Senior Director - Therapy Area Modelling Lead Pharma

Locations GSK HQ New Oxford Street & USA - Upper Providence

Reports to: Head Modelling & Evidence Synthesis

Join GSKs Chief Patient Organisation (CPO) and be part of a global organization that drives innovation scientific excellence and patient-centered solutions. At GSK we are committed to improving lives by ensuring the safe and effective use of our medicines and vaccines bridging critical scientific insights with impactful healthcare strategies.

In this role you will lead a team that applies innovative modelling/ evidence generation approaches to shape reimbursement and access strategy across therapeutic areas. You will partner with cross-functional teams vendors and external experts to develop transparent robust cost-effectiveness public health impact budget-impact models as well as models for early decision-making. We value clear scientific thinking strong communication and practical problem solving. This role offers career growth meaningful impact on patient access and alignment with GSKs mission of uniting science technology and talent to get ahead of disease together.

This role is hybrid. Expect regular time in the office (typically 23 days per week) with flexibility for remote work when appropriate.

In this role you will:

This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:

• Lead build and mentor an Economic modelling Team across Therapy Areas within Pharma.
• Lead development of global models for medicines preparing for launch/HTA reimbursement applications in alignment with Medicine Strategy.
• Drive innovation through engagement with external experts/ decision-makers HTA agencies methodology and policy forums.
• Facilitate alignment and partnership to enable more effective interactions within the complex stakeholder matrix e.g. clinical commercial market access medical affairs priority market LOCs.
• Deliver materials to inform internal governance decision making (e.g. Medical Review Board etc) as relevant.
• Lead early economic models to inform clinical development trial design and evidence plans.
• Act as an in-house expert for product teams on modelling Health Technology Assessment (HTA) requirements and payer evidence needs.
• Represent the modelling function in scientific advice meetings cross-functional asset teams and external engagements.

Basic Qualifications & Skills

We are seeking professionals with the following required skills and qualifications to help us achieve our goals:

• Advanced degree in a relevant health discipline such as but not limited to Pharmacy Medicines health outcomes research health economics economics.
• Significant experience leading development of economic models and outcomes/ health economics research in industry research organisations or academia
• Proven experience contributing to HTA submissions or reimbursement dossiers.
• Evidence of leading partnerships with Commercial Market Access and R&D functions.
• Technical skills with modelling software and programming (for example R Excel decision-analytic modelling tools).
• Experience managing vendor relationships and assuring quality of outsourced deliverables.
• Excellent written and verbal communication skills to explain models and results to technical and non-technical audiences and to influence internal / external stakeholders.
• Demonstrated success leading cross-functional teams and aligning stakeholders to deliver complex projects on time.

Preferred Qualifications & Skills

Preferred Qualification

If you have the following characteristics it would be a plus:

• PhD in a relevant quantitative/ health discipline.
• Track record of peer-reviewed publications as lead or first author on cost-effectiveness or methods research.
• Considerable experience with cost-effectiveness modelling budget-impact modelling and local adaptations across major markets in Specialty and Oncology Therapy Areas.
• Familiarity with real-world evidence (RWE) sources and their use in model inputs.
• Prior experience in a global pharmaceutical or Biotech/ CRO company with exposure to multiple HTA systems.

What success looks like in this role

You will lead a highly-functioning Modelling team across Therapy Areas. You will deliver high-quality transparent economic models on time and budget. You will enable better decisions across development and by external decision-makers e.g. HTA/ reimbursement bodies. You will build trusted relationships with internal partners and external experts.

Closing Date for Applications: 21st April 2026 (EOD)

Please take a copy of the Job Description as this will not be available post closure of the applying for this role please use the cover letter of the online application or your CV to describe how you meet the competencies for this role as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.

Why GSK

Uniting science technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade as a successful growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale.

People and patients around the world count on the medicines and vaccines we make so were committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients accountable for impact and doing the right thing is the foundation for how together we deliver for patients shareholders and our people.

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race color religion sex (including pregnancy gender identity and sexual orientation) parental status national origin age disability genetic information (including family medical history) military service or any basis prohibited under federal state or local law.

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