This employer will not sponsor applicants for employment visa status (e.g., H1-B) for this position.  All applicants must be currently authorized to work in the United States on a full-time basis.

Role Summary

Loopback Health is hiring an innovative and team-oriented RWD Data Analyst who will work closely with Loopback Real World Data and Data Operations teams. This position will give exposure to how healthcare data is used to support clinical research across various Life Sciences stakeholders, including pharmaceuticals, medical device, and regulatory functions.

Key Responsibilities:

Data Analysis & Solution Development

Analyze Loopback’s large-scale healthcare data warehouse (claims, EHR, pharmacy, etc.) to support answering clinical research feasibility questions across various therapy areas.
Assist in developing reporting tools that help non-technical stakeholders understand the data asset.
Synthesize and communicate analytical findings to team members.

Cross-Functional Collaboration & Continuous Improvement

Collaborate with Sales, Client Success, Product, and Operations teams to improve data quality, documentation, and product features.
Gather and document customer feedback to inform future data product development.

Qualifications

Required:

Bachelor’s degree (completed or working towards) in a quantitative or life sciences field (e.g., Statistics, Bioinformatics, Epidemiology, Computer Science, Pharmacy, Public Health, or related).
Exposure to SQL and at least one scripting/statistical language (Python, R).
Exceptional problem-solving skills with the ability to break down ambiguous client questions into actionable analyses.
Strong communication skills, both verbal and written, with an ability to explain complex data concepts to non-technical audiences.
Comfortable working in a fast-paced, cross-functional team environment.

Soft Skills

Data-driven and analytically rigorous, with a focus on delivering client value.
Creative, resourceful, and comfortable with ambiguity.
Strong collaborator who thrives in a team-oriented, rapidly evolving environment.
Interest in using AI-assisted tools for data analysis, coding, or workflow efficiency

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.

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