RWD Data Analyst

loopbackanalytics; Dallas (TX); On-site; USD 70,000 - 90,000; Full time

Job summary

loopbackanalytics is seeking an innovative RWD Data Analyst to work closely with healthcare data supporting clinical research across various Life Sciences stakeholders. The ideal candidate should be able to analyze large-scale healthcare data, assist in developing reporting tools, and communicate findings effectively.

The role emphasizes collaboration with cross-functional teams to enhance data quality and inform future product development. Candidates should have a relevant Bachelor's degree and exposure to SQL and scripting languages like Python or R.

Qualifications

• Bachelor’s degree (completed or working towards) in a quantitative or life sciences field.
• Exposure to SQL and at least one scripting/statistical language (Python, R).
• Exceptional problem-solving skills.

Responsibilities

• Analyze Loopback’s large-scale healthcare data warehouse to support clinical research.
• Assist in developing reporting tools for non-technical stakeholders.
• Synthesize and communicate analytical findings to team members.

Skills

SQL

Python

R

Problem-solving

Communication

Education

Bachelor's degree in a quantitative or life sciences field

Job description

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.

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

• 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.