Company Overview

Our client is a leading global CRO that supports pharmaceutical, biotechnology and medical device companies across the full product development lifecycle. With a broad international footprint across APAC, Europe and North America, they deliver clinical development, real-world evidence and market access services to sponsors ranging from emerging biotechs to established global pharma.

As demand grows for robust evidence to support reimbursement decisions, the business is expanding its health economics and outcomes research capability. The team partners with clients to build the economic and outcomes evidence that brings new therapies to patients in markets around the world.

The company offers a collaborative, international working environment where scientists work closely with clinical, statistical and commercial colleagues. Team members are encouraged to develop their technical expertise, take ownership of their work and contribute to a growing function.

The Role

The Health Outcomes Scientist is a technical, hands-on position focused on designing and developing health economic models and outcomes analyses that support HTA and reimbursement submissions. The role combines advanced modelling and statistical work with clear communication, turning complex clinical and real-world data into evidence that payers and decision makers can act on.

Working across cross-functional teams, the Health Outcomes Scientist plays a key role in delivering high-quality submissions across multiple geographies and therapy areas.

Key Responsibilities

• Design, build and adapt health economic models to support HTA and reimbursement submissions

• Analyse and interpret clinical trial and real-world data, including survival analysis, meta-analysis and quality of life data

• Conduct indirect treatment comparisons and advanced analyses where required, including MAIC and network meta-analysis

• Programme and modify models in Excel VBA and R

• Support HTA submissions and prepare responses to payer and HTA body questions

• Explain health economic and statistical concepts clearly to clinical, statistical, commercial and payer-facing audiences

• Work closely with cross-functional colleagues and manage vendor relationships to deliver projects on time

• Keep up to date with HTA processes and payer requirements across key markets

Qualifications

• MSc or PhD in Health Economics, Outcomes Research, Epidemiology, Health Services Research, Health Policy, Pharmaceutical Administration, Statistics or a related field

• 4 to 6 years’ experience (MSc) or 3 to 5 years’ experience (PhD) in health economics, outcomes research or HTA within the pharmaceutical industry or a payer setting

• Proven experience designing health economic models for HTA submissions, such as NICE, SMC and CDA-AMC (formerly CADTH)

• Advanced Excel skills including VBA, strong R skills, and familiarity with specialist tools such as TreeAge and HeRO3

• Strong analytical skills across clinical trial and real-world data, including survival analysis, meta-analysis and quality of life assessment

• Excellent written and verbal communication skills, with the ability to adapt to technical and non-technical audiences

• Proven ability to work in cross-functional teams, manage vendors and meet deadlines in a fast-paced environment

• Experience in neuroscience, nephrology, oncology or rare disease is an advantage

• Experience with indirect treatment comparisons, Bayesian methods or external control arms is an advantage

• Knowledge of HTA and payer requirements across the UK, EU, Canada and Australia is an advantage

The Offer

• Opportunity to join a growing HEOR function within a global organisation

• Varied, hands-on modelling work across multiple therapy areas and HTA markets

• International, cross-functional environment alongside clinical, statistical and commercial experts

• Clear scope to develop advanced technical skills in ITCs, Bayesian methods and model programming

If you feel you possess the right capabilities, please apply directly.