Scientist in Data, Methods, & Analytics (Director), Open to flexible working

7 days left

Brentford (City/Town), London (Greater)
12 Sep 2020
30 Sep 2020
Contract Type

GlaxoSmithKline (GSK) is a science-led, global healthcare company, employing over 100,000 people in more than 115 countries. Our mission is to improve the quality of human life by enabling people to do more, feel better, live longer.

Our Team

The Value Evidence and Outcomes (VEO) group at GSK is composed of four research teams: Value Evidence (VE, akin to Health Economics and Outcomes Research (HEOR) teams in other pharma companies), Epidemiology, Patient Focused Outcomes, and Data, Methods and Analytics (DMA). Together, these teams are responsible for driving definition and demonstration of value for GSK medicines through evidence generation, ultimately resulting in optimal patient access to GSK medicines.

Data, Methods, & Analytics

GSK's Data Methods and Analytics (DMA) team partners closely with the other research teams within VEO to support drug development and patient access. The DMA team conducts studies using existing data to provide insight and evidence on the patterns, burden, and occurrence of disease, cost and healthcare utilisation, and the safety, effectiveness, and other outcomes of treatment. DMA contributes to all phases of research in priority markets, with full design & analytic support for rapid analytics and in-sourced studies (using data licensed by GSK) and consulting support for out-sourced studies. Our goal is to provide objective evidence of the value of our medicines through the analysis of real-world data sources, i.e., electronic health records, administrative claims, patient registries and other observational health data sources, as well as post-hoc analysis of randomised clinical trial (RCT) data.

In this role, you will be responsible for designing and leading studies in the respiratory therapeutic area using real-world data (and/or other existing data sources). You will work with stakeholders within VEO to translate strategic evidence needs into actionable insights through research with existing data, including ensuring that studies are high quality and methodologically robust (e.g., minimising systematic biases due to confounding by indication through appropriate study design and analytic methods).

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

  • Provide scientific, methodological and analytic expertise to execute a portfolio of inhouse studies and analytic projects to meet disease and asset level evidence needs across the GSK portfolio.
  • Design, implement and deliver real-world healthcare insights and evidence through collaboration with stakeholders in epidemiology, value evidence/health outcomes research, safety, and elsewhere within GSK and leveraging internal/external real-world data sources.
  • Serve as a scientific lead and/or core study team member for internally conducted real world database studies, i.e., primary author on protocol, managing delivery of analyses, interpretation, and reporting of results as part of matrix study team in close alignment to therapy area or integrated evidence team sponsor
  • Intake projects (analysis of real-world healthcare data and re-use of trial data including post-hoc and meta-analysis, indirect treatment comparisons, etc.) that can be delivered inhouse, including supporting all necessary steps for study execution i.e., study design, protocol development and review, programming and analysis, scientific input and results interpretation, and report development.
  • Collaborate as a member of cross-functional teams and contribute to evidence generation strategy in partnership with internal stakeholders to maximise internal data holdings as well as analytic capability.
  • Develop strong partnerships with various internal stakeholders to identify robust, innovative and efficient methods to conduct value evidence generation studies. Communicate and persuadeacross a wide range of partners and senior leaders.
  • Represent DMA as a subject matter expert on real world data and its use, including study methodologies and appropriate interpretation of results.
  • Serve as the internal methods contact liaising with external experts for outsourced projects where scientific support, technical specification, QA and QC activities are needed.
  • Represent GSK on external RWD/E initiatives and consortia to provide leadership and contribute to continuous learning at GSK
  • Participate in the peer review process for observational study protocols.
  • Foster an environment of continued learning, best practices in data science, statistical analysis and/or reporting of observational healthcare studies, including mentoring of junior staff.

Why you?

Basic Qualifications:

We are looking for professionals with these required skills to achieve our goals:

  • Deep understanding of scientific methodologies employed in pharmacoepidemiology, health outcomes, regulatory, safety and/or reimbursement requirements for evidence generation
  • Master's degree in an applied quantitative analytic discipline such as epidemiology, health outcomes, health informatics, biostatistics, health economics, or quantitative decision making
  • 8+ years of experience conducting research using observational "real world" data such as electronic medical records, insurance claims, registries, and cohorts
  • 5+ years of experience in pharmaceutical, healthcare or other relevant industry, consulting, health services, policy and/or academic environment.
  • Experience managing multiple projects under tight deadlines
  • Excellent written and verbal communication, collaboration, and influencing skills, including the ability to articulate complex concepts to diverse audiences
  • Candidates must be able to work independently as well as in a team.
  • Hands-on experience and practical knowledge of statistical/analytic software (e.g., R, SAS, STATA).

Preferred Qualifications:

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

  • PhD in an applied quantitative analytic discipline such as epidemiology, health outcomes, health informatics, biostatistics, health economics, or quantitative decision making 
  • 5+ years industry experience (preferably in real-world evidence, epidemiology, or health outcomes functional areas) is also preferred.

Why GSK?

Our values and expectations are at the heart of everything we do and form an important part of our culture.

These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities:

  • Agile and distributed decision-making - using evidence and applying judgement to balance pace, rigour and risk.
  • Managing individual and team performance.
  • Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution.
  • Implementing change initiatives and leading change.
  • Sustaining energy and well-being, building resilience in teams.
  • Continuously looking for opportunities to learn, build skills and share learning both internally and externally.
  • Developing people and building a talent pipeline.
  • Translating strategy into action - a compelling narrative, motivating others, setting objectives and delegation.
  • Building strong relationships and collaboration, managing trusted stakeholder relationships internally and externally.
  • Budgeting and forecasting, commercial and financial acumen.


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