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Epidemiologist

Glasgow (Glasgow City)
KEMIO Consulting
Epidemiologist
Posted: 9h ago
Offer description

Epidemiologist (PhD) — Real-World Evidence & Health Informatics

Location: UK (Remote)

Employment: Permanent


KEMIO Consulting is working closely with a RWE and Healthcare Data Analytics organisation to find an experienced PhD qualified Epidemiologist to join their expanding team delivering high-quality Real-World Evidence (RWE) studies to global pharma and biotech partners.


In this role, you will support on the design and delivery of observational studies across rare diseases and oncology, partnering closely with internal biostatistical teams and external pharmaceutical/biotech clients.


You'll shape and review study protocols, ensure methodological rigour, interpret complex data, and communicate insights that influence clinical, regulatory, and market decisions.


Key Responsibilities

* Develop high-quality study protocols, analysis plans, and methodological frameworks for RWE studies.
* Design observational, retrospective, and prospective studies using diverse RWD sources (registries, EMR, claims, disease-specific datasets).
* Work closely with biostatistical teams to inform sample size assumptions, modelling approaches, and analysis structures.
* Translate scientific questions into analytical specifications and validate statistical outputs.
* Serve as a scientific point of contact for pharmaceutical and biotech clients.
* Present study proposals, methods, and results in a clear, credible, and engaging way.
* Support business development through scientific input into proposals and client discussions
* Interpret results, draft reports, and contribute to manuscripts, conference abstracts, and publications.


Experience & Qualifications Required:

* PhD in Epidemiology, Public Health, Biostatistics, or related field
* 8+ years' experience in an RWE, epidemiology, HEOR, or pharmacoepidemiology role
* Proven ability to design and write protocols for observational studies
* Understanding of advanced epidemiological methods (e.g., causal inference, propensity methods, survival analysis)
* Experience interacting with biostatistical teams and cross-functional collaborators
* Client-facing experience with pharmaceutical, biotech, or health research partners
* Strong written communication skills (reports, abstracts, publications)


Preferred:

* Experience in rare diseases, oncology, or chronic disease research
* Familiarity with global regulatory/HTA evidence requirements
* Exposure to RWD such as claims, EMR, registries, or bespoke disease datasets
* Experience in a small/medium consultancy or agile research organisation


If you are passionate about generating rigorous, meaningful evidence that will transform real-world data into impactful insights that improve outcomes for patients, we’d love to speak with you.

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