RWD Data Analyst

Norstella; Dover (DE); Remote; USD 65,000 - 95,000; Full time

Job summary

Norstella is seeking a mid-level Data Analyst for its Real-World Data (RWD) team. The role focuses on rigorous analysis of real-world healthcare data, evaluating source quality, and shaping data strategies for client engagements.

You will translate complex data requirements into actionable plans, advise on data structures, and collaborate with internal and client teams to drive high-quality insights and outcomes.

Qualifications

• Experience working with real-world healthcare data (RWD) and observational studies.
• Ability to evaluate data sources and translate requirements into analysis plans.
• Strong communication of data findings to both technical and non-technical stakeholders.

Responsibilities

• Serve as a data-analytic expert across RWD sources (claims, EHR/EMR, lab, NLP-derived).
• Assess data source suitability and provide criteria for inclusion/exclusion.
• Advise on data structures and delivery formats for projects and clients.
• Contribute domain expertise to product discussions and client needs.

Skills

RWD Analysis

Data Visualization

Statistical Thinking

Clinical Reasoning

Education

Bachelor's degree in a related field

Tools

SQL

Python

SAS

Job description

RWD Data Analyst

Company: Norstella

Location: Remote, United States

Date Posted: Nov 10, 2026

Employment Type: Full Time

Job ID: R-2224

Description

Why Norstella? Norstella unites market-leading companies that all have a shared goal of improving patient access. Each organization (Citeline, Evaluate, MMIT, Panalgo, and The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making.

Together, we help our clients:

• Assess the market need and competitive landscape
• Know precisely which drugs to prioritize in their portfolio
• Find out where the launch difficulties will be—before they’re difficulties
• Track and improve market access post-launch

By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. At Norstella, we don’t just deliver information and insights. We deliver answers you can act on.

About the Role

Norstella’s Real-World Data (RWD) team is seeking a mid-level Data Analyst with demonstrated expertise in real-world healthcare data. This role is designed for an analytically rigorous professional who applies critical thinking to each data engagement — evaluating source suitability, informing methodological decisions, and delivering outputs that reflect both technical precision and clinical reasoning.

The successful candidate will possess a thorough understanding of RWD source types and their respective limitations, and will be expected to make substantive, well-supported recommendations on data selection, inclusion and exclusion criteria, and analytical approach. This individual will serve as a trusted technical resource for internal teams and client-facing stakeholders, translating complex requirements into sound data strategies while proactively identifying risks and driving issues to resolution.

While the role requires strong technical proficiency, candidates are expected to bring a consultative orientation to their work — engaging with client needs, contributing to product decisions, and consistently seeking to improve outcomes rather than simply executing against defined specifications.

Key Responsibilities

RWD Expertise & Data Advisory

• Serve as a subject matter expert across real-world data source types, including claims, EHR/EMR, laboratory, and NLP-derived data, with a thorough understanding of the strengths, limitations, and appropriate applications of each
• Evaluate client and project requirements to formulate clear, well-reasoned recommendations regarding data source selection, variable construction, and inclusion and exclusion criteria
• Advise on vendor data structures and delivery formats, translating source-specific characteristics into actionable guidance for project and delivery teams
• Contribute domain expertise to internal product development discussions, identifying opportunities to enhance data offerings in response to evolving industry and client needs

Critical Problem Solving & Analytical Decision Making