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 critical 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 with a 170-year history of caring for communities. 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:
- Producing standardized, analysis-ready patient cohorts from in-house data properties or certified systems, examining and interpreting results, and assisting in the development of 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 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 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 BI 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 growth and development
- arenaflex is committed to creating more joyful lives through better health, and we believe that our employees are essential to achieving this mission
- arenaflex offers competitive compensation and benefits packages to support the well-being of our employees
- arenaflex is a leader in the healthcare and retail industry, and we offer opportunities for professional growth and development
How to Apply
If you are a motivated and experienced data scientist looking for a new challenge, please apply to this position by clicking on the link below: Apply Job! We look forward to hearing from you! Apply for this job