Real World Data Scientist
Site Name: USA - Pennsylvania - Upper Providence, Home Worker - USA, UK - London - Brentford, USA - Massachusetts - Waltham, USA - North Carolina - Research Triangle Park, USA - Pennsylvania - Philadelphia Posted Date: Oct 25 2021 Our Company 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. PURPOSE The Real-World Analytics (RWA) team applies data and methodological expertise to the analysis of existing complex health data sets. The RWA Scientist partners with the GSK global Value Evidence and Epidemiology teams to develop scientifically credible, high-quality evidence aligned with the needs of regulators, the scientific community, and decision makers responsible for granting access and reimbursement. SPECIFIC RESPONSIBILITIES As an RWA Scientist, you will use your real-world data and methodological expertise to develop design and statistical analysis plans (SAPs) for the analysis of existing complex health data sets, such as insurance claims, electronic health records, and health registries. You will work in collaboration with matrix teams, including other Scientists within the Value Evidence and Outcomes (VEO) organization, who work to translate evidence needs into a robust program of studies that support appropriate access to and evidence for GSK medicines. This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following: Design and Analysis Manage a portfolio of work to ensure delivery of quality work products to agreed timelines Share RWD and methodological expertise with teams to inform study planning, development, and delivery Lead the development and delivery of analysis of existing complex health data sets. Responsibilities include: author protocol and/or statistical analysis plan, write programming code to conduct statistical analysis, critically review approach and results on an ongoing basis considering design assumptions and knowledge of the data, summarize analytic findings (including limitations) in oral or written form Author specifications for analytic data sets for all RWA activities (rapid data queries (RDQ), retrospective observational studies, and other studies) to ensure appropriate interpretation and implementation of analytic design, in collaboration with RW Data Management and Programming (RWDMP). Review resulting deliverable(s) for accuracy/completeness Ensure documentation is appropriate regarding data manipulation, statistical analysis, reporting Author, maintain, finalize, and archive project delivery documentation for in-sourced studies in accordance with SOPs where appropriate Perform quality control (QC) of work products from other colleagues Provide RWD and methodological expertise to support study teams in out-sourced studies Communication of Results Co-author and bring statistical/methodological expertise in scientific publications of the in- or out-sourced RWD studies/analyses Effectively 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 Therapy Area Knowledge Understand therapy area (TA)/asset in order to apply appropriate tools (e.g., variable definitions, code lists) and use appropriate data sources Leadership and Teamwork Maintain currency with methods for the use of existing complex health datasets for research Develop in depth knowledge on the assigned asset and act as an RWA consultant within broader VEO team Apply innovative, fit-for-purpose methodology and approaches to solve critical problems Merge scientific thinking and business knowledge to identify issues, evaluate options, and implement solutions Proactively influence team members regarding appropriate research/statistical design and analytics delivery through various engagement forums: At the Value Evidence Team (VET), as part of a study team (in-sourced or out-sourced), and in coordination with the RWDMP team Mentor team members, including other RWA scientists and RW Programmers Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: MS in a quantitative discipline such as epidemiology, health economics, health services research, health informatics, or biostatistics At least three years experience working with RWD for use in pharmacoepidemiology and/or health outcomes research with good practical knowledge of biostatistics applied to clinical/epidemiological research At least three years experience and practical knowledge of statistical/analytic software (e.g., SAS, R, IHD) Preferred Qualifications: If you have the following characteristics, it would be a plus: PhD degree in a quantitative discipline such as epidemiology, health economics, health services research, health informatics, or biostatistics 5 years of experience working with RWD for use in pharmacoepidemiology research with good practical knowledge in biostatistics applied to clinical/epidemiological research Oncology research experience A good understanding of drug development processes and strategies, with proven ability to apply innovative statistical thinking to meet project and/or business objectives Prior experience working in the pharmaceutical/biotech industry (preferably in real-world evidence, epidemiology, or health outcomes functional areas) Excellent problem-solving and analytical skills and enjoy finding efficient and innovative solutions to challenging problems Self-reliant with the ability to deliver robust, timely, high-quality analytics Enthusiastic collaborator and enjoy working on a wide range of projects and requests across multiple TAs Fluent in written and spoken English to effectively communicate and able to articulate complex concepts to diverse audiences 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. *LI-GSK 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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