As a Real-World Analytics (RWA) Scientist, Oncology Therapy Area, you will use data and methodological expertise to develop study and protocol designs, draft statistical analysis plans (SAPs), and perform and/or review analyses of existing complex health data sets, primarily real-world data (RWD) sources such as claims and electronic health record (EHR) data. You will perform your work in collaboration with scientists, epidemiologists, analytic developers, and others within the Value Evidence and Outcomes (VEO) organization, as part of matrix teams. These teams work to translate evidence needs into a robust program of studies to support appropriate access to and evidence for GSK medicines. Your work will focus primarily on the oncology therapeutic area. Design and Analysis
Communication of Results
- Manage a portfolio of work or individual studies to ensure delivery of quality work products to agreed timelines
- Share RWD and methodological expertise with asset and therapy area (TA) teams, the broader RWA community, and/or bring that expertise to a matrix team to inform study planning, development, and delivery
- Lead the development and delivery of analysis of existing complex health data sets. Responsibilities include: contribute to and/or author protocols and/or statistical analysis plans (includes selecting approach to quantitative bias control, statistical power/precision, sample size), write programming code to manipulate complex data and 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 the Real World Data Management and Programming (RWDMP) team. Review resulting deliverable(s) for accuracy/completeness
- Apply exceptional problem-solving and analytical skills to find innovative, high-quality, and timely solutions to challenging problems
- 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
Therapy Area Knowledge
- Co-author and bring statistical/methodological expertise in scientific publications
- Effectively present, orally and written, 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
Leadership and Teamwork
- Understand oncology therapy area asset needs in order to apply appropriate tools (e.g., variable definitions, code lists) and use appropriate data sources
Why you? Basic Qualifications:
- 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 exceptional communication skills—both oral and written—to be a critical bridge between teams across the entirety of the analytic workflow and lifecycle
- 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, and in coordination with the RWDMP team
- Mentor team members, including other RWA scientists and RW programmers
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 3 years of experience working with RWD (e.g., commercial claims, Medicare, EHR) for use in pharmacoepidemiology and/or health outcomes research with good practical knowledge of biostatistics applied to clinical/epidemiological research
- Experience and practical knowledge of statistical/analytic software (e.g., SAS, R, IHD)
- Exceptional communication skills with experience working in a team-based, matrix environment
- Fluent in written and spoken English to effectively communicate and able to articulate complex concepts to diverse audiences
If you have the following characteristics, it would be a plus:
- A good understanding of drug development processes and strategies, with proven ability to apply innovative statistical thinking to meet project and/or business objectives
- Curious, self-starter, and team science-minded, who actively contributes across all phases of the study lifecycle and asks ‘why?'
- Excellent problem-solving and analytical skills and enjoy finding efficient and innovative solutions to challenging problems
- Enthusiastic collaborator and enjoy working on a wide range of projects to deliver robust, timely, high-quality analytics
- PhD degree in a quantitative discipline such as epidemiology, health economics, health services research, health informatics, or biostatistics
- Prior experience working in oncology within the pharmaceutical/biotech industry (preferably in real-world evidence, epidemiology, or health outcomes functional areas)
- 5+ years of experience working with RWD for use in pharmacoepidemiology research with good practical knowledge in biostatistics applied to clinical/epidemiological research
At GSK, we have already delivered unprecedented change over the past four years, improving R&D, becoming a leader inConsumer Health, strengthening our leadership, and transforming our commercial execution. Now, we're making the biggestchanges we've made to our business in over 20 years.We're on track to separate and create two new companies in 2022:
New GSK with a leading portfolio of vaccines and specialty medicines as well as R&D based on immune system and geneticsscience; and a new world-leading consumer healthcare company of loved and trusted brands.
With new ambition comes new purpose. For New GSK, this is to unite science, talent and technology to get ahead of diseasetogether - all with the clear ambition of delivering human health impact; stronger and more sustainable shareholder returns; andas a new GSK where outstanding people thrive.
Getting ahead means preventing disease as well as treating it. How we do all this is through our people and our culture. A culturethat isambitious for patients
- so we deliver what matters better and faster;accountable for impact
- with clear ownership ofgoals and support to succeed; andwhere we do the right thing
. So, if you're ready to improve the lives of billions, join us at thisexciting moment in our journey. Join our challenge to get Ahead Together.
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