RWD Data Analyst Intern

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 intern 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. This semester-long, paid internship (20+ hours/week) with flexible scheduling, offering hands-on experience alongside senior analysts in a collaborative remote/hybrid environment based in Dallas. Provides strong mentorship, professional development, and potential for extension, with a proven track record of converting interns into full-time contributors.

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.