RWD Data Analyst

at Norstella in Boise, Idaho, United States

Job Description

RWD Data Analyst

Company: Norstella

Location: Remote, United States

Date Posted: Jun 4, 2026

Employment Type: Full Time

Job ID: R-1998

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

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

Data Extract Development & Implementation

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 multiple data sources

Client & Stakeholder Engagement

Partner with client-facing teams to develop a thorough understanding of client intent, engaging constructively when data limitations require an alternative approach

Communicate data decisions, methodological trade-offs, and analytical assumptions clearly to both technical and non-technical audiences

Manage multiple concurrent project workstreams, maintaining quality and responsiveness across competing priorities

Collaboration & Knowledge Sharing

Collaborate with analytics, engineering, and delivery teams to ensure shared understanding of data logic, source assumptions, and extract methodology

Contribute to shared documentation, standard operating procedures, and team knowledge resources

Participate in team discussions related to data quality, process improvement, and product direction

All other duties as assigned

Required Experience

Bachelor’s degree in Data Science, Computer Science, Public Health, Biostatistics, Epidemiology, or a related field

2-5 years of hands-on experience with real-world healthcare data, with demonstrated ability to assess source suitability and formulate data-driven recommendations

Comprehensive knowledge of RWD source types – including claims, EHR/EMR, laboratory, and unstructured data – and the ability to articulate appropriate use cases for each

Prior experience investigating unstructured or semi-structured EMR data, including identification of analytically viable variables within complex source formats

Strong proficiency in SQL, including complex multi-table query development; ability to produce and review production-quality extract logic

Demonstrated capacity to formulate and defend analytical decisions – including data selection, exclusion criteria, and edge case handling – grounded in both technical and clinical reasoning

Proficiency with AI-powered development tools (e.g., ChatGPT, Claude), with demonstrated ability to apply these tools to accelerate delivery and address complex analytical challenges

Familiarity with the life sciences industry and the drug development lifecycle

Experience with version control systems in a collaborative development environment

Strong analytical and critical thinking skills, with a demonstrated track record of proactive issue identification and resolution

Ability to manage multiple concurrent projects while sustaining high standards of quality, accuracy, and stakeholder responsiveness

Preferred Skills

Experience working with vendor-delivered data products, including familiarity with delivery formats, data dictionaries, and source-specific quality considerations

Exposure to RWD product development, including participation in decisions regarding data asset design or feature prioritization

Experience translating clinical or scientific documentation into executable database logic

Proficiency with data analysis and pipeline tools such as Python, R, Airflow, or equivalent

Comfort operating within governed, production-oriented data environments

Experience supporting client-facing or downstream data delivery workflows

Benefits:

Medical and Prescription Drug Benefits

Health Savings Accounts (HSA) or Flexible Spending Accounts (FSA)

Dental & Vision Benefits

Basic Life and AD&D Benefits

401k Retirement Plan with Company Match

Company Paid Short & Long-T