At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.
As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

POSITION SUMMARY

Join this dynamic and growing team! CVS Healthspire Life Sciences Solutions Real-World Evidence organization offers analytical and advisory services that meet the market and clinical challenges faced by pharmaceutical, biotech, and device companies. Our services use real world data, advanced technologies, and professional know-how to illuminate therapeutic and economic value. We offer collaborative resources across CVS to promote forward-looking research into real-world outcomes and the realities of therapeutic use in genuine clinical settings. We also collaborate with internal business partners, government agencies and academic institutions to conduct public health, epidemiology, RWE, Health Economics and Outcomes Research (HEOR) and safety surveillance studies by leveraging the rich and extensive data assets within CVS.
In the Lead Data Scientist role, you will acquire and analyze raw data and create large and complex analytic datasets to support project needs. This role will support the extraction, transformation, and integration of data from a wide variety of data sources. You will use your programming expertise to create complex algorithms, applications, and data visualizations. You will be responsible for the overall quality of data and instrumental in identifying gaps in the data. The role will require working with and mentoring junior analysts on the team. You will conduct statistical and methodological activities in design, analysis, interpretation, and dissemination on a wide variety of RWE studies. Client interfacing, project timelines and deliverables management are an integral part of this role.

Your duties will include:

• Contribute to study design, including sample size estimation, power analysis, and research relevant literature.
• Develop and review protocols and statistical analysis plans.
• Create and evaluate the data needs of assigned projects and assures the high quality of the deliverables.
• Develop data structures to organize, collect and standardize data that helps generate insights.
• Explore, examine, and interpret large volumes of data in various forms.
• Perform analyses of structured and unstructured data to solve research problems.
• Conduct descriptive and advanced statistical modeling.
• Present analytic results internally and externally. Uses data visualization techniques to effectively communicate analytical results as needed.
• Prepare research abstracts, manuscripts, and reporting development.
• Document projects including project objectives, data gathering and processing, detailed set of results and analytical metrics.

This is a remote role and candidates can live anywhere in the US.

REQUIRED QUALIFICATIONS

• Master’s Degree in biostatistics, health economics, outcome research, epidemiology, or other related fields with minimum of 5+ years of experience if MS; or PhD with 1+ year experience in:
• Working with claim data, electronic medical record data, or other real- world health data, and have a strong understanding of analytics and how it is leveraged within the healthcare/retail industry.
• Leading project management activities, including communications within project teams, stakeholder management, and leadership updates.
• Extracting actionable insights from the analysis and interpreting outcomes of complex models to present to diverse audiences including technical, non-technical, and senior leaders.
• Advanced statistical modeling, propensity score matching, etc.
• SAS, R, or Python at the proficiency level
• Excellent written and oral communication skills, ability to interact with and influence decision-making

PREFERRED QUALIFICATIONS

• Master’s Degree with minimum of 7+ years of experience if MS; or PhD with 3+ year experience in biostatistics, health economics, outcome research, epidemiology, or other related fields

EDUCATION

• Master’s Degree in biostatistics, health economics, outcome research, epidemiology, or other related fields

• Contribute to study design, including sample size estimation, power analysis, and research relevant literature.
• Develop and review protocols and statistical analysis plans.
• Create and evaluate the data needs of assigned projects and assures the high quality of the deliverables.
• Develop data structures to organize, collect and standardize data that helps generate insights.
• Explore, examine, and interpret large volumes of data in various forms.
• Perform analyses of structured and unstructured data to solve research problems.
• Conduct descriptive and advanced statistical modeling.
• Present analytic results internally and externally. Uses data visualization techniques to effectively communicate analytical results as needed.
• Prepare research abstracts, manuscripts, and reporting development.
• Document projects including project objectives, data gathering and processing, detailed set of results and analytical metrics