Site Name: Home Worker - USA, Belgium-Wavre, Home Worker - GBR
Posted Date: Oct 24 2024
The Associate Director, Real-World Analytics, Oncology Therapeutic Area uses data and methodological expertise to develop study and protocol designs and statistical analysis plans (SAPs) for the analysis of existing complex health data sets, including real-world data (RWD). This work is conducted in collaboration with Scientists in the Epidemiology and Medical Evidence Generation organizations, and other colleagues 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.
RESPONSIBILITIES:
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
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 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 or new complex health data sets. Responsibilities include: author protocol/statistical analysis plan (includes selecting approach to quantitative bias control, statistical power/precision, sample size), 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
As needed, provide RWD and methodological expertise to support study teams in out-sourced studies
Communication of Results
Assist with, or be responsible for, oral and written communication of analytic and study 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
Leadership and Teamwork
Build and maintain effective strategic working relationships with internal and external partners to meet business needs
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 Evidence Generation and Epidemiology teams
Apply innovative 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), Integrated Evidence Team (IET), as part of a study team (in-sourced or out-sourced), and in coordination with the RWDMP team
Mentor team members, in particular RWA scientists and RW Programmers
BASIC QUALIFICIATIONS:
MS in a quantitative discipline such as epidemiology, health economics, health services research, health informatics, or biostatistics
3 or more years of experience working with RWD for use in pharmacoepidemiology and/or health outcomes research
Experience with biostatistics applied to clinical/epidemiological research
3 or more years of experience and practical knowledge of statistical/analytic software (e.g., SAS, R, IHD)
PREFERRED QUALIFICATIONS:
A good understanding of drug development processes and strategies, with proven ability to apply innovative statistical thinking to meet project and/or business objectives
Fluent in written and spoken English to effectively communicate and able to articulate complex concepts to diverse audiences
PhD degree in a quantitative discipline such as epidemiology, health economics, health services research, health informatics, or biostatistics
At least 5 years of experience and practical knowledge of statistical/analytic software (e.g., SAS, R, IHD)
Prior experience working in oncology within 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
#LI-GSK
The annual base salary for new hires in this position ranges from $150,450 to $203,550 taking into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.
Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.
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