RWE - Real World Evidence Lead Researcher

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 RWE - Real World Evidence Researcher 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

Education

Pay Range

The typical pay range for this role is

$118,450.00 - $260,590.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include :

Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan .

No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit https : / / jobs.cvshealth.com / us / en / benefits

We anticipate the application window for this opening will close on : 11 / 04 / 2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex / gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.