RWD Data Analyst

RWD Data Analyst

Company:
Norstella

Location:

Remote, United States

Date Posted:
Jun 4, 2026

Employment Type:

Full Time

Job : R-1998

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.

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.

• 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

• Apply structured analytical reasoning to each data engagement, critically evaluating requirements, challenging assumptions where appropriate, and recommending the most defensible analytical path forward
• Investigate complex and unstructured data sources — including raw EMR data — to assess fitness for purpose and identify viable analytical signal
• Anticipate downstream data quality and delivery risks, proactively surfacing issues and proposing solutions prior to escalation
• Leverage AI‑powered tools (e.g., ChatGPT, Claude) to enhance development efficiency, support artifact generation, and address non‑standard analytical challenges

• Design and develop client‑specific data extracts that reflect both the stated specification and a sound, defensible understanding of the underlying data
• Translate real‑world data requirements into production‑quality SQL logic, with attention to accuracy, reproducibility, and long‑term maintainability
• Develop and maintain database queries and procedures used to extract and structure RWD across…