Real-World Data Analytics Scientist

Key Skills

Java Programming, Python Programming, SQL, R Programming, SAS

Job Description

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.

Design and Analysis

• Manage a portfolio of work to ensure delivery of quality work products to agreed timelines
• Share real-world data (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 QUALIFICIATIONS

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

• Three or more 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
• Three or more years experience and practical knowledge of statistical/analytic software (e.g., SAS, R, IHD)

• Three or more years of experience working with RWD for use in pharmacoepidemiology research with good practical knowledge in biostatistics applied to clinical/epidemiological research
• Three or more years of experience delivering robust, timely, high-quality analytics
• Three or more years of experience collaborating and working on a wide range of projects and requests across multiple TAs

PREFERRED QUALIFICATIONS

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
• 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
• 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
• Fluent in written and spoken English with the ability to effectively communicate and able to articulate complex concepts to diverse audiences, demonstrated throughout the interview process.

Why GSK?

At GSK, we have already delivered unprecedented change over the past four years, improving R&D, becoming a leader in Consumer Health, strengthening our leadership, and transforming our commercial execution. Now, we’re making the biggest changes 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 genetics science; 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 disease together – all with the clear ambition of delivering human health impact; stronger and more sustainable shareholder returns; and as 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 culture that is ambitious for patients – so we deliver what matters better and faster; accountable for impact – with clear ownership of goals and support to succeed; and where we do the right thing. So, if you’re ready to improve the lives of billions, join us at this exciting moment in our journey. Join our challenge to get Ahead Together.