Principal Consultant, Health Economics & Modelling

 Posted 3 months ago
     
10+ years experience
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AI Summary

As a senior leader, the Principal Consultant is responsible for building client relationships, providing technical leadership and training to junior staff, generating thought leadership, and leading complex project delivery to ensure quality and timeliness. This role also involves writing and presenting proposals, driving sales targets, and acting as Project Director on key engagements.

When our values align, there's no limit to what we can achieve.
 
At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.

Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.

Job Purpose:

As a senior leader a Principal Consultant in the HEOR modelling team has responsibility for building and maintaining relationships with clients, for providing technical leadership and training to junior staff, generating and advocating thought leadership pieces, and for leading the delivery of projects on time and to a high quality. In addition, the Principal Consultant has an important role in writing and presenting proposals to prospective clients, driving sales targets and NBA's.

Principal Consultants are senior technical and project leaders in the Health Economics & Modelling (HEM) team, with key responsibilities including;

· Providing advanced methodological and modelling leadership on complex projects

· Acting as Project Director on key engagements, assuring quality, timelines and financial performance

· Support account and client relationship management and contribute meaningfully to new business activities, driving business growth

· Take a visible role in developing people, methods, and internal standards

Essential Knowledge & Experience You Will Require For This Role:

· 10-15+ years of health economics modelling experience, ideally with extensive consultancy experience

· Deep expertise across therapeutic areas, HTA jurisdictions and global market access

· Extensive experience as Project Director on complex, multi-jurisdictional projects

· Demonstrated experience supporting HTA submissions (e.g. NICE, SMC, CADTH, G-BA, others)

· Proven track record of successful business development and account growth

· Demonstrated thought leadership through publications, presentations or industry contributions

· Strong network within the pharmaceutical industry and the HTA community

· Experience coaching and line-managing (or de facto managing) junior staff is strongly preferred.

Skills Required:

· Deep expertise in health economic modelling (Excel/VBA, R)

· Advanced understanding of HTA-relevant guidelines, techniques and methodologies

· Proven ability to direct multiple projects in parallel

· Solid grasp of project financials (pricing, WIP, burn vs. budget, revenue recognition)

· Advanced expertise in generative AI tools for health economics modelling

· Exceptional client relationship and account management capabilities

· Proven influencing and negotiation skills, comfortable in discussing trade-offs and methodological decisions with senior client stakeholders

· Strategic business thinking and commercial acumen

· Outstanding written and oral communication across all organisational levels

· Results-oriented with a strong accountability mindset

· Leadership, coaching, and team-building capabilities

· Ability to motivate teams, set clear expectations, and give constructive feedback

· Calm under pressure; able to make pragmatic decisions in imperfect data environments

· Fluent English with a high degree of written accuracy; additional European languages advantageous

Education Requirements for this role:

· Master's degree in health economics, economics, life sciences, mathematics, statistics, or related quantitative discipline.

· Additional postgraduate training (e.g. PhD, MBA) is an advantage, but not essential.

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