Jobs
Real World Evidence (RWE) Analyst
Santa Monica, CA 90404
6 Months, Contract
Completely Remote
Job Summary
- Job Title:
- Real World Evidence (RWE) Analyst
- Posted Date:
- May 19, 2026
- Duration:
- 6 Months, Contract
- Shift(s):
-
08:00 - 16:00
- Salary ($):
- 75.00 - 83.00 per Hourly (compensation based on experience and qualifications)
- We care about you! Explore Rangam’s benefits information
Talk to our Recruiter
- Name:
- Rajgurusingh Azad
- Email:
- Rajgurusingh@rangam.com
- Phone:
- 650-720-4087
Description
Job Title: Contractor - Real World Evidence (RWE) Analyst
Location: Santa Monica or remote
Job Description:
- The RWE Senior Manager will contribute to the Client Real-World Evidence/Health Economic Outcomes Research (RWE/HEOR) Team as part of an effort to contribute to the strategies of the broader Client Evidence Generation Team, which will include the conduct of timely, relevant, and rigorous analysis of real-world data (RWD) to address critical research questions and contribute to cross-functional initiatives.
- The RWE Senior Manager will be responsible for developing, reviewing, and providing feedback on study documents, such as protocols and statistical analysis plans, and executing planned data analyses using observational registry databases.
- The RWE Senior Manager will work closely with project teams to manage timelines and workflows, and to communicate results and updates to internal cross-functional stakeholders, including people from Client Biometrics, Client Clinical Operations, and Client Safety. Familiarity with the multiple myeloma disease landscape will be crucial to performing well in this role.
- The RWE Senior Manager will have access to real-world databases licensed across client and act as stewards of client’s best research practices, standards, and methodologies underlying the use of RWE.
Key Responsibilities:
- Support development of and provide critical appraisal of study protocols for research projects using RWD (e.g., medical claims, EHR, and observational registry databases)
- Lead or support development of statistical analysis plans in collaboration with internal stakeholders (e.g., Biometrics and programming team members)
- Conduct data reviews for primary/secondary data collected to ensure quality and reliability
- Communicate study results with a broader internal cross-functional audience
- Adapt performance metrics and dashboards for RWE projects
- Support preparation of reports and/or publication materials (e.g., abstracts, manuscripts)
- Support cross-functional initiatives to develop and refine internal procedures, workflows, and best practices
Basic Qualifications
- Master’s degree in Epidemiology, Biostatistics, Statistics or related discipline from an accredited institution and 4+ years of experience working with a broad range of RWD, in academia, at a contract research organization, or in the biopharmaceutical industry
OR
- Bachelor’s degree in Epidemiology, Biostatistics, Statistics or related discipline from an accredited institution and 6+ years of experience working with a broad range of RWD, in academia, at a contract research organization, or in the biopharmaceutical industry
Strongly Preferred Qualifications:
- Experience with oncology research in observational registry RWD
- Familiarity with multiple myeloma disease landscape
- In-depth understanding of the principles of epidemiologic research methods and statistical concepts in support of the analyses and demonstrated proficiency in statistical analysis programming languages commonly used in life sciences (e.g., SAS, R)
- Experience working with EHR databases (e.g., IQVIA, Flatiron)
Optional Qualifications:
- 4+ years of oncology research experience highly preferred
- In-depth knowledge of claims-based RWD (e.g., HealthVerity, Optum) and prior experience of using claims-based RWD in oncology research
- Prior experience of using RWD for RWE in regulatory applications, post-marketing studies, and pharmacovigilance
- Experience with external control arm (ECA) methodologies
- Experience in biopharmaceutical industry
As part of our recruitment process, we may use automated tools or AI-enabled technologies to assist with resume screening and candidate matching. These tools help our recruitment team review applications more efficiently, but they do not make hiring decisions. All final decisions are made by human reviewers.