Experienced Full Stack Data Scientist – Real-World Evidence (RWE) and Analytics
Are you a highly skilled and motivated data scientist looking to join a dynamic team at careerzynith, a leading healthcare and retail company? Do you have a passion for leveraging advanced analytics and data science techniques to drive business growth and improve patient outcomes? If so, we invite you to apply for the Experienced Full Stack Data Scientist – Real-World Evidence (RWE) and Analytics position at careerzynith.
**About careerzynith**
careerzynith is a global healthcare and retail leader 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, careerzynith is proud to be a community health destination serving 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 the nation's medically underserved populations.
**Job Summary**
We are seeking an experienced full stack data scientist to join our Clinical Trial group at careerzynith. As a data scientist, you will be responsible for producing high-quality, actionable insights from real-world evidence (RWE) and real-world data (RWD) to support biopharmaceutical RWE and clinical trial requests. You will work closely with cross-functional teams to design and execute analytics strategies, develop and maintain data pipelines, and build dashboards and reports to support business decisions.
**Key Responsibilities**
* Develop and maintain data pipelines to extract, transform, and load (ETL) data from various sources, including in-house data properties and certified systems
* Design and execute advanced analytics and statistical models to analyze RWE/RWD and identify new insights about patient populations and treatment outcomes
* Collaborate with cross-functional teams to develop and implement analytics strategies that support business decisions and drive growth
* Build and maintain dashboards, reports, and other visualizations to communicate insights and results to stakeholders
* Conduct due diligence on new RWE companies and evaluate RWD quality to inform investment decisions
* Stay up-to-date with industry trends and advancements in data science and analytics, and apply this knowledge to improve processes and outcomes
**Essential Qualifications**
* Bachelor's degree or higher in a quantitative or computational field, such as computer science, mathematics, statistics, or engineering
* At least 4 years of experience in a quantitative or computational role, with a strong focus on data analysis and interpretation
* Proficiency in programming languages such as R, Python, or SQL, with experience in designing and executing strong and reproducible statistical analyses
* 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 working with large datasets from various sources, including electronic health records (EHRs), claims databases, and other healthcare data sources
* Familiarity with data visualization tools such as Tableau, Power BI, Alteryx, Spotfire, or other business intelligence (BI) tools
**Preferred Qualifications**
* Ph.D. or Master's degree in a field such as statistics, biostatistics, computer science, mathematics, or engineering
* Expertise in EMR/Health IT, disease registries, and claims databases
* Knowledge of clinical data 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 healthcare data collection, particularly those enabled by technology systems and/or solutions
* Familiarity with experimental design, Bayesian modeling, sequential data, and computational statistics
**Benefits**
* Competitive salary range of $26-$35/hour
* Comprehensive benefits package, including medical, prescription drugs, dental, and vision coverage
* Retirement savings plan (401(k)) with company match
* 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
**Why Join careerzynith?**
* Opportunity to work with a leading healthcare and retail company with a rich history of caring for communities
* Collaborative and dynamic work environment with a focus on innovation and teamwork
* Competitive salary and benefits package
* Opportunities for professional growth and development in a rapidly evolving field
* Chance to make a meaningful impact on patient outcomes and business growth through data-driven insights
**How to Apply**
If you are a motivated and experienced data scientist looking to join a dynamic team at careerzynith, please submit your application today. We value a great attitude and a willingness to learn above all, so don't hesitate to apply even if you don't meet every single requirement.
Apply for this job
**About careerzynith**
careerzynith is a global healthcare and retail leader 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, careerzynith is proud to be a community health destination serving 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 the nation's medically underserved populations.
**Job Summary**
We are seeking an experienced full stack data scientist to join our Clinical Trial group at careerzynith. As a data scientist, you will be responsible for producing high-quality, actionable insights from real-world evidence (RWE) and real-world data (RWD) to support biopharmaceutical RWE and clinical trial requests. You will work closely with cross-functional teams to design and execute analytics strategies, develop and maintain data pipelines, and build dashboards and reports to support business decisions.
**Key Responsibilities**
* Develop and maintain data pipelines to extract, transform, and load (ETL) data from various sources, including in-house data properties and certified systems
* Design and execute advanced analytics and statistical models to analyze RWE/RWD and identify new insights about patient populations and treatment outcomes
* Collaborate with cross-functional teams to develop and implement analytics strategies that support business decisions and drive growth
* Build and maintain dashboards, reports, and other visualizations to communicate insights and results to stakeholders
* Conduct due diligence on new RWE companies and evaluate RWD quality to inform investment decisions
* Stay up-to-date with industry trends and advancements in data science and analytics, and apply this knowledge to improve processes and outcomes
**Essential Qualifications**
* Bachelor's degree or higher in a quantitative or computational field, such as computer science, mathematics, statistics, or engineering
* At least 4 years of experience in a quantitative or computational role, with a strong focus on data analysis and interpretation
* Proficiency in programming languages such as R, Python, or SQL, with experience in designing and executing strong and reproducible statistical analyses
* 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 working with large datasets from various sources, including electronic health records (EHRs), claims databases, and other healthcare data sources
* Familiarity with data visualization tools such as Tableau, Power BI, Alteryx, Spotfire, or other business intelligence (BI) tools
**Preferred Qualifications**
* Ph.D. or Master's degree in a field such as statistics, biostatistics, computer science, mathematics, or engineering
* Expertise in EMR/Health IT, disease registries, and claims databases
* Knowledge of clinical data 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 healthcare data collection, particularly those enabled by technology systems and/or solutions
* Familiarity with experimental design, Bayesian modeling, sequential data, and computational statistics
**Benefits**
* Competitive salary range of $26-$35/hour
* Comprehensive benefits package, including medical, prescription drugs, dental, and vision coverage
* Retirement savings plan (401(k)) with company match
* 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
**Why Join careerzynith?**
* Opportunity to work with a leading healthcare and retail company with a rich history of caring for communities
* Collaborative and dynamic work environment with a focus on innovation and teamwork
* Competitive salary and benefits package
* Opportunities for professional growth and development in a rapidly evolving field
* Chance to make a meaningful impact on patient outcomes and business growth through data-driven insights
**How to Apply**
If you are a motivated and experienced data scientist looking to join a dynamic team at careerzynith, please submit your application today. We value a great attitude and a willingness to learn above all, so don't hesitate to apply even if you don't meet every single requirement.
Apply for this job