Real-World Evidence
At arenaflex, we're on a mission to revolutionize the way we approach clinical trials and real-world evidence. As a seasoned Data Scientist, you'll play a pivotal role in shaping our research and development efforts, leveraging cutting-edge analytics and machine learning techniques to drive business growth and improve patient outcomes.
About arenaflex
arenaflex is a leading American pharmaceutical retailer and company, founded in 1901 in Chicago, Illinois. With a rich history of innovation and a commitment to excellence, we've grown to become one of the largest drug store chains in the United States. Our diverse portfolio of products and services includes prescription drugs, over-the-counter drugs, health and wellness products, beauty products, photo shoots, and more.
Job Summary
We're seeking an experienced Full Stack Data Scientist to join our Clinical Trials and Real-World Evidence team. As a key member of our research and development team, you'll be responsible for designing and implementing advanced analytics and machine learning solutions to drive business growth and improve patient outcomes. If you're passionate about data science, clinical trials, and real-world evidence, we want to hear from you!
Key Responsibilities
* Mine crude informational collections: Extract, transform, and load (ETL) data from various sources, including in-house databases and external data providers, to create a unified and standardized dataset for analysis.
- Analyze and interpret results: Apply advanced statistical and machine learning techniques to identify patterns, trends, and correlations in the data, and provide actionable insights to inform business decisions.
- Collaborate with cross-functional teams: Work closely with clinicians, researchers, and other stakeholders to design and implement studies, and to develop and disseminate research findings.
- Develop and maintain data pipelines: Design, implement, and maintain data pipelines to ensure seamless data flow and integration across systems and teams.
- Create data visualizations and reports: Develop interactive dashboards, reports, and visualizations to communicate complex data insights to non-technical stakeholders.
- Stay up-to-date with industry trends: Participate in conferences, workshops, and online forums to stay current with the latest advancements in data science, machine learning, and clinical trials.
Essential Capabilities
*
2+ years of experience
in R, Python, or SQL programming languages
Experience in designing and executing
powerful and reproducible statistical analyses, including study of disease transmission and observational research with healthcare data
Knowledge of common statistical testing strategies
, including generalized linear models, regression, decision trees, machine learning, time series analysis, and survival analysis
Experience handling large datasets
from various sources, including electronic health records (EHRs), claims data, and other healthcare data sources
Experience working with protected patient health information
(PHI) and adhering to relevant regulations and guidelines
Familiarity with at least one business intelligence (BI) tool
, such as Tableau, Power BI, Alteryx, or Spotfire
Preferred Capabilities
*
Mastery in EMR/Health IT
, disease libraries, and claims data sets
Knowledge of clinical data principles
, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode)
Experience in Good Clinical Practice (GCP)
and relevant regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR)
Experience working with alternative data sources
and alternative methods for clinical data collection, particularly those enabled by technology platforms and solutions
Experience with trial design
, Bayesian modeling, sequential data, computational statistics, and other advanced statistical techniques
Understanding of machine learning and AI strategies
, with the ability to continue self-learning of technical and non-technical skills
About Working at arenaflex
At arenaflex, we're committed to creating a work environment that's inclusive, supportive, and empowering. We believe in fostering a culture of innovation, collaboration, and continuous learning, where our employees can grow and thrive. As a Data Scientist at arenaflex, you'll have access to:
Competitive compensation and benefits
, including health insurance, retirement plans, and paid time off
Professional development opportunities
, including training programs, skills development initiatives, and the chance to move up the corporate ladder
Flexible scheduling
, depending on your specific job role, to meet different employee needs
Wellness programs
, designed to promote employee health and well-being, including fitness challenges, health screenings, and wellness resources
Employee discounts
, on products and services sold in arenaflex stores, including discounts on over-the-counter medications, beauty products, and more
How to Apply
If you're passionate about data science, clinical trials, and real-world evidence, and you're looking for a challenging and rewarding career opportunity, we want to hear from you! Please submit your application, including your resume and a cover letter, through our website. We can't wait to hear from you! Apply Now! Apply for this job