Director, Analytics & Insights

at Norstella in Boise, Idaho, United States

Job Description

Director, Analytics & Insights

Company: Norstella

Location: Remote, United States

Date Posted: Aug 17, 2026

Employment Type: Full Time

Job ID: R-2141

Description

Director, Analytics & Insights (Clinical RWD/RWE Solutions)

About us

Norstella is a premier and critical global life sciences data and AI solutions provider dedicated to improving

patient access to life-saving therapies. Norstella supports pharmaceutical and biotech companies across the full

drug development lifecycle – from pipeline to patient. Our mission is simple: to help our clients bring therapies

to market faster and more efficiently, ultimately impacting patient lives.

Norstella unites market-leading brands – Citeline, Evaluate, MMIT, Panalgo, Skipta and The Dedham Group

and delivers must-have answers and insights, leveraging AI, for critical strategic, clinical, and commercial

decision-making. We help our clients:

? Accelerate the drug development cycle

? Assess competition and bring the right drugs to market

? Make data driven commercial and financial decisions

? Match and recruit patients for clinical trials

? Identify and address barriers to therapies

Norstella serves most pharmaceutical and biotech companies around the world, along with regulators like the

FDA, and payers. By providing critical proprietary data supporting AI-driven workflows, Norstella helps clients

make decisions faster and with greater confidence. Norstella’s investments in AI are transforming how data is

consumed and decisions are made, disrupting inefficient legacy workflows and helping the industry become

more efficient, innovative, and responsive to patient needs.

Job description

This is a player-manager position within the Content Strategy team in Norstella Content Operations, reporting to

the VP, Content Strategy. It combines hands-on strategic ownership with leadership of a small team of technical

RWD specialists (two direct reports) who implement the RWD logic and analytical solutions. The role is UK

based and remote. The Director sets the direction for RWD/RWE transformational programs and projects that

address key business priorities, working in close collaboration with cross-functional business units (Technology,

Product, Data Science, Services), and remains directly hands-on in the strategy, evidence logic and specification

work that underpins them, focusing on:

? Data Optimisation – Drive AI-ready, quality RWE

? Data Utilisation – Maximise data utility and unlock opportunities to leverage Norstella RWD data

across the business to drive value, including as the foundation for AI solutions and agentic workflows

? Thought Partnership – Spearhead data strategy, acting as the SME bridge between client value and

Norstella data across both content products and AI-driven solutions

? Defensible RWE – own the logic and standards for how real-world evidence is defined, built and

defended (cohort definitions, endpoint-based business rules, study design), ensuring outputs are

clinically sound, withstand scientific and client scrutiny, and are fit to power both content products and

AI solutions and agents

Responsibilities

Serve as an influential RWD/RWE Content SME and thought partner advising

senior leadership across Norstella

? Set the RWD/RWE strategy – direct how real-world evidence is generated, structured and productised

across all therapeutic areas, in service of the broader content strategy

? Own cross-functional stakeholder relationships and client engagements across Product, Services,

Technology and Data Science, acting as an ambassador for the value of RWE data with internal and

external stakeholders and surfacing opportunities for growth and enhancement

? Represent RWD as a function across Product, Data Science, Content and Technology – resolving trade

offs and providing clear, clinically grounded paths forward

? Own the translation of complex, data-driven RWE concepts into business-digestible value and ROI for

clients, aligned with enterprise-wide priorities

? Ensure clear lines of communication with product and AI teams developing RWE roadmap items -

including AI solutions and agents that consume our data – and ensure on-time delivery of data

? Report to executive leadership team on progress, risks and implications of strategic initiatives

Own the defensible logic and specification of our real-world evidence

? Define and govern the standards for cohort definitions, primary and secondary endpoint logic, and real

world study design across therapeutic areas (indication-agnostic)

? Translate clinical and RWD expertise into precise, buildable specifications and business rules that Data

Science and Technology can implement without ambiguity

? Provide clear, clinically grounded paths forward when the science, data and product priorities are in

tension – acting as the bridge between clinical reality and what gets built and shipped

? Ensure the defensibility of RWE outputs is maintained as offerings scale, setting the evidence bar that

protects scientific credibility and commercial value

? Own the evidence logic, interpretation standards and analytic approach that turn extracted data into

actionable insights and strategic recommendations – setting the direction others build to, grounded in

prior hands-on data experience rather than routine extraction

? Understand the relationship between clinical reality and its imperfect representation in healthcare data -

recognising artefacts introduced by coding behaviour, reimbursement processes, site-specific practice

and incomplete longitudinal capture, and determining where absence of an event in the data can and

cannot reasonably be interpreted as clinical absence

? Identify when apparently valid analytical outputs are clinically implausible, and challenge logic that is

technically executable but clinically unsound

? Apply observational and epidemiological judgement to solution design – critically assessing cohort

construction, index dates, follow-up definitions and endpoint selection, and recognising material

sources of selection bias, information bias, confounding, censoring, missingness and measurement

error

? Ensure solutions distinguish appropriately between descriptive observation, association and causal

interpretation, and partner with specialist epidemiologists or statisticians where advanced

methodological input is required

? Establish clinically justified assumptions where RWD is incomplete or ambiguous, identify appropriate

proxy measures, and specify edge cases and exception handling required for robust implementation

Ownership of end-to-end enhancement of content datasets, leading capability

expansion

? Spearhead identification of whitespace and structural gaps, and architect feasible, innovative and

scalable RWE enhancements to close them – including AI-driven ones

? Work with Product and AI teams to scope disease area priorities, definitions and requirements for both

content products and AI/agent use cases, thinking strategically and commercially

? Ensure content and RWE outputs are AI- and agent-ready – structured, retrievable and semantically

consistent so they can be reliably consumed by AI solutions, agentic workflows and downstream

products

? Define the clinical knowledge, decision logic, constraints and validation requirements for agents

interacting with RWD – ensuring AI-enabled outputs distinguish clearly between observed information,

calculated outputs, clinical assumptions and inferred conclusions

? Develop validation scenarios that test whether agent outputs remain clinically coherent across

represe