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Site Name : USA - Pennsylvania - Upper Providence, Belgium-Wavre, Cambridge MA, UK London New Oxford Street, USA - Maryland - Rockville
Posted Date : Oct 17 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.
Within this organization as the VP, Head of Global Real-World Evidence & Health Outcomes Research, Sulabha Ramachandran will be leading a team which incorporates the legacy VEO / Non-Interventional Studies capabilities teams under a newly evolved name that more closely reflects their purpose and the research they deliver.
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, the broader VEO / Medical community, and / or bring the necessary expertise to a matrix team to proactively influence evidence generation through analytics, standards, innovation, and best practices.
- Consult and advise on the approach to identify and compile the data sources (e.g., systematic literature review) 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 (methods, design, analytics, sample / size) of protocols (or entire protocols themselves) of increasing complexity during development.
- Lead or oversee implementation of the following analyses (not an exhaustive list) : Bayesian network meta-analysis (including non-proportional hazard methods), meta-regression, population-adjusted indirect treatment comparison (including matching-adjusted indirect comparison, simulated treatment comparison, and multi-level network meta-regression), IPTW and more innovative weighting approaches, survival analysis (including flexible and innovative methods not limited to landmark survival analysis and methods for incorporating external data), and quantitative bias analysis.
- Lead or oversee quality control (QC) of work products.
- Define and lead delivery of internal Evidence Synthesis initiatives (e.g., technical or process improvement initiatives).
- Contribute to GSK response to external draft HTA / regulatory or other industry-wide 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, including results interpretation and drawing appropriate inferences based on study design / statistical methods as well as assessment of study limitations.
- Explain technical concepts at all levels in the organization, including senior leadership / stakeholders.
- 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 through various engagement forums.
- Manage relationships with vendors and hold them accountable to meet GSK standards.
- Mentor team members, facilitate the development of others, and help solve day-to-day challenges.
- Maintain awareness / understanding of roles of partner departments leading to enhanced contributions through collaboration.
- 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, ability to address conflicts / issues and make decisions to achieve results.
- Ability to work with a minimum amount of supervision and interact with matrix partners across the organization.
- Ability to anticipate problems related to assigned work or areas of expertise and able to implement solutions, proactively seeking input from supervisor / manager if needed.
- 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 such as epidemiology, health economics, health services research, health informatics, or biostatistics, plus 7 or more years of experience working within the pharmaceutical / biotech industry (preferably in real-world evidence, epidemiology, or health outcomes functional areas).
- A good understanding of drug development processes and strategies, with proven ability to apply innovative statistical thinking to meet project and / or business objectives.
- Experience leading a portfolio of projects, stakeholders and other analytic staff in a senior role.
- Excellent problem-solving / analytical skills, including finding efficient / innovative solutions to challenging problems.
- Enthusiasm to collaborate on a wide variety of projects across multiple therapy areas.
- Fluency in written and spoken English to communicate effectively and articulate complex concepts to diverse audiences.
LI-GS
Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a special purpose to unite science, technology and talent to get ahead of disease together so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns as an organisation where people can thrive.
If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).
GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity / expression, age, disability, genetic information, military service, covered / protected veteran status or any other federal, state or local protected class.
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