What are the responsibilities and job description for the RWD Data Analyst Intern position at Loopback Health?
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
Required:
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.
- 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.
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.
- 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