Associate Director, Global Real-World Evidence & Health Outcomes Research, Evidence Synthesis

Site Name : USA - Pennsylvania - Upper Providence, Belgium-Wavre, Cambridge MA, UK - London - New Oxford Street, USA - Maryland - Rockville

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Posted Date : Oct 8 2024

Established as a focused global function Data Generation & Scientific Communications , is uniquely placed to help accelerate the successful integration of our medicines and vaccines into the healthcare pathway - we're the 'engine' that brings our medical affairs strategies to life.

The role of Associate Director, Global Real-World Evidence & Health Outcomes Research, Evidence Synthesis is critical to achieving this ambition by ensuring that each medicine GSK brings to market is supported by scientifically credible, high-quality evidence that drives competitiveness and strong evidence-based product positioning, value propositions and value-based pricing.

Associate Director, Evidence Synthesis works in collaboration with colleagues across Data Generation, Medical, Biostatistics, Epidemiology, and other parts of GSK to design and implement quantitative evidence syntheses (e.

g., indirect treatment comparisons, network meta-analysis, external comparator arm analyses) for GSK medicines.

SPECIFIC RESPONSIBILITIES :

The role will serve as single point accountable Lead for a therapy area or some key asset projects. The role will be accountable for ensuring close engagement with medical and matrix stakeholders and partner effectively in data generation plan (DGP) planning, design, execution, translation and dissemination for the asset and to ensure the highest standards of excellence are applied to quantitative evidence synthesis projects from a scientific / technical perspective.

The responsibilities listed below outline the scope of the position. The application of these tasks may vary, based upon evolving business needs.

Design and Analysis

• Propose fit-for-purpose evidence synthesis solutions to asset and therapy area (TA) teams.
• Consult and advise on the approach to identify and compile the data sources required to conduct quantitative synthesis.
• Lead or oversee quantitative evidence synthesis feasibility assessments and recommend the most suitable analytic approach(es).
• Lead or oversee specific elements of protocols of increasing complexity during development.
• Lead or oversee implementation of various analyses including Bayesian network meta-analysis and survival analysis.
• Lead or oversee quality control (QC) of work products.
• Define and lead delivery of internal Evidence Synthesis initiatives.
• Contribute to GSK response to external draft HTA / regulatory initiatives about Evidence Synthesis.
• Maintain currency with innovative and novel methods for quantitative evidence synthesis.

Communication of Results

• Co-author scientific publications, especially the methodological / statistical sections.
• Present research results to study team and other collaborators.
• Explain technical concepts at all levels in the organization.
• Successfully negotiate with senior management on issues which are high risk to the business.
• Inform / influence TA / asset strategy.

Leadership and Teamwork

• Manage projects to ensure delivery of a portfolio of high-quality work to agreed timelines.
• Proactively influence team members regarding appropriate research / statistical design and analytics delivery.
• Manage relationships with vendors and hold them accountable to meet GSK standards.
• Mentor team members and facilitate the development of others.
• Anticipate and communicate potential problems at study or functional level and lead solutions to resolve.

TECHNICAL SKILLS :

• Apply expert understanding of study design, sources of potential bias, methodology, and statistics to deliver quantitative evidence synthesis projects.
• Apply innovative, fit-for-purpose methodology and approaches to solve critical problems.
• Proficient in a relevant programming language (e.g., R, BUGS / JAGS, STAN).
• Develop in-depth knowledge on the assigned asset(s).

SOFT SKILLS :

• Merge scientific thinking and business knowledge to identify issues, evaluate options, and implement solutions.
• Strong problem-solving skills and ability to make decisions to achieve results.
• Ability to work with a minimum amount of supervision and interact with matrix partners.
• Excellent oral and written communication skills.
• Excellent organizational and planning skills.

BASIC QUALIFICATIONS :

• PhD degree + 3 years related experience, or Masters degree + 5 years of related experience, in a quantitative discipline such as epidemiology, health economics, health services research, health informatics, or biostatistics.
• Experience leading pharmacoepidemiology and / or health outcomes analytics.
• Experience of biostatistics applied to clinical / epidemiological research.

PREFERRED QUALIFICATIONS :

• PhD degree in a quantitative discipline plus 7 or more years of experience in the pharmaceutical / biotech industry.
• A good understanding of drug development processes and strategies.
• Experience leading a portfolio of projects in a senior role.
• Excellent problem-solving / analytical skills.
• Fluency in written and spoken English.

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