Senior Principal Scientist, Outcomes Research in London

In BARDS (Biostatistics and Research Decision Sciences), a distinguished department within the company’s renowned Research and Development division, quantitative scientists, in partnership with other subject matter experts, apply state‑of‑the‑art scientific methodologies and tools to enable the discovery, development, regulatory approval, manufacturing, and marketing of medical drugs and vaccines for the benefit of patients and global human health.

Leads a team of health economists to develop and implement health economics and modeling strategies that enable the company to understand and communicate the full economic value of the oncology portfolio to payers, health technology agencies, policy makers, and other decision‑makers in order to optimize market access and patient outcomes.

Responsibilities

• Lead a team in the development and execution of health economic and modeling strategies to support the value of the company’s oncology portfolio.
• Provide leadership, mentorship, and strategic direction to a team of 3–4 health economists.
• Oversee the prioritization and development of high‑quality global health economic models and tools to support market access, pricing, reimbursement, HTA submissions, and formulary decision‑making across U.S. and international markets.
• Collaborate with key countries and the regional team to adapt global models for local HTA, reimbursement, and formulary submissions.
• Generate and communicate early health economic insights to inform development and commercialization strategies.
• Build strong partnerships with internal stakeholders to ensure modeling strategies align and support the overall product development and value evidence strategy and implementation.
• Develop and maintain relationships with external thought leaders in health economics, decision sciences, and health policy to enhance scientific credibility, inform strategy, and position the company as a leader in the field.

Qualifications

Education

• Ph.D. (preferred) in Quantitative Sciences such as Health Economics, Mathematics, Predictive Modeling, Statistics, Operations Research, Physics, Engineering or a closely related field with 7 or more years of relevant experience; or Master’s degree with at least 9 years of relevant work experience.

Required Experience and Skills

• Demonstrated ability to lead and manage teams.
• Excellent written and verbal communication skills.
• Strong strategic thinking and problem‑solving skills.
• Ability to work independently and interact effectively with a broad group of stakeholders.
• Ability to manage multiple priorities and deadlines.
• Ability to translate complex analyses into actionable insights.
• Experience in developing health economic models for decision‑making.
• Strong expertise in oncology modeling.
• Experience with HTA and reimbursement submissions.

Preferred Skills

• Commercialization, Data Management, Decision Models, Healthcare Technology, Health Economics, Market Access, Mathematics, Medical Economics, Mentorship, Prioritization, Product Development, Researching, Stakeholder Relationship Management, Strategic Planning, Strategic Thinking.

Salary

$210,400.00 – $331,100.00 (annual)

Benefits

We offer a comprehensive package of benefits, including medical, dental, vision, healthcare and other insurance benefits (for employee and family), retirement benefits, 401(k), paid holidays, vacation, and compassionate and sick days.

Location

US and Puerto Rico, with specific consideration for San Francisco and Los Angeles residents per local fair‑chance ordinances.

Additional Details

• No relocation.
• No VISA sponsorship.
• Travel required: 10%.
• Hybrid work arrangement.

EEO Statement

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.