RWD Data Analyst

Loopback LLC

$70K — $95K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or in-progress degree in quantitative/life sciences (e.g., Statistics, Bioinformatics)
  • Exposure to SQL and at least one scripting/statistical language (Python, R)
  • Exceptional problem-solving skills for actionable analyses
  • Strong verbal and written communication skills for explaining data concepts
  • Ability to work in fast-paced, cross-functional teams

Responsibilities

  • Analyze large-scale healthcare data to support clinical research feasibility questions
  • Develop reporting tools for non-technical stakeholders
  • Communicate analytical findings to team members
  • Collaborate with Sales, Client Success, Product, and Operations teams to enhance data quality
  • Gather customer feedback to inform data product development

Benefits

  • Innovative work environment engaging in healthcare data and analytics
  • Collaboration across various teams and functions
  • Exposure to real-world data usage in clinical research
  • Opportunity to contribute to meaningful healthcare outcomes
  • Use of advanced AI-assisted tools for analysis and efficiency
Full 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.

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


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