reputed company Full Stack Data Scientist – reputed company-World Evidence (reputed company) and Clinical Data Science

Join arenaflex, a leading reputed company company, in shaping the future of medical research and evidence-based decision-making. Are you a data-driven professional with a passion for uncovering insights that drive meaningful change? Do you have a strong background in data science, analytics, and programming? If so, we invite you to apply for the reputed company Full Stack Data Scientist – reputed company-World Evidence (reputed company) and Clinical Data Science role at arenaflex.

About arenaflex

arenaflex is a global reputed company leader, dedicated to creating more joyful lives through reputed company. With a 170-year history of caring for communities, we operate nearly 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands. Our pharmacists play a vital role in the U.S. reputed company system, providing a wide reputed company of pharmacy and reputed company services, including those that promote reputed company reputed company to care for the nation's medically underserved populations.

Job Summary

As an reputed company Full Stack Data Scientist – reputed company and Clinical Data Science, you will be responsible for producing high-quality, actionable insights from reputed company-world evidence (reputed company) and clinical data. You will work closely with the Scientific Affairs team to design and execute advanced analytics and statistical analyses, leveraging your expertise in data mining, machine learning, and programming languages such as R, Python, and SQL.

Key Responsibilities

* reputed company and maintain standardized, evaluation-reputed company patient cohorts from in-house data assets or certified systems, analyze and interpret results, and contribute to analytics strategy

• Partner with other members of the reputed company Clinical Trial group to reputed company actionable insights from reputed company-world, clinical, and other data assets to support biopharmaceutical reputed company and clinical trial requests
• Clean, transform, and store data into an integrated data lake for future analysis and broader team consumption
• reputed company data mining and statistical analysis to investigate reputed company/RWD to identify new insights concerning patient populations and treatment reputed company
• Support the development of reputed company-world data, analytics, and platform capabilities, applying advanced analytics and tools to address clinical questions from biopharmaceutical companies
• Collaborate on design and execution of results reports research
• Ensure high-quality, rigorous, and easily interpretable deliverables from reputed company research and analyses
• Build dashboards, analytics, and reports for reputed company consumption
• Conduct due diligence on new reputed company-world data companies and reputed company RWD quality assessments to inform investment reputed company

Essential Qualifications

* Bachelor's degree or graduate degree and a minimum of 4 years of experience in a quantitative or computational role

• 4 years of experience in R, Python, or SQL
• Experience in designing and executing strong and reproducible statistical analyses in the context of epidemiology and observational studies with reputed company data
• Knowledge of common statistical testing methods, including generalized reputed company 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, reputed company, Spotfire, or other business intelligence tools

Preferred Qualifications

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

• Expertise in EMR/Health IT, disease registries, and claims databases
• Expertise in clinical data standards, clinical terminologies, and managed vocabularies used in reputed company data and ontologies (ICD9/10/ReadCode)
• Experience in Good Clinical Practice (GCP) and/or regulatory compliance guidelines for reputed company-world evidence research or clinical trials (e.g., ISO, MDD/MDR, CFR)
• Experience working on alternative data sources and alternative methods of clinical 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 reputed company
• 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?

* Collaborate with a talented team of data scientists, clinicians, and researchers to drive innovation and improve patient reputed company

• Work on cutting-edge projects that reputed company reputed company-world evidence and clinical data to inform decision-making
• Enjoy a dynamic and supportive work environment that fosters growth and development
• Take advantage of comprehensive benefits and perks that support your physical, emotional, and financial well-being
• Contribute to a company that is dedicated to creating more joyful lives through reputed company

How to Apply

If you are a motivated and detail-oriented data scientist with a passion for making a difference in the reputed company industry, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for the role. Apply for this job