Lead Analyst, Real World Evidence (RWE) US Remote Based

Davita Inc.; Durham (NC); Remote; USD 95,000 - 115,000; Full time

Job summary

A leading healthcare company is seeking a Lead Analyst, Real World Evidence to lead programming and analysis projects. This role offers the opportunity to create a profound impact on patients' lives by utilizing real-world data to drive insights and support decision-making processes. Ideal candidates will have robust analytical skills and experience in the pharmaceutical industry, showcasing the ability to handle diverse data sources effectively in a collaborative and innovative environment.

Benefits

Comprehensive benefits including Medical, Dental, Vision, Life, STD/LTD

401(K) plan

Paid time off (PTO) or Flexible time off (FTO)

Company bonus where applicable

Qualifications

• 5-7 years of RWE analysis experience in CRO or pharmaceutical industry.
• Experience with EHR/Claims databases like Optum and Marketscan.
• Ability to communicate findings clearly to non-technical audiences.

Responsibilities

• Provide programming support for real-world data analysis.
• Develop programming specifications and validate analysis outputs.
• Communicate project status effectively to stakeholders.

Skills

RWE analysis

SAS programming

SQL programming

Communication

Education

Bachelor's or Master's degree in Computers, Engineering, Statistics, or related fields

Tools

SAS

SQL

R

Python

Job description

Are you ready to discover your extraordinary potential at Fortrea? A career here provides the unique chance to create a lasting impact and difference in patients' lives. Joining our team will offer you a rewarding career, an opportunity to work in a high-energy, innovative & collaborative workplace, along with access to comprehensive benefits.

We are seeking a Lead Analyst, Real World Evidence (RWE) (US Remote) to lead projects and project teams for providing programming and analysis support for Real World Evidence projects for Fortrea clients. Candidate should have good understanding of the various sources on Real World Data to be used in the analysis. Training and mentoring the less experienced staff.

Summary of Responsibilities:

• Provide programming support for the analysis of real-world data across diverse sources including medical and pharmacy claims data, hospital data, electronic medical record data, and prospective observational study data.
• Contribute to the development of programming specifications based on analysis requirements and source data.
• Validate and develop graphs and tables primarily for exploratory investigations, adapting to evolving analysis requirements.
• Ensure excellence in the programming of analysis-ready datasets, tables, listings, and figures, including associated validation work.
• Communicate accurate and timely status updates to project team members.
• Foresee potential issues and impact on project timeline and provide suggestions on best path forward for engagement success.
• Communicate with internal and external stakeholders including responding to different communication styles, as well as a proven ability to build robust and sustainable customer relationships.
• Identify processes within programming that will increase productivity, quality, and efficiency.
• Respond to QA and client audits, and support qualification audits.
• All other duties as needed or assigned.

Qualifications (Minimum Required):

• Bachelor's or Master's degree in Computers, Engineering, Statistics, Health Informatics, Life Sciences, Mathematics, Economics, or Econometrics.
• Fortrea may consider relevant and equivalent experience in lieu of educational requirements.

Experience (Minimum Required):

• 5-7 years of RWE analysis experience in the CRO or pharmaceutical industry.
• Experience in handling data from EHR/Claims databases (Optum, Marketscan, Flatiron etc.) is required.
• Proficiency in SAS and SQL programming.
• Ability to take detailed RWE study results and communicate them in a clear, non-technical manner to internal cross-functional teams, using language that resonates with the teams, while maintaining the integrity of key findings.

Preferred Experience:

• Experience in programming languages such as R and Python.
• Experience with handling big data, non-standard/new data, and complex data.
• Expertise in creating various types of graphs for data presentation.
• Experience in working with real-world data from health insurance claims, retrospective analyses, manual chart reviews, prospective observational studies, and pragmatic clinical trials.
• Good understanding of advanced statistical and econometric methods in theory and practice.
• Ability to work effectively in a constantly changing, diverse and matrix environment.

Pay Range: USD $95,000- $115,000 annually

Benefits: All job offers will bebased on a candidate's skills and prior relevant experience, applicabledegrees/certifications,as well as internal equity and market data.Regular, full-time or part-time employees working 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(K), Paid time off (PTO) or Flexible time off (FTO), Company bonus where applicable.

Application Deadline: June 30, 2025

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